-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
0.47
0.46723938 = product of:
0.83064777 = sum of:
0.044339646 = weight(_text_:web in 563) [ClassicSimilarity], result of:
0.044339646 = score(doc=563,freq=8.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.43268442 = fieldWeight in 563, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14961675 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14961675 = score(doc=563,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14961675 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14961675 = score(doc=563,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14961675 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14961675 = score(doc=563,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.006414798 = weight(_text_:information in 563) [ClassicSimilarity], result of:
0.006414798 = score(doc=563,freq=2.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.116372846 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.01904665 = weight(_text_:retrieval in 563) [ClassicSimilarity], result of:
0.01904665 = score(doc=563,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.20052543 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14961675 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14961675 = score(doc=563,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14961675 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14961675 = score(doc=563,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.012762985 = product of:
0.02552597 = sum of:
0.02552597 = weight(_text_:22 in 563) [ClassicSimilarity], result of:
0.02552597 = score(doc=563,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.23214069 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.5 = coord(1/2)
0.5625 = coord(9/16)
- Abstract
- In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
- Content
- A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
- Date
- 10. 1.2013 19:22:47
-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
0.42
0.4164444 = product of:
0.8328888 = sum of:
0.04987225 = product of:
0.14961675 = sum of:
0.14961675 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.33333334 = coord(1/3)
0.022169823 = weight(_text_:web in 562) [ClassicSimilarity], result of:
0.022169823 = score(doc=562,freq=2.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.21634221 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.14961675 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.14961675 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.14961675 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.14961675 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.14961675 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
0.14961675 = score(doc=562,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.012762985 = product of:
0.02552597 = sum of:
0.02552597 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
0.02552597 = score(doc=562,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.23214069 = fieldWeight in 562, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=562)
0.5 = coord(1/2)
0.5 = coord(8/16)
- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
0.38
0.37973848 = product of:
0.8679737 = sum of:
0.04987225 = product of:
0.14961675 = sum of:
0.14961675 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.33333334 = coord(1/3)
0.07001776 = weight(_text_:2.0 in 862) [ClassicSimilarity], result of:
0.07001776 = score(doc=862,freq=2.0), product of:
0.18211427 = queryWeight, product of:
5.799733 = idf(docFreq=363, maxDocs=44218)
0.031400457 = queryNorm
0.3844716 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.799733 = idf(docFreq=363, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.14961675 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.14961675 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.14961675 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.14961675 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.14961675 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
0.14961675 = score(doc=862,freq=2.0), product of:
0.26621342 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.031400457 = queryNorm
0.56201804 = fieldWeight in 862, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=862)
0.4375 = coord(7/16)
- Abstract
- This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges- summary and question answering- prompt ChatGPT to produce original content (98-99%) from a single text entry and sequential questions initially posed by Turing in 1950. We score the original and generated content against the OpenAI GPT-2 Output Detector from 2019, and establish multiple cases where the generated content proves original and undetectable (98%). The question of a machine fooling a human judge recedes in this work relative to the question of "how would one prove it?" The original contribution of the work presents a metric and simple grammatical set for understanding the writing mechanics of chatbots in evaluating their readability and statistical clarity, engagement, delivery, overall quality, and plagiarism risks. While Turing's original prose scores at least 14% below the machine-generated output, whether an algorithm displays hints of Turing's true initial thoughts (the "Lovelace 2.0" test) remains unanswerable.
- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Artemenko, O.; Shramko, M.: Entwicklung eines Werkzeugs zur Sprachidentifikation in mono- und multilingualen Texten (2005)
0.04
0.04334297 = product of:
0.11558126 = sum of:
0.023837745 = weight(_text_:wide in 572) [ClassicSimilarity], result of:
0.023837745 = score(doc=572,freq=2.0), product of:
0.13912784 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.031400457 = queryNorm
0.171337 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.018289173 = weight(_text_:web in 572) [ClassicSimilarity], result of:
0.018289173 = score(doc=572,freq=4.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.17847323 = fieldWeight in 572, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.039491575 = weight(_text_:benutzer in 572) [ClassicSimilarity], result of:
0.039491575 = score(doc=572,freq=2.0), product of:
0.17907447 = queryWeight, product of:
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.031400457 = queryNorm
0.22053158 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.0037419656 = weight(_text_:information in 572) [ClassicSimilarity], result of:
0.0037419656 = score(doc=572,freq=2.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.06788416 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.011110546 = weight(_text_:retrieval in 572) [ClassicSimilarity], result of:
0.011110546 = score(doc=572,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.11697317 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.019110262 = weight(_text_:software in 572) [ClassicSimilarity], result of:
0.019110262 = score(doc=572,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.15340936 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.375 = coord(6/16)
- Abstract
- Mit der Verbreitung des Internets vermehrt sich die Menge der im World Wide Web verfügbaren Dokumente. Die Gewährleistung eines effizienten Zugangs zu gewünschten Informationen für die Internetbenutzer wird zu einer großen Herausforderung an die moderne Informationsgesellschaft. Eine Vielzahl von Werkzeugen wird bereits eingesetzt, um den Nutzern die Orientierung in der wachsenden Informationsflut zu erleichtern. Allerdings stellt die enorme Menge an unstrukturierten und verteilten Informationen nicht die einzige Schwierigkeit dar, die bei der Entwicklung von Werkzeugen dieser Art zu bewältigen ist. Die zunehmende Vielsprachigkeit von Web-Inhalten resultiert in dem Bedarf an Sprachidentifikations-Software, die Sprache/en von elektronischen Dokumenten zwecks gezielter Weiterverarbeitung identifiziert. Solche Sprachidentifizierer können beispielsweise effektiv im Bereich des Multilingualen Information Retrieval eingesetzt werden, da auf den Sprachidentifikationsergebnissen Prozesse der automatischen Indexbildung wie Stemming, Stoppwörterextraktion etc. aufbauen. In der vorliegenden Arbeit wird das neue System "LangIdent" zur Sprachidentifikation von elektronischen Textdokumenten vorgestellt, das in erster Linie für Lehre und Forschung an der Universität Hildesheim verwendet werden soll. "LangIdent" enthält eine Auswahl von gängigen Algorithmen zu der monolingualen Sprachidentifikation, die durch den Benutzer interaktiv ausgewählt und eingestellt werden können. Zusätzlich wurde im System ein neuer Algorithmus implementiert, der die Identifikation von Sprachen, in denen ein multilinguales Dokument verfasst ist, ermöglicht. Die Identifikation beschränkt sich nicht nur auf eine Aufzählung von gefundenen Sprachen, vielmehr wird der Text in monolinguale Abschnitte aufgeteilt, jeweils mit der Angabe der identifizierten Sprache.
