Inductive Dependency Parsing (Text, Speech and Language Technology) - Info and Reading Options
By Joakim Nivre
“Inductive Dependency Parsing (Text, Speech and Language Technology)” Metadata:
- Title: ➤ Inductive Dependency Parsing (Text, Speech and Language Technology)
- Author: Joakim Nivre
“Inductive Dependency Parsing (Text, Speech and Language Technology)” Subjects and Themes:
- Subjects: ➤ Comparative and general Grammar - Linguistics - Computational linguistics - Translators (Computer programs) - Information networks - Artificial intelligence - Syntax - Parsing (Computer grammar) - Dependency grammar - Parsing - Natural language processing (computer science) - Information systems - Linguistics (general) - Artificial Intelligence (incl. Robotics) - Language Translation and Linguistics - Computer Appl. in Arts and Humanities
Edition Identifiers:
- The Open Library ID: OL4045220W
AI-generated Review of “Inductive Dependency Parsing (Text, Speech and Language Technology)”:
"Inductive Dependency Parsing (Text, Speech and Language Technology)" Description:
The Open Library:
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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