<図書>
The acquisition of syntactic knowledge
責任表示 | Robert C. Berwick |
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シリーズ | The MIT Press series in artificial intelligence |
データ種別 | 図書 |
出版情報 | Cambridge, Mass. : MIT Press , c1985 |
本文言語 | 英語 |
大きさ | xii, 368 p. ; 24 cm |
概要 | This landmark work in computational linguistics is of great importance both theoretically and practically because it shows that much of English grammar can be learned by a simple program. The Acquisi...ion of Syntactic Knowledge investigates the central questions of human and machine cognition: How do people learn language? How can we get a machine to learn language? It first presents an explicit computational model of language acquisition which can actually learn rules of English syntax given a sequence of grammatical, but otherwise unprepared, sentences. It shows that natural languages are designed to be easily learned and easily processed-an exciting breakthrough from the point of view of artificial intelligence and the design of expert systems because it shows how extensive knowledge might be acquired automatically, without outside intervention. Computationally, the book demonstrates how constraints that may be reasonably assumed to aid sentence processing also aid language acquisition. Chapters in the book's second part apply computational methods to the general problem of developmental growth, particularly the thorny problem of the interaction between innate genetic endowment and environmental input, with the intent of uncovering the constraints on the acquisition of syntactic knowledge. A number of "mini-theories" of learning are incorporated in this study of syntax with results that should appeal to a wide range of scholarly interests. These include how lexical categories, phonological rule systems, and phrase structure rules are learned; the role of semantic-syntactic interaction in language acquisition; how a "parameter setting" model may be formalized as a learning procedure; how multiple constraints (from syntax, thematic knowledge, or phrase structure) interact to aid acquisition; how transformational-type rules may be learned; and, the role of lexical ambiguity in language acquisition. Robert Berwick is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. The Acquisition of Syntactic Knowledge is sixteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady. 続きを見る |
所蔵情報
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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理系図 自動書庫 | //6053 | 1985 |
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061232004032023 |
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書誌詳細
一般注記 | Includes index |
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著者標目 | *Berwick, Robert C. |
件 名 | LCSH:Artificial intelligence LCSH:Linguistics -- Data processing 全ての件名で検索 LCSH:Language acquisition LCSH:Learning -- Mathematical models 全ての件名で検索 NDLSH:人工頭脳 NDLSH:データ処理 -- 言語学 全ての件名で検索 NDLSH:言語心理学 |
分 類 | LCC:Q335 DC19:401.9 NDC8:007.1 NDC8:801.04 |
書誌ID | 1000969809 |
ISBN | 0262022265 |
NCID | BA0003935X |
巻冊次 | ISBN:0262022265 |
登録日 | 2009.09.16 |
更新日 | 2009.09.16 |