-
Bernhard, U.; Mistrik, I.: Rechnergestützte Übersetzung : Einführung und Technik (1998)
0.03
0.03226123 = product of:
0.12904492 = sum of:
0.022169823 = weight(_text_:web in 5343) [ClassicSimilarity], result of:
0.022169823 = score(doc=5343,freq=2.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.21634221 = fieldWeight in 5343, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=5343)
0.06769984 = weight(_text_:benutzer in 5343) [ClassicSimilarity], result of:
0.06769984 = score(doc=5343,freq=2.0), product of:
0.17907447 = queryWeight, product of:
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.031400457 = queryNorm
0.37805414 = fieldWeight in 5343, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.046875 = fieldNorm(doc=5343)
0.006414798 = weight(_text_:information in 5343) [ClassicSimilarity], result of:
0.006414798 = score(doc=5343,freq=2.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.116372846 = fieldWeight in 5343, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=5343)
0.032760452 = weight(_text_:software in 5343) [ClassicSimilarity], result of:
0.032760452 = score(doc=5343,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.2629875 = fieldWeight in 5343, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.046875 = fieldNorm(doc=5343)
0.25 = coord(4/16)
- Abstract
- Softwaresysteme zur maschinellen und maschinengestützten Übersetzung natürlicher Sprachen erfuhren in den letzten 2 bis 3 Jahren eine erstaunliche Entwicklung. Fortschritte in der Datenbanktechnik, neue leistungsfähigere computerlinguistische Ansätze und eine grundlegende Verbesserung des Preis / Leistungsverhältnisses bei Ein- und Mehrplatz-Hard- und Software machen heute bisher noch nie dagewesene Lösungen möglich, die zu einem Bruchteil der früheren Kosten angeschafft und betrieben werden können. Als Folge diese Entwicklung drängte eine Vielzahl neuer Produkte auf den Übersetzungssoftware-Markt, was - obwohl generell zu begrüßen - für potentielle neue Benutzer die Auswahl des für ihre Anwendungsumgebung geeigneten Produkts erschwert. Vor diesem Hintergrund stellt der vorliegende Artikel die Technik der maschinellen und maschinengestützten Übersetzung dar. Es werden Richtlinien vorgestellt, die potentiellen neuen Benutzern der MÜ-Technik die Auswahl eines geeigneten Werkzeugs erleichtern sollen. Im Anhang werden einige Übersetzungssoftware-Produkte kurz vorgestellt
- Object
- Globalink Web Translator
- Source
- nfd Information - Wissenschaft und Praxis. 49(1998) H.1, S.5-10
-
Kreymer, O.: ¬An evaluation of help mechanisms in natural language information retrieval systems (2002)
0.03
0.027503144 = product of:
0.110012576 = sum of:
0.040864702 = weight(_text_:wide in 2557) [ClassicSimilarity], result of:
0.040864702 = score(doc=2557,freq=2.0), product of:
0.13912784 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.031400457 = queryNorm
0.29372054 = fieldWeight in 2557, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.046875 = fieldNorm(doc=2557)
0.009586309 = product of:
0.019172618 = sum of:
0.019172618 = weight(_text_:online in 2557) [ClassicSimilarity], result of:
0.019172618 = score(doc=2557,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.20118743 = fieldWeight in 2557, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.046875 = fieldNorm(doc=2557)
0.5 = coord(1/2)
0.01697196 = weight(_text_:information in 2557) [ClassicSimilarity], result of:
0.01697196 = score(doc=2557,freq=14.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.3078936 = fieldWeight in 2557, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=2557)
0.042589605 = weight(_text_:retrieval in 2557) [ClassicSimilarity], result of:
0.042589605 = score(doc=2557,freq=10.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.44838852 = fieldWeight in 2557, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=2557)
0.25 = coord(4/16)
- Abstract
- The field of natural language processing (NLP) demonstrates rapid changes in the design of information retrieval systems and human-computer interaction. While natural language is being looked on as the most effective tool for information retrieval in a contemporary information environment, the systems using it are only beginning to emerge. This study attempts to evaluate the current state of NLP information retrieval systems from the user's point of view: what techniques are used by these systems to guide their users through the search process? The analysis focused on the structure and components of the systems' help mechanisms. Results of the study demonstrated that systems which claimed to be using natural language searching in fact used a wide range of information retrieval techniques from real natural language processing to Boolean searching. As a result, the user assistance mechanisms of these systems also varied. While pseudo-NLP systems would suit a more traditional method of instruction, real NLP systems primarily utilised the methods of explanation and user-system dialogue.
