The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

This article describes three statistical models for natural language parsing. The models
extend methods from probabilistic context-free grammars to lexicalized grammars, leading to …

With growing interest in Chinese Language Processing, numerous NLP tools (eg, word
segmenters, part-of-speech taggers, and parsers) for Chinese have been developed all over …

Previously we authored “Text Mining: Predictive Methods for Analyzing Unstructured
Information.” That book was geared mostly to professional practitioners, but was adaptable …

This article presents an algorithm for translating the Penn Treebank into a corpus of
Combinatory Categorial Grammar (CCG) derivations augmented with local and long-range …

This article describes a number of log-linear parsing models for an automatically extracted
lexicalized grammar. The models are “full” parsing models in the sense that probabilities are …

Abstract The term Morphologically Rich Languages (MRLs) refers to languages in which
significant information concerning syntactic units and relations is expressed at word-level …

This dissertation is concerned with the creation of training data and the development of
probability models for statistical parsing of English with Combinatory Categorial Grammar …

Recently, neural network approaches for parsing have largely automated the combination of
individual features, but still rely on (often a larger number of) atomic features created from …

Among the many feats performed by adult human language users, their capacity to assign a
syntactic structure to an input sentence is a rather basic one. Today's linguistic theories …