Search (55 results, page 3 of 3)

  • × theme_ss:"Computerlinguistik"
  • × type_ss:"m"
  1. Alvaro, S.J.: Understanding editorial text : a computer model of argument comprehension (19??) 0.00 
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    Series
    Kluwer international series in engineering and computer science; natural language processing and machine translation
  2. Frederking, R.E.: Integrated natural language dialogue : a computational model (19??) 0.00 
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    Kluwer international series in engineering and computer science; natural language processing and machine translation
  3. Samad, T.: ¬A natural language interface for computer aided design (19??) 0.00 
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    Series
    Kluwer international series in engineering and computer science; natural language processing and machine translation
  4. Kitano, H.: Speech-to-speech translation : a massively parallel memory-based approach (19??) 0.00 
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    Series
    Kluwer international series in engineering and computer science; natural language processing and machine translation
  5. Computational linguistics and intelligent text processing : second international conference; Proceedings. CICLing 2001, Mexico City, Mexiko, 18.-24.2.2001 (2001) 0.00 
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    Series
    Lecture notes in computer science; vol.2004
  6. Zhang, X: Rough set theory based automatic text categorization (2005) 0.00 
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    Abstract
    Der Forschungsbericht "Rough Set Theory Based Automatic Text Categorization and the Handling of Semantic Heterogeneity" von Xueying Zhang ist in Buchform auf Englisch erschienen. Zhang hat in ihrer Arbeit ein Verfahren basierend auf der Rough Set Theory entwickelt, das Beziehungen zwischen Schlagwörtern verschiedener Vokabulare herstellt. Sie war von 2003 bis 2005 Mitarbeiterin des IZ und ist seit Oktober 2005 Associate Professor an der Nanjing University of Science and Technology.
    Footnote
    Nanjing University of Science and Technology, Diss.
  7. Bowker, L.; Ciro, J.B.: Machine translation and global research : towards improved machine translation literacy in the scholarly community (2019) 0.00 
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    Abstract
    In the global research community, English has become the main language of scholarly publishing in many disciplines. At the same time, online machine translation systems have become increasingly easy to access and use. Is this a researcher's match made in heaven, or the road to publication perdition? Here Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. For scholars, they explain how machine translation works, how it is (or could be) used for scholarly communication, and how both native and non-native English-speakers can write in a translation-friendly way in order to harness its potential. Native English speakers can continue to write in English, but expand the global reach of their research by making it easier for their peers around the world to access and understand their works, while non-native English speakers can write in their mother tongues, but leverage machine translation technology to help them produce draft publications in English. For academic librarians, the authors provide a framework for supporting researchers in all disciplines as they grapple with producing translation-friendly texts and using machine translation for scholarly communication - a form of support that will only become more important as campuses become increasingly international and as universities continue to strive to excel on the global stage. Machine Translation and Global Research is a must-read for scientists, researchers, students, and librarians eager to maximize the global reach and impact of any form of scholarly work.
  8. Thomas, I.S.; Wang, J.; GPT-3: Was euch zu Menschen macht : Antworten einer künstlichen Intelligenz auf die großen Fragen des Lebens (2022) 0.00 
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    Date
    7. 1.2023 18:41:29
  9. Pinker, S.: Wörter und Regeln : Die Natur der Sprache (2000) 0.00 
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    Date
    19. 7.2002 14:22:31
  10. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.00 
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    Date
    14. 4.2007 10:04:22
  11. Computerlinguistik und Sprachtechnologie : Eine Einführung (2010) 0.00 
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    LCSH
    Computer science
    Computer science
    Subject
    Computer science
    Computer science
  12. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.00 
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    Date
    29. 3.2009 11:11:45
  13. Grefenstette, G.: Explorations in automatic thesaurus discovery (1994) 0.00 
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    Series
    Kluwer international series in engineering and computer science; 278. Natural language processing and machine translation
  14. Sikkel, K.: Parsing schemata : a framework for specification and analysis of parsing algorithms (1996) 0.00 
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    Abstract
    Parsing, the syntactic analysis of language, has been studied extensively in computer science and computational linguistics. Computer programs and natural languages share an underlying theory of formal languages and require efficient parsing algorithms. This introductions reviews the thory of parsing from a novel perspective, it provides a formalism to capture the essential traits of a parser that abstracts from the fine detail and allows a uniform description and comparison of a variety of parsers, including Earley, Tomita, LR, Left-Corner, and Head-Corner parsers. The emphasis is on context-free phrase structure grammar and how these parsers can be extended to unification formalisms. The book combines mathematical rigor with high readability and is suitable as a graduate course text
  15. Semantic role universals and argument linking : theoretical, typological, and psycholinguistic perspectives (2006) 0.00 
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    Abstract
    The concept of semantic roles has been central to linguistic theory for many decades. More specifically, the assumption of such representations as mediators in the correspondence between a linguistic form and its associated meaning has helped to address a number of critical issues related to grammatical phenomena. Furthermore, in addition to featuring in all major theories of grammar, semantic (or 'thematic') roles have been referred to extensively within a wide range of other linguistic subdisciplines, including language typology and psycho-/neurolinguistics. This volume brings together insights from these different perspectives and thereby, for the first time, seeks to build upon the obvious potential for cross-fertilisation between hitherto autonomous approaches to a common theme. To this end, a view on semantic roles is adopted that goes beyond the mere assumption of generalised roles, but also focuses on their hierarchical organisation. The book is thus centred around the interdisciplinary examination of how these hierarchical dependencies subserve argument linking - both in terms of linguistic theory and with respect to real-time language processing - and how they interact with other information types in this process. Furthermore, the contributions examine the interaction between the role hierarchy and the conceptual content of (generalised) semantic roles and investigate their cross-linguistic applicability and psychological reality, as well as their explanatory potential in accounting for phenomena in the domain of language disorders. In bridging the gap between different disciplines, the book provides a valuable overview of current thought on semantic roles and argument linking, and may further serve as a point of departure for future interdisciplinary research in this area. As such, it will be of interest to scientists and advanced students in all domains of linguistics and cognitive science.

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