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- (Mitkov, 2003) ⇒ Ruslan Mitkov. (2003). “The Oxford Handbook of Computational Linguistics.” In: Oxford University Press. ISBN:019927634X
- Thirty-eight chapters, comissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics.
- Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines.
- Part II describes current tasks, techniques, and tools in Natural Language Processing and aims to meet the needs of post-doctoral workers and others embarking on computational language research.
- Part III surveys current applications.
Part I: Fundamentals
- 1. Phonology, Steven Bird.
- 2. Morphology, Harald Trost
- 3. Computational Lexicography, Patrick Hanks.
- 4. Syntax, Ronald M. Kaplan
- 5. Semantics, Shalom Lappin
- 6. Discourse, Allan Ramsay
- 7. Pragmatics and Dialogue, Geoffrey N. Leech and Martin Weisser
- 8. Formal Grammars and Languages, Carlos Martin-Vide
- 9. Complexity, Bob Carpenter
Part II: Processes, Methods, and Resources
- 10. (Mikheev, 2003) ⇒ Andrei Mikheev. (2003). “Text Segmentation.” In: (Mitkov, 2003).
- 11. Part-of-Speech Tagging, Atro Voutilainen
- 12. Parsing, John Carroll
- 13. (Stevenson & Wilks, 2003) ⇒ Mark Stevenson, and Yorick Wilks. (2003). “Word-Sense Disambiguation.” In: (Mitkov, 2003).
- 14. Anaphora Resolution, Ruslan Mitkov.
- 15. Natural Language Generation, John Bateman and Michael Zock
- 16. Speech Recognition, Lori Lamel and Jean-Luc Gauvain
- 17. Text-to-Speech Synthesis, Thierry Dutoit and Yannis Stylianou
- 18. Finite-State Technology, Lauri Karttunen
- 19. Statistical Methods, Christer Samuelsson
- 20. Machine Learning, Raymond Mooney.
- 21. Lexical Knowledge Acquisition, Yuji Matsumoto
- 22. Evaluation, Lynette Hirschman and Inderjeet Mani.
- 23. Sublanguages and Controlled Languages, Richard I. Kittredge
- 24. Corpora, Tony McEnery
- 25. Ontologies, Piek Vossen
- 26. Tree-Adjoining Grammars, Aravind K. Joshi
Part III: Applications
- 27. Machine Translation: General Overview, John Hutchins
- 28. Machine Translation: Latest Developments, Harold Somers
- 29. Information Retrieval, Evelyne Tzoukermann, Judith L. Klavans and Tomek Strzalkowski
- 30. (Grishman, 2003) ⇒ Ralph Grishman. (2003). “ iInformation Extraction.
- 31. Question Answering, Sanda M. Harabagiu and Dan Moldovan.
- 32. Text Summarization, Eduard Hovy.
- 33. (Jacquemin & Bourigault, 2003) ⇒ Christian Jacquemin and Didier Bourigault. (2003). “Term Extraction and Automatic Indexing. In: (Mitkov, 2003).
- 34. Text Data Mining, Marti A. Hearst.
- 35. Natural Language Interaction, Ion Androutsopoulos and Maria Aretoulaki
- 36. Natural Language in Multimodal and Multimedia Systems, Elisabeth Andre
- 37. Natural Language Processing in Computer-Aided Language Learning, John Nerbonne
- 38. Multilingual On-Line Natural Language Processing, Gregory Grefenstette and Frederique Segond
- base form: The part of a word that carries its meaning; it severs as the bases for all inflectional forms of the word.
- computational terminology: The computer-assisted acquisition, maintenance, or exploitation of terminological data.
- inflection: (1) The morphological process of adding inflections to base forms of words, as required by syntactic context; (ii) a linguistic element that is added to or alters the base form of a word, as require by particular syntactic contexts. Inflections
- lemmatization: The process of grouping the inflected forms of a word together under a base form, or of recovering the base form from an inflected form, e.g. grouping the inflected forms 'run','runs','running','ran' under the base form 'run'.
- lexical entry: A word or phrase in a lexicon, used as a peg on which to hang information about part of speech, subcategorization, meaning, pronunciation, links to related terms, and/or any of various other kinds of information.
- lexical semantic network: A set of terms defined solely in terms of relations to each other.
- lexical semantic relation: Semantic relations between lexicalizations in a language.
- lexical transducer: A finite-state transducer for morphological analysis and generation. It maps inflected forms into the corresponding lexical forms (=lemmas), and vice versa.
- lexical variability: The property of words according to which a single word may be used with basically the same meaning in many difference contexts, with different implications. For example, the verb file in filing a story, filing a lawsuit, and filing a flight plan has basically the same meaning ('place on record') but different implications.
- lexicalization: The process of generating an appropriate lexical item for given semantic content - typically a phase of the automatic text generation process.
- lexicography: The compilation of an inventory of the lexicon of a language, typically including a statement about some or all of the following features with record to each lexical entry: orthography, pronunciation, inflected forms, word class (part of speech), meaning(s) or translations, usage, phraseology, and history or origin.
- term: A lexical unit, typically one validated for entry in an application-oriented terminological resource describing the vocabulary of a specialized subject field.
- term acquisition: Automatic discovery of previously unrecognized terms in corpora.
- term frequency (tf): A measurement of the frequency of a word or term within a particular document. Term frequency reflects how well that term describes the document contents.
- term recognition: Automatic recognition of term and variant occurrences in corpora.
- term spotting: Extracting of occurrences of terms or variants from text documents.
- terminology management: The computer-based process of creating, maintaining, and searching multilingual databases of terminology.
- word-sense disambiguation: The process of identifying the meanings of words in context.
- word-token: An occurrence in text of a word from a language vocabulary. Compare word-type.
- word-type: A word in a language vocabulary, as opposed to its specific occurrence in text. Compare word-token.
|2003 TheOxfordHandbookOfCompLing||Ruslan Mitkov||The Oxford Handbook of Computational Linguistics||Oxford University Press||http://books.google.com/books?id=OaClhre-vW4C||2003|