Advances in Probabilistic and Other Parsing Technologies (Text, Speech, and Language Technology, V 16)

個数：

Advances in Probabilistic and Other Parsing Technologies (Text, Speech, and Language Technology, V 16)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 267 p.
  • 言語 ENG
  • 商品コード 9780792366164
  • DDC分類 006.35

基本説明

Gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice.

Full Description

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity.
In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity.
The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

Contents

1 New Parsing Technologies.- 2 Encoding Frequency Information in Lexicalized Grammars.- 3 Bilexical Grammars and Their Cubic-Time Parsing Algorithms.- 4 Probabilistic Feature Grammars.- 5 Probabilistic GLR Parsing.- 6 Probabilistic Parsing Using Left Corner Language Models.- 7 A New Parsing Method Using A Global Association Table.- 8 Towards a Reduced Commitment, D-Theory Style TAG Parser.- 9 Probabilistic Parse Selection Based on Semantic Co-occurrences.- 10 Let's Parsetalk — Message-Passing Protocols for Object-Oriented Parsing.- 11 Performance Evaluation of Supertagging for Partial Parsing.- 12 Regular Approximation of CFLs: A Grammatical View.- 13 Parsing By Successive Approximation.