- Source
- Online information review. 26(2002) no.1, S.30-39
-
Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004)
0.03
0.026573721 = product of:
0.085035905 = sum of:
0.031999387 = weight(_text_:web in 2541) [ClassicSimilarity], result of:
0.031999387 = score(doc=2541,freq=6.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.3122631 = fieldWeight in 2541, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=2541)
0.00798859 = product of:
0.01597718 = sum of:
0.01597718 = weight(_text_:online in 2541) [ClassicSimilarity], result of:
0.01597718 = score(doc=2541,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.16765618 = fieldWeight in 2541, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.0390625 = fieldNorm(doc=2541)
0.5 = coord(1/2)
0.007559912 = weight(_text_:information in 2541) [ClassicSimilarity], result of:
0.007559912 = score(doc=2541,freq=4.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.13714671 = fieldWeight in 2541, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2541)
0.022446692 = weight(_text_:retrieval in 2541) [ClassicSimilarity], result of:
0.022446692 = score(doc=2541,freq=4.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.23632148 = fieldWeight in 2541, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=2541)
0.015041322 = product of:
0.030082645 = sum of:
0.030082645 = weight(_text_:22 in 2541) [ClassicSimilarity], result of:
0.030082645 = score(doc=2541,freq=4.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.27358043 = fieldWeight in 2541, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2541)
0.5 = coord(1/2)
0.3125 = coord(5/16)
- Abstract
- The Specialized Information Services Division (SIS) of the National Library of Medicine (NLM) provides Web access to more than a dozen scientific databases on toxicology and the environment on TOXNET . Search queries on TOXNET often include misspelled or variant English words, medical and scientific jargon and chemical names. Following the example of search engines like Google and ClinicalTrials.gov, we set out to develop a spelling "suggestion" system for increased recall and precision in TOXNET searching. This paper describes development of dictionary technology that can be used in a variety of applications such as orthographic verification, writing aid, natural language processing, and information storage and retrieval. The design of the technology allows building complex applications using the components developed in the earlier phases of the work in a modular fashion without extensive rewriting of computer code. Since many of the potential applications envisioned for this work have on-line or web-based interfaces, the dictionaries and other computer components must have fast response, and must be adaptable to open-ended database vocabularies, including chemical nomenclature. The dictionary vocabulary for this work was derived from SIS and other databases and specialized resources, such as NLM's Unified Medical Language Systems (UMLS) . The resulting technology, A-Z Dictionary (AZdict), has three major constituents: 1) the vocabulary list, 2) the word attributes that define part of speech and morphological relationships between words in the list, and 3) a set of programs that implements the retrieval of words and their attributes, and determines similarity between words (ChemSpell). These three components can be used in various applications such as spelling verification, spelling aid, part-of-speech tagging, paraphrasing, and many other natural language processing functions.
- Date
- 14. 8.2004 17:22:56
- Source
- Online. 28(2004) no.3, S.22-29
-
Bian, G.-W.; Chen, H.-H.: Cross-language information access to multilingual collections on the Internet (2000)
0.03
0.026206115 = product of:
0.08385957 = sum of:
0.031352866 = weight(_text_:web in 4436) [ClassicSimilarity], result of:
0.031352866 = score(doc=4436,freq=4.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.3059541 = fieldWeight in 4436, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4436)
0.009586309 = product of:
0.019172618 = sum of:
0.019172618 = weight(_text_:online in 4436) [ClassicSimilarity], result of:
0.019172618 = score(doc=4436,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.20118743 = fieldWeight in 4436, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.046875 = fieldNorm(doc=4436)
0.5 = coord(1/2)
0.011110757 = weight(_text_:information in 4436) [ClassicSimilarity], result of:
0.011110757 = score(doc=4436,freq=6.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.20156369 = fieldWeight in 4436, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=4436)
0.01904665 = weight(_text_:retrieval in 4436) [ClassicSimilarity], result of:
0.01904665 = score(doc=4436,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.20052543 = fieldWeight in 4436, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=4436)
0.012762985 = product of:
0.02552597 = sum of:
0.02552597 = weight(_text_:22 in 4436) [ClassicSimilarity], result of:
0.02552597 = score(doc=4436,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.23214069 = fieldWeight in 4436, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=4436)
0.5 = coord(1/2)
0.3125 = coord(5/16)
- Abstract
- Language barrier is the major problem that people face in searching for, retrieving, and understanding multilingual collections on the Internet. This paper deals with query translation and document translation in a Chinese-English information retrieval system called MTIR. Bilingual dictionary and monolingual corpus-based approaches are adopted to select suitable tranlated query terms. A machine transliteration algorithm is introduced to resolve proper name searching. We consider several design issues for document translation, including which material is translated, what roles the HTML tags play in translation, what the tradeoff is between the speed performance and the translation performance, and what from the translated result is presented in. About 100.000 Web pages translated in the last 4 months of 1997 are used for quantitative study of online and real-time Web page translation
- Date
- 16. 2.2000 14:22:39
- Source
- Journal of the American Society for Information Science. 51(2000) no.3, S.281-296
-
Yang, C.C.; Luk, J.: Automatic generation of English/Chinese thesaurus based on a parallel corpus in laws (2003)
0.03
0.025897788 = product of:
0.08287292 = sum of:
0.023837745 = weight(_text_:wide in 1616) [ClassicSimilarity], result of:
0.023837745 = score(doc=1616,freq=2.0), product of:
0.13912784 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.031400457 = queryNorm
0.171337 = fieldWeight in 1616, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.02734375 = fieldNorm(doc=1616)
0.025864797 = weight(_text_:web in 1616) [ClassicSimilarity], result of:
0.025864797 = score(doc=1616,freq=8.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.25239927 = fieldWeight in 1616, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.02734375 = fieldNorm(doc=1616)
0.0064812745 = weight(_text_:information in 1616) [ClassicSimilarity], result of:
0.0064812745 = score(doc=1616,freq=6.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.11757882 = fieldWeight in 1616, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02734375 = fieldNorm(doc=1616)
0.01924403 = weight(_text_:retrieval in 1616) [ClassicSimilarity], result of:
0.01924403 = score(doc=1616,freq=6.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.20260347 = fieldWeight in 1616, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02734375 = fieldNorm(doc=1616)
0.0074450746 = product of:
0.014890149 = sum of:
0.014890149 = weight(_text_:22 in 1616) [ClassicSimilarity], result of:
0.014890149 = score(doc=1616,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.1354154 = fieldWeight in 1616, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02734375 = fieldNorm(doc=1616)
0.5 = coord(1/2)
0.3125 = coord(5/16)
- Abstract
- The information available in languages other than English in the World Wide Web is increasing significantly. According to a report from Computer Economics in 1999, 54% of Internet users are English speakers ("English Will Dominate Web for Only Three More Years," Computer Economics, July 9, 1999, http://www.computereconomics. com/new4/pr/pr990610.html). However, it is predicted that there will be only 60% increase in Internet users among English speakers verses a 150% growth among nonEnglish speakers for the next five years. By 2005, 57% of Internet users will be non-English speakers. A report by CNN.com in 2000 showed that the number of Internet users in China had been increased from 8.9 million to 16.9 million from January to June in 2000 ("Report: China Internet users double to 17 million," CNN.com, July, 2000, http://cnn.org/2000/TECH/computing/07/27/ china.internet.reut/index.html). According to Nielsen/ NetRatings, there was a dramatic leap from 22.5 millions to 56.6 millions Internet users from 2001 to 2002. China had become the second largest global at-home Internet population in 2002 (US's Internet population was 166 millions) (Robyn Greenspan, "China Pulls Ahead of Japan," Internet.com, April 22, 2002, http://cyberatias.internet.com/big-picture/geographics/article/0,,5911_1013841,00. html). All of the evidences reveal the importance of crosslingual research to satisfy the needs in the near future. Digital library research has been focusing in structural and semantic interoperability in the past. Searching and retrieving objects across variations in protocols, formats and disciplines are widely explored (Schatz, B., & Chen, H. (1999). Digital libraries: technological advances and social impacts. IEEE Computer, Special Issue an Digital Libraries, February, 32(2), 45-50.; Chen, H., Yen, J., & Yang, C.C. (1999). International activities: development of Asian digital libraries. IEEE Computer, Special Issue an Digital Libraries, 32(2), 48-49.). However, research in crossing language boundaries, especially across European languages and Oriental languages, is still in the initial stage. In this proposal, we put our focus an cross-lingual semantic interoperability by developing automatic generation of a cross-lingual thesaurus based an English/Chinese parallel corpus. When the searchers encounter retrieval problems, Professional librarians usually consult the thesaurus to identify other relevant vocabularies. In the problem of searching across language boundaries, a cross-lingual thesaurus, which is generated by co-occurrence analysis and Hopfield network, can be used to generate additional semantically relevant terms that cannot be obtained from dictionary. In particular, the automatically generated cross-lingual thesaurus is able to capture the unknown words that do not exist in a dictionary, such as names of persons, organizations, and events. Due to Hong Kong's unique history background, both English and Chinese are used as official languages in all legal documents. Therefore, English/Chinese cross-lingual information retrieval is critical for applications in courts and the government. In this paper, we develop an automatic thesaurus by the Hopfield network based an a parallel corpus collected from the Web site of the Department of Justice of the Hong Kong Special Administrative Region (HKSAR) Government. Experiments are conducted to measure the precision and recall of the automatic generated English/Chinese thesaurus. The result Shows that such thesaurus is a promising tool to retrieve relevant terms, especially in the language that is not the same as the input term. The direct translation of the input term can also be retrieved in most of the cases.
- Footnote
- Teil eines Themenheftes: "Web retrieval and mining: A machine learning perspective"
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.7, S.671-682
-
Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014)
0.03
0.025840215 = product of:
0.10336086 = sum of:
0.03405392 = weight(_text_:wide in 1338) [ClassicSimilarity], result of:
0.03405392 = score(doc=1338,freq=2.0), product of:
0.13912784 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.031400457 = queryNorm
0.24476713 = fieldWeight in 1338, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.0390625 = fieldNorm(doc=1338)
0.018474855 = weight(_text_:web in 1338) [ClassicSimilarity], result of:
0.018474855 = score(doc=1338,freq=2.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.18028519 = fieldWeight in 1338, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=1338)
0.01195327 = weight(_text_:information in 1338) [ClassicSimilarity], result of:
0.01195327 = score(doc=1338,freq=10.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.21684799 = fieldWeight in 1338, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1338)
0.038878813 = weight(_text_:retrieval in 1338) [ClassicSimilarity], result of:
0.038878813 = score(doc=1338,freq=12.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.40932083 = fieldWeight in 1338, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=1338)
0.25 = coord(4/16)
- Abstract
- A user's query is considered to be an imprecise description of their information need. Automatic query expansion is the process of reformulating the original query with the goal of improving retrieval effectiveness. Many successful query expansion techniques model syntagmatic associations that infer two terms co-occur more often than by chance in natural language. However, structural linguistics relies on both syntagmatic and paradigmatic associations to deduce the meaning of a word. Given the success of dependency-based approaches to query expansion and the reliance on word meanings in the query formulation process, we argue that modeling both syntagmatic and paradigmatic information in the query expansion process improves retrieval effectiveness. This article develops and evaluates a new query expansion technique that is based on a formal, corpus-based model of word meaning that models syntagmatic and paradigmatic associations. We demonstrate that when sufficient statistical information exists, as in the case of longer queries, including paradigmatic information alone provides significant improvements in retrieval effectiveness across a wide variety of data sets. More generally, when our new query expansion approach is applied to large-scale web retrieval it demonstrates significant improvements in retrieval effectiveness over a strong baseline system, based on a commercial search engine.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1577-1596
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
McCune, B.P.; Tong, R.M.; Dean, J.S.: Rubric: a system for rule-based information retrieval (1985)
0.03
0.025788143 = product of:
0.13753676 = sum of:
0.018143788 = weight(_text_:information in 1945) [ClassicSimilarity], result of:
0.018143788 = score(doc=1945,freq=4.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.3291521 = fieldWeight in 1945, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.09375 = fieldNorm(doc=1945)
0.05387206 = weight(_text_:retrieval in 1945) [ClassicSimilarity], result of:
0.05387206 = score(doc=1945,freq=4.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.5671716 = fieldWeight in 1945, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.09375 = fieldNorm(doc=1945)
0.065520905 = weight(_text_:software in 1945) [ClassicSimilarity], result of:
0.065520905 = score(doc=1945,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.525975 = fieldWeight in 1945, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.09375 = fieldNorm(doc=1945)
0.1875 = coord(3/16)
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.440-445.
