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 …

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 …

Linguists and engineers in Natural Language Processing tend to use electronic corpora
more and more. Most research has long been limited to raw (unannotated) texts or to tagged …

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 …

Lexical Functional Grammar (LFG) plays a vital role in the area of Natural Language
Processing (NLP). LFG is considered as the constraint-based philosophy of grammar. C …

Abstract The goal of Hindi/Urdu treebanking project is to build multi-layered treebanks that
will provide both syntactic and semantic annotations. In the past two decades, dozens of …

Manually annotated corpora are valuable but scarce resources, yet for many annotation
tasks such as treebanking and sequence labeling there exist multiple corpora with different …

Questions are asked and answered every day. Question answering (QA) technology aims to
deliver the same facility online. It goes further than the more familiar search based on …

CCGbank is a version of the Penn Wall Street Journal Treebank (Marcus et al., 1993) in
which the standard trees have been mapped into” normal form” derivations in Combinatory …

Automated conversion has allowed the development of wide-coverage corpora for a variety
of grammar formalisms without the expense of manual annotation. Analