Languages, in all their forms, are the more efficient and natural means for people to
communicate. Enormous quantities of information are produced, distributed and consumed …

Natural language parsing with data-driven dependency-based frameworks has received an
increasing amount of attention in recent years, as observed in the shared tasks hosted by …

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 …

We assume that the tokenization of a sentence is fixed and known at parsing time. That is to
say that dependency parsers will always operate on a pre-tokenized input and are not …

Syntactic simplification is the process of reducing the grammatical complexity of a text, while
retaining its information content and meaning. The aim of syntactic simplification is to make …

This paper describes a new statistical parser which is based on probabilities of
dependencies between head-words in the parse tree. Standard bigram probability …

from any type of computer printer. Page 1 INFORMATION TO USERS This manuscript has
been reproduced from the microfilm master. UMI films the text directly from the original or copy …

Aphasia is a disability of language processing often suffered by people as a result of a
stroke or head injury. In order to assist aphasic readers we are developing a system which …

We describe an extension of Earley's parser for stochastic context-free grammars that
computes the following quantities given a stochastic context-free grammar and an input …