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Titlebook: Understanding Language; Man or Machine John A. Moyne Book 1985 Springer Science+Business Media New York 1985 Syntax.algorithms.artificial i

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發(fā)表于 2025-3-21 16:42:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Understanding Language
副標(biāo)題Man or Machine
編輯John A. Moyne
視頻videohttp://file.papertrans.cn/942/941517/941517.mp4
叢書(shū)名稱Environment & Policy
圖書(shū)封面Titlebook: Understanding Language; Man or Machine John A. Moyne Book 1985 Springer Science+Business Media New York 1985 Syntax.algorithms.artificial i
描述This textbook is intended for graduate students in computer science and linguistics who are interested in developing expertise in natural language processing (NLP) and in those aspects of artificial intelligence which are concerned with computer models oflanguage comprehension. The text is somewhat different from a number of other excellent textbooks in that its foci are more on the linguistic and psycho linguistic prerequisites and on foundational issues concerning human linguistic behavior than on the description of the extant models and algorithms. The goal is to make the student, undertaking the enormous task of developing computer models for NLP, well aware of the major diffi- culties and unsolved problems, so that he or she will not begin the task (as it has often been done) with overoptimistic hopes or claims about the generalizability of models, when such hopes and claims are incon- sistent either with some aspects of the formal theory or with known facts about human cognitive behavior. Thus, I try to enumerate and explain the variety of cognitive, linguistic, and pragmatic data which must be understood and formalized before they can be incorporated into a computer model.
出版日期Book 1985
關(guān)鍵詞Syntax; algorithms; artificial intelligence; automata; computer; computer science; formal language; languag
版次1
doihttps://doi.org/10.1007/978-1-4613-2483-6
isbn_softcover978-1-4612-9505-1
isbn_ebook978-1-4613-2483-6Series ISSN 1383-5130 Series E-ISSN 2215-0110
issn_series 1383-5130
copyrightSpringer Science+Business Media New York 1985
The information of publication is updating

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Language Comprehensionanguage perception and draw some conclusions concerning the activity of building computer models for language comprehension, with obvious implications for information science (e.g., communication with databases) and for artificial intelligence.
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發(fā)表于 2025-3-22 01:06:26 | 只看該作者
Formal Languages and Automatahich is adequate for our purposes. The literature in the field is, however, extensive and the interested reader can gain a much deeper understanding of the topics discussed in this survey by studying some of the references cited at the end of this chapter, particularly Hopcroft and Ullman (1979) and
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Grammars and Parsing Strategiesnd the most profound impact on all aspects of studies on human language processing in the last several decades. Many of the divergent and competing theories extant today started as offshoots or variants of the TG theory although it is sometimes hard to see the connection now. It is for these reasons
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Semanticses about the levels of interaction between semantics and lexical accessing as well as all other aspects of language understanding. In this chapter we will give a survey of the various theories and positions on semantics for natural languages.
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