- Source
- IEEE transactions on software engineering. 11(1985), S.939-945
-
Addison, E.R.; Wilson, H.D.; Feder, J.: ¬The impact of plain English searching on end users (1993)
0.03
0.025491651 = product of:
0.101966605 = sum of:
0.018076118 = product of:
0.036152236 = sum of:
0.036152236 = weight(_text_:online in 5354) [ClassicSimilarity], result of:
0.036152236 = score(doc=5354,freq=4.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.37936267 = fieldWeight in 5354, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.0625 = fieldNorm(doc=5354)
0.5 = coord(1/2)
0.014814342 = weight(_text_:information in 5354) [ClassicSimilarity], result of:
0.014814342 = score(doc=5354,freq=6.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.2687516 = fieldWeight in 5354, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=5354)
0.025395533 = weight(_text_:retrieval in 5354) [ClassicSimilarity], result of:
0.025395533 = score(doc=5354,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.26736724 = fieldWeight in 5354, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=5354)
0.043680605 = weight(_text_:software in 5354) [ClassicSimilarity], result of:
0.043680605 = score(doc=5354,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.35064998 = fieldWeight in 5354, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0625 = fieldNorm(doc=5354)
0.25 = coord(4/16)
- Abstract
- Commercial software products are available with plain English searching capabilities as engines for online and CD-ROM information services, and for internal text information management. With plain English interfaces, end users do not need to master the keyword and connector approach of the Boolean search query language. Describes plain English searching and its impact on the process of full text retrieval. Explores the issues of ease of use, reliability and implications for the total research process
- Imprint
- Medford, NJ : Learned Information
- Source
- Proceedings of the 14th National Online Meeting 1993, New York, 4-6 May 1993. Ed.: M.E. Williams
-
Chowdhury, G.G.: Natural language processing (2002)
0.02
0.023297984 = product of:
0.09319194 = sum of:
0.040864702 = weight(_text_:wide in 4284) [ClassicSimilarity], result of:
0.040864702 = score(doc=4284,freq=2.0), product of:
0.13912784 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.031400457 = queryNorm
0.29372054 = fieldWeight in 4284, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.046875 = fieldNorm(doc=4284)
0.022169823 = weight(_text_:web in 4284) [ClassicSimilarity], result of:
0.022169823 = score(doc=4284,freq=2.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.21634221 = fieldWeight in 4284, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4284)
0.011110757 = weight(_text_:information in 4284) [ClassicSimilarity], result of:
0.011110757 = score(doc=4284,freq=6.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.20156369 = fieldWeight in 4284, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=4284)
0.01904665 = weight(_text_:retrieval in 4284) [ClassicSimilarity], result of:
0.01904665 = score(doc=4284,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.20052543 = fieldWeight in 4284, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=4284)
0.25 = coord(4/16)
- Abstract
- Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. NLP researchers aim to gather knowledge an how human beings understand and use language so that appropriate tools and techniques can be developed to make computer systems understand and manipulate natural languages to perform desired tasks. The foundations of NLP lie in a number of disciplines, namely, computer and information sciences, linguistics, mathematics, electrical and electronic engineering, artificial intelligence and robotics, and psychology. Applications of NLP include a number of fields of study, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross-language information retrieval (CLIR), speech recognition, artificial intelligence, and expert systems. One important application area that is relatively new and has not been covered in previous ARIST chapters an NLP relates to the proliferation of the World Wide Web and digital libraries.
- Source
- Annual review of information science and technology. 37(2003), S.51-90
-
Sagawe, H.: Einfluß 'intelligenter' Maschinen auf menschliches Verhalten (1994)
0.02
0.02301268 = product of:
0.18410143 = sum of:
0.12950069 = weight(_text_:soziale in 1714) [ClassicSimilarity], result of:
0.12950069 = score(doc=1714,freq=8.0), product of:
0.19184545 = queryWeight, product of:
6.1096387 = idf(docFreq=266, maxDocs=44218)
0.031400457 = queryNorm
0.6750261 = fieldWeight in 1714, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
6.1096387 = idf(docFreq=266, maxDocs=44218)
0.0390625 = fieldNorm(doc=1714)
0.054600753 = weight(_text_:software in 1714) [ClassicSimilarity], result of:
0.054600753 = score(doc=1714,freq=8.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.43831247 = fieldWeight in 1714, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0390625 = fieldNorm(doc=1714)
0.125 = coord(2/16)
- Classification
- CV 3500 Psychologie / Sozialpsychologie / Kommunikation, Massenmedien, soziale Beeinflussung, soziale Macht
ST 278 Informatik / Monographien / Software und -entwicklung / Mensch-Maschine-Kommunikation Software-Ergonomie
- RVK
- CV 3500 Psychologie / Sozialpsychologie / Kommunikation, Massenmedien, soziale Beeinflussung, soziale Macht
ST 278 Informatik / Monographien / Software und -entwicklung / Mensch-Maschine-Kommunikation Software-Ergonomie
-
Pollitt, A.S.; Ellis, G.: Multilingual access to document databases (1993)
0.02
0.022041531 = product of:
0.088166125 = sum of:
0.009586309 = product of:
0.019172618 = sum of:
0.019172618 = weight(_text_:online in 1302) [ClassicSimilarity], result of:
0.019172618 = score(doc=1302,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.20118743 = fieldWeight in 1302, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.046875 = fieldNorm(doc=1302)
0.5 = coord(1/2)
0.012829596 = weight(_text_:information in 1302) [ClassicSimilarity], result of:
0.012829596 = score(doc=1302,freq=8.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.23274569 = fieldWeight in 1302, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=1302)
0.032989766 = weight(_text_:retrieval in 1302) [ClassicSimilarity], result of:
0.032989766 = score(doc=1302,freq=6.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.34732026 = fieldWeight in 1302, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=1302)
0.032760452 = weight(_text_:software in 1302) [ClassicSimilarity], result of:
0.032760452 = score(doc=1302,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.2629875 = fieldWeight in 1302, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.046875 = fieldNorm(doc=1302)
0.25 = coord(4/16)
- Abstract
- This paper examines the reasons why approaches to facilitate document retrieval which apply AI (Artificial Intelligence) or Expert Systems techniques, relying on so-called "natural language" query statements from the end-user will result in sub-optimal solutions. It does so by reflecting on the nature of language and the fundamental problems in document retrieval. Support is given to the work of thesaurus builders and indexers with illustrations of how their work may be utilised in a generally applicable computer-based document retrieval system using Multilingual MenUSE software. The EuroMenUSE interface providing multilingual document access to EPOQUE, the European Parliament's Online Query System is described.
