Search (66 results, page 1 of 4)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.18 
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    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
  2. Paolillo, J.C.: Linguistics and the information sciences (2009) 0.09 
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    Abstract
    Linguistics is the scientific study of language which emphasizes language spoken in everyday settings by human beings. It has a long history of interdisciplinarity, both internally and in contribution to other fields, including information science. A linguistic perspective is beneficial in many ways in information science, since it examines the relationship between the forms of meaningful expressions and their social, cognitive, institutional, and communicative context, these being two perspectives on information that are actively studied, to different degrees, in information science. Examples of issues relevant to information science are presented for which the approach taken under a linguistic perspective is illustrated.
    Date
    27. 8.2011 14:22:33
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.08 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Warner, A.J.: Natural language processing (1987) 0.03 
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  5. Rahmstorf, G.: Compositional semantics and concept representation (1991) 0.03 
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    Abstract
    Concept systems are not only used in the sciences, but also in secondary supporting fields, e.g. in libraries, in documentation, in terminology and increasingly also in knowledge representation. It is suggested that the development of concept systems be based on semantic analysis. Methodical steps are described. The principle of morpho-syntactic composition in semantics will serve as a theoretical basis for the suggested method. The implications and limitations of this principle will be demonstrated
  6. Ghenima, M.: ¬A system of 'computer-aided diacritisation' using a lexical database of Arabic language (1998) 0.03 
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    Abstract
    The aim of research in Natural language processing (NLP) area, is to design and develop systems that process, understand, and interpret natural language. It employs knowledge from various fields like artificial intelligence (in knowledge representation, reasoning), formal language theory (in language analysis, parsing), and theoretical and computational linguistics (in models of language structures)
  7. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.03 
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  8. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.03 
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    Date
    8.10.2000 11:52:22
  9. Somers, H.: Example-based machine translation : Review article (1999) 0.03 
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    Date
    31. 7.1996 9:22:19
  10. New tools for human translators (1997) 0.03 
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    Date
    31. 7.1996 9:22:19
  11. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.03 
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    Date
    28. 2.1999 10:48:22
  12. ¬Der Student aus dem Computer (2023) 0.03 
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    Date
    27. 1.2023 16:22:55
  13. Yannakoudakis, E.J.; Daraki, J.J.: Lexical clustering and retrieval of bibliographic records (1994) 0.03 
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    Abstract
    Presents a new system that enables users to retrieve catalogue entries on the basis of theri lexical similarities and to cluster records in a dynamic fashion. Describes the information retrieval system developed by the Department of Informatics, Athens University of Economics and Business, Greece. The system also offers the means for cyclic retrieval of records from each cluster while allowing the user to define the field to be used in each case. The approach is based on logical keys which are derived from pertinent bibliographic fields and are used for all clustering and information retrieval functions
  14. Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999) 0.03 
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    Date
    15. 3.2000 10:22:37
  15. Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009) 0.03 
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    Date
    1. 3.2013 14:56:22
  16. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.03 
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    Source
    c't. 2000, H.22, S.230-231
  17. Atlam, E.-S.; Morita, K.; Fuketa, M.; Aoe, J.-i.: ¬A new method for selecting English field association terms of compound words and its knowledge representation (2002) 0.03 
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    Abstract
    This paper presents a strategy for building a morphological machine dictionary of English that infers meaning of derivations by considering morphological affixes and their semantic classification. Derivations are grouped into a frame that is accessible to semantic stem and knowledge base. This paper also proposes an efficient method for selecting compound Field Association (FA) terms from a large pool of single FA terms for some specialized fields. For single FA terms, five levels of association are defined and two ranks are defined, based on stability and inheritance. About 85% of redundant compound FA terms can be removed effectively by using levels and ranks proposed in this paper. Recall averages of 60-80% are achieved, depending on the type of text. The proposed methods are applied to 22,000 relationships between verbs and nouns extracted from the large tagged corpus.
  18. Chowdhury, G.G.: Natural language processing (2002) 0.03 
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    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.
  19. Hutchins, J.: From first conception to first demonstration : the nascent years of machine translation, 1947-1954. A chronology (1997) 0.02 
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    Date
    31. 7.1996 9:22:19
  20. Kuhlmann, U.; Monnerjahn, P.: Sprache auf Knopfdruck : Sieben automatische Übersetzungsprogramme im Test (2000) 0.02 
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    Source
    c't. 2000, H.22, S.220-229

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