Inductive Dependency Parsing [electronic resource] / by Joakim Nivre.
Tipo de material:
TextoSeries Text, Speech and Language Technology ; 34Editor: Dordrecht : Springer Netherlands, 2006Descripción: XI, 216 p. online resourceTipo de contenido: - text
- computer
- online resource
- 9781402048890
- 99781402048890
- LINGUISTICS
- ARTIFICIAL INTELLIGENCE
- TRANSLATORS (COMPUTER PROGRAMS)
- INFORMATION SYSTEMS
- COMPUTATIONAL LINGUISTICS
- GRAMMAR, COMPARATIVE AND GENERAL -- SYNTAX
- LINGUISTICS
- LINGUISTICS (GENERAL)
- ARTIFICIAL INTELLIGENCE (INCL. ROBOTICS)
- LANGUAGE TRANSLATION AND LINGUISTICS
- COMPUTER APPL. IN ARTS AND HUMANITIES
- COMPUTATIONAL LINGUISTICS
- SYNTAX
- 410 23
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Libros electrónicos
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CICY Libro electrónico | Libro electrónico | 410 (Browse shelf(Opens below)) | Available |
Natural Language Parsing -- Dependency Parsing -- Inductive Dependency Parsing -- Treebank Parsing -- Conclusion.
This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action. The book includes a theoretical analysis of all central models and algorithms, as well as a thorough empirical evaluation of memory-based dependency parsing, using data from Swedish and English. Offering the reader a one-stop reference to dependency-based parsing of natural language, it is intended for researchers and system developers in the language technology field, and is also suited for graduate or advanced undergraduate education.
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