- Imprint
- Antigonish, NS : Canadian Association for Information Science
- Series
- Annual Conference / Canadian Association for Information Science ; 21
- Source
- Information as a Global Commodity - Communication, Processing and Use (CAIS/ACSI '93) : 21st Annual Conference Canadian Association for Information Science, Antigonish, Nova Scotia, Canada. July 1993
-
Volk, M.; Mittermaier, H.; Schurig, A.; Biedassek, T.: Halbautomatische Volltextanalyse, Datenbankaufbau und Document Retrieval (1992)
0.02
0.020379033 = product of:
0.108688176 = sum of:
0.07898315 = weight(_text_:benutzer in 2571) [ClassicSimilarity], result of:
0.07898315 = score(doc=2571,freq=2.0), product of:
0.17907447 = queryWeight, product of:
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.031400457 = queryNorm
0.44106317 = fieldWeight in 2571, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.0546875 = fieldNorm(doc=2571)
0.0074839313 = weight(_text_:information in 2571) [ClassicSimilarity], result of:
0.0074839313 = score(doc=2571,freq=2.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.13576832 = fieldWeight in 2571, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=2571)
0.022221092 = weight(_text_:retrieval in 2571) [ClassicSimilarity], result of:
0.022221092 = score(doc=2571,freq=2.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.23394634 = fieldWeight in 2571, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=2571)
0.1875 = coord(3/16)
- Abstract
- In diesem Aufsatz beschreiben wir ein System zur Analyse von Kurzartikeln. Das System arbeitet halbautomatisch. Das heißt, zunächst wird der Artikel vom System analysiert und dann dem benutzer zur Nachberarbeitung vorgelegt. Die so gewonnene Information wird in einem Datenbankeintrag abgelegt. Über die Datenbank - in dBase IV implementiert - sind dann Abfragen und Zugriffe auf die Originaltexte effizient möglich. Der Kern dieses Aufsatzes betrifft die halbautomatische Analyse. Wir beschreiben unser Verfahren für parametrisiertes Pattern Matching sowie linguistische Heuristiken zur Ermittlung von Nominalphrasen und Präpositionalphrasen. Das System wurde für den praktischen Einsatz im Bonner Büro des 'Forums InformatikerInnen Für Frieden und gesellschaftliche Verantwortung e.V. (FIFF)' entwickelt
-
Melzer, C.: ¬Der Maschine anpassen : PC-Spracherkennung - Programme sind mittlerweile alltagsreif (2005)
0.02
0.018073978 = product of:
0.09639455 = sum of:
0.05584952 = weight(_text_:benutzer in 4044) [ClassicSimilarity], result of:
0.05584952 = score(doc=4044,freq=4.0), product of:
0.17907447 = queryWeight, product of:
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.031400457 = queryNorm
0.31187874 = fieldWeight in 4044, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.02734375 = fieldNorm(doc=4044)
0.03309995 = weight(_text_:software in 4044) [ClassicSimilarity], result of:
0.03309995 = score(doc=4044,freq=6.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.26571283 = fieldWeight in 4044, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.02734375 = fieldNorm(doc=4044)
0.0074450746 = product of:
0.014890149 = sum of:
0.014890149 = weight(_text_:22 in 4044) [ClassicSimilarity], result of:
0.014890149 = score(doc=4044,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.1354154 = fieldWeight in 4044, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02734375 = fieldNorm(doc=4044)
0.5 = coord(1/2)
0.1875 = coord(3/16)
- Content
- "Der Spracherkennung am Computer schien vor wenigen Jahren die Zukunft zu gehören. Geradezu euphorisch waren viele Computernutzer, als sich auf den Bildschirmen die ersten gesprochenen Sätze als Text darstellten. Doch die Spracherkennung erwies sich als anfällig, die Nachbearbeitung nahm manchmal mehr Zeit in Anspruch als gespart wurde. Dabei ist die Kommunikation des Menschen mit der Maschine über die Tastatur eigentlich höchst kompliziert - selbst geübte Schreiber sprechen schneller als sie tippen. Deshalb hat sich inzwischen viel getan: Im Preis und in der Genauigkeit sind viele Spracherkennungsprogramme heute alltagsreif. Die besten Systeme kosten aber noch immer mehrere hundert Euro, die günstigsten weisen Lücken auf. Letztlich gilt: Respektable Ergebnisse sind erreichbar, wenn sich der Mensch der Maschine anpasst. Die Stiftung Warentest in Berlin hat die sechs gängigsten Systeme auf den Prüfstand gestellt. Die ersten Ergebnisse waren ernüchternd: Das deutlich gesprochene "Johann Wolfgang von Goethe" wurde als "Juan Wolf kann Mohnblüte", "Jaun Wolfgang von Göbel" oder "Johann-Wolfgang Wohngüte" geschrieben. Grundsätzlich gilt: Bei einem einfachen Basiswortschatz sind die Ergebnisse genau, sobald es etwas spezieller wird, wird die Software erfinderisch. "Zweiter Weltkrieg" kann dann zu "Zeit für Geld kriegt" werden. Doch ebenso wie der Nutzer lernt auch das System. Bei der Software ist Lernfähigkeit Standard. Ohnehin muss der Benutzer das System einrichten, indem er vorgegebene Texte liest. Dabei wird das Programm der Stimme und der Sprechgeschwindigkeit angepasst. Hier gilt, dass der Anwender deutlich, aber ganz normal vorlesen sollte. Wer akzentuiert und übertrieben betont, wird später mit ungenauen Ausgaben bestraft. Erkennt das System auch nach dem Training einzelne Wörter nicht, können sie nachträglich eingefügt werden. Gleiches gilt für kompliziertere Orts- oder Eigennamen. Wie gut das funktioniert, beweist ein Gegentest: Liest ein anderer den selben Text vor, sinkt das Erkennungsniveau rapide. Die beste Lernfähigkeit attestierten die Warentester dem System "Voice Pro 10" von linguatec. Das war das mit Abstand vielseitigste, mit fast 200 Euro jedoch auch das teuerste Programm.
Billiger geht es mit "Via Voice Standard" von IBM. Die Software kostet etwa 50 Euro, hat aber erhebliche Schwächen in der Lernfähigkeit: Sie schneidet jedoch immer noch besser ab als das gut drei Mal so teure "Voice Office Premium 10"; das im Test der sechs Programme als einziges nur ein "Befriedigend" bekam. "Man liest über Spracherkennung nicht mehr so viel" weil es funktioniert", glaubt Dorothee Wiegand von der in Hannover erscheinenden Computerzeitschrift "c't". Die Technik" etwa "Dragon Naturally Speaking" von ScanSoft, sei ausgereift, "Spracherkennung ist vor allem Statistik, die Auswertung unendlicher Wortmöglichkeiten. Eigentlich war eher die Hardware das Problem", sagt Wiegand. Da jetzt selbst einfache Heimcomputer schnell und leistungsfähig seien, hätten die Entwickler viel mehr Möglichkeiten."Aber selbst ältere Computer kommen mit den Systemen klar. Sie brauchen nur etwas länger! "Jedes Byte macht die Spracherkennung etwas schneller, ungenauer ist sie sonst aber nicht", bestätigt Kristina Henry von linguatec in München. Auch für die Produkte des Herstellers gelte jedoch, dass "üben und deutlich sprechen wichtiger sind als jede Hardware". Selbst Stimmen von Diktiergeräten würden klar, erkannt, versichert Henry: "Wir wollen einen Schritt weiter gehen und das Diktieren von unterwegs möglich machen." Der Benutzer könnte dann eine Nummer anwählen, etwa im Auto einen Text aufsprechen und ihn zu Hause "getippt" vorfinden. Grundsätzlich passt die Spracherkennungssoftware inzwischen auch auf den privaten Computer. Klar ist aber, dass selbst der bestgesprochene Text nachbearbeitet werden muss. Zudem ist vom Nutzer Geduld gefragt: Ebenso wie sein System lernt, muss der Mensch sich in Aussprache und Geschwindigkeit dem System anpassen. Dann sind die Ergebnisse allerdings beachtlich - und "Sexterminvereinbarung" statt "zwecks Terminvereinbarung" gehört der Vergangenheit an."
- Date
- 3. 5.1997 8:44:22
-
Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008)
0.02
0.017719874 = product of:
0.094505996 = sum of:
0.06843182 = weight(_text_:web in 4184) [ClassicSimilarity], result of:
0.06843182 = score(doc=4184,freq=14.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.6677857 = fieldWeight in 4184, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0546875 = fieldNorm(doc=4184)
0.0111840265 = product of:
0.022368053 = sum of:
0.022368053 = weight(_text_:online in 4184) [ClassicSimilarity], result of:
0.022368053 = score(doc=4184,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.23471867 = fieldWeight in 4184, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.0546875 = fieldNorm(doc=4184)
0.5 = coord(1/2)
0.014890149 = product of:
0.029780298 = sum of:
0.029780298 = weight(_text_:22 in 4184) [ClassicSimilarity], result of:
0.029780298 = score(doc=4184,freq=2.0), product of:
0.10995905 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.031400457 = queryNorm
0.2708308 = fieldWeight in 4184, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=4184)
0.5 = coord(1/2)
0.1875 = coord(3/16)
- Abstract
- Das Medium Internet ist im Wandel, und mit ihm ändern sich seine Publikations- und Rezeptionsbedingungen. Welche Chancen bieten die momentan parallel diskutierten Zukunftsentwürfe von Social Web und Semantic Web? Zur Beantwortung dieser Frage beschäftigt sich der Beitrag mit den Grundlagen beider Modelle unter den Aspekten Anwendungsbezug und Technologie, beleuchtet darüber hinaus jedoch auch deren Unzulänglichkeiten sowie den Mehrwert einer mediengerechten Kombination. Am Beispiel des grammatischen Online-Informationssystems grammis wird eine Strategie zur integrativen Nutzung der jeweiligen Stärken skizziert.
- Date
- 22. 1.2011 10:38:28
- Source
- Kommunikation, Partizipation und Wirkungen im Social Web, Band 1. Hrsg.: A. Zerfaß u.a
- Theme
- Semantic Web
-
Sprachtechnologie, mobile Kommunikation und linguistische Ressourcen : Beiträge zur GLDV Tagung 2005 in Bonn (2005)
0.02
0.017431242 = product of:
0.06972497 = sum of:
0.019199632 = weight(_text_:web in 3578) [ClassicSimilarity], result of:
0.019199632 = score(doc=3578,freq=6.0), product of:
0.10247572 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.031400457 = queryNorm
0.18735787 = fieldWeight in 3578, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0234375 = fieldNorm(doc=3578)
0.03384992 = weight(_text_:benutzer in 3578) [ClassicSimilarity], result of:
0.03384992 = score(doc=3578,freq=2.0), product of:
0.17907447 = queryWeight, product of:
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.031400457 = queryNorm
0.18902707 = fieldWeight in 3578, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.7029257 = idf(docFreq=400, maxDocs=44218)
0.0234375 = fieldNorm(doc=3578)
0.003207399 = weight(_text_:information in 3578) [ClassicSimilarity], result of:
0.003207399 = score(doc=3578,freq=2.0), product of:
0.055122808 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.031400457 = queryNorm
0.058186423 = fieldWeight in 3578, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0234375 = fieldNorm(doc=3578)
0.013468015 = weight(_text_:retrieval in 3578) [ClassicSimilarity], result of:
0.013468015 = score(doc=3578,freq=4.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.1417929 = fieldWeight in 3578, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0234375 = fieldNorm(doc=3578)
0.25 = coord(4/16)
- Abstract
- Die Sprachtechnologie wird mobil. Sprachtechnologische Anwendungen begegnen uns zunehmend außerhalb des Büros oder der eigenen vier Wände. Mit gesprochener Sprache steuern Benutzer ihre Mobiltelefone, fragen Datenbanken ab oder führen Geschäftsvorgänge durch. In diesen Bereichen finden eklektisch sprachwissenschaftliche Modelle Anwendung, vor allem solche, die auf linguistischen Ressourcen - wie Wortnetzen oder Ontologien - trainiert werden müssen, aber auch Modelle der Dialog-Repräsentation und -Struktur wie etwa des Turn Taking. Dieser Tagungsband vereint die Beiträge zum Hauptprogramm der Jahrestagung 2005 der Gesellschaftfür Linguistische Datenverarbeitung (GLDV), zu den Workshops GermaNetHund Turn Taking sowie die Beiträge zum GLDV Preis 2005 für die beste Abschlussarbeit.
- Content
- INHALT: Chris Biemann/Rainer Osswald: Automatische Erweiterung eines semantikbasierten Lexikons durch Bootstrapping auf großen Korpora - Ernesto William De Luca/Andreas Nürnberger: Supporting Mobile Web Search by Ontology-based Categorization - Rüdiger Gleim: HyGraph - Ein Framework zur Extraktion, Repräsentation und Analyse webbasierter Hypertextstrukturen - Felicitas Haas/Bernhard Schröder: Freges Grundgesetze der Arithmetik: Dokumentbaum und Formelwald - Ulrich Held/ Andre Blessing/Bettina Säuberlich/Jürgen Sienel/Horst Rößler/Dieter Kopp: A personalized multimodal news service -Jürgen Hermes/Christoph Benden: Fusion von Annotation und Präprozessierung als Vorschlag zur Behebung des Rohtextproblems - Sonja Hüwel/Britta Wrede/Gerhard Sagerer: Semantisches Parsing mit Frames für robuste multimodale Mensch-Maschine-Kommunikation - Brigitte Krenn/Stefan Evert: Separating the wheat from the chaff- Corpus-driven evaluation of statistical association measures for collocation extraction - Jörn Kreutel: An application-centered Perspective an Multimodal Dialogue Systems - Jonas Kuhn: An Architecture for Prallel Corpusbased Grammar Learning - Thomas Mandl/Rene Schneider/Pia Schnetzler/Christa Womser-Hacker: Evaluierung von Systemen für die Eigennamenerkennung im crosslingualen Information Retrieval - Alexander Mehler/Matthias Dehmer/Rüdiger Gleim: Zur Automatischen Klassifikation von Webgenres - Charlotte Merz/Martin Volk: Requirements for a Parallel Treebank Search Tool - Sally YK. Mok: Multilingual Text Retrieval an the Web: The Case of a Cantonese-Dagaare-English Trilingual e-Lexicon -
Darja Mönke: Ein Parser für natürlichsprachlich formulierte mathematische Beweise - Martin Müller: Ontologien für mathematische Beweistexte - Moritz Neugebauer: The status of functional phonological classification in statistical speech recognition - Uwe Quasthoff: Kookkurrenzanalyse und korpusbasierte Sachgruppenlexikographie - Reinhard Rapp: On the Relationship between Word Frequency and Word Familiarity - Ulrich Schade/Miloslaw Frey/Sebastian Becker: Computerlinguistische Anwendungen zur Verbesserung der Kommunikation zwischen militärischen Einheiten und deren Führungsinformationssystemen - David Schlangen/Thomas Hanneforth/Manfred Stede: Weaving the Semantic Web: Extracting and Representing the Content of Pathology Reports - Thomas Schmidt: Modellbildung und Modellierungsparadigmen in der computergestützten Korpuslinguistik - Sabine Schröder/Martina Ziefle: Semantic transparency of cellular phone menus - Thorsten Trippel/Thierry Declerck/Ulrich Held: Standardisierung von Sprachressourcen: Der aktuelle Stand - Charlotte Wollermann: Evaluation der audiovisuellen Kongruenz bei der multimodalen Sprachsynsthese - Claudia Kunze/Lothar Lemnitzer: Anwendungen des GermaNet II: Einleitung - Claudia Kunze/Lothar Lemnitzer: Die Zukunft der Wortnetze oder die Wortnetze der Zukunft - ein Roadmap-Beitrag -
-
Pritchard-Schoch, T.: Natural language comes of age (1993)
0.02
0.017320696 = product of:
0.09237705 = sum of:
0.012781745 = product of:
0.02556349 = sum of:
0.02556349 = weight(_text_:online in 2570) [ClassicSimilarity], result of:
0.02556349 = score(doc=2570,freq=2.0), product of:
0.09529729 = queryWeight, product of:
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.031400457 = queryNorm
0.2682499 = fieldWeight in 2570, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0349014 = idf(docFreq=5778, maxDocs=44218)
0.0625 = fieldNorm(doc=2570)
0.5 = coord(1/2)
0.035914708 = weight(_text_:retrieval in 2570) [ClassicSimilarity], result of:
0.035914708 = score(doc=2570,freq=4.0), product of:
0.09498371 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.031400457 = queryNorm
0.37811437 = fieldWeight in 2570, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=2570)
0.043680605 = weight(_text_:software in 2570) [ClassicSimilarity], result of:
0.043680605 = score(doc=2570,freq=2.0), product of:
0.124570385 = queryWeight, product of:
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.031400457 = queryNorm
0.35064998 = fieldWeight in 2570, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9671519 = idf(docFreq=2274, maxDocs=44218)
0.0625 = fieldNorm(doc=2570)
0.1875 = coord(3/16)
- Abstract
- Discusses natural languages and the natural language implementations of Westlaw's full-text legal documents, Westlaw Is Natural. Natural language is not aritificial intelligence but a hybrid of linguistics, mathematics and statistics. Provides 3 classes of retrieval models. Explains how Westlaw processes an English query. Assesses WIN. Covers WIN enhancements; the natural language features of Congressional Quarterly's Washington Alert using a document for a query; the personal librarian front end search software and Dowquest from Dow Jones news/retrieval. Conmsiders whether natural language encourages fuzzy thinking and whether Boolean logic will still be needed
- Source
- Online. 17(1993) no.3, S.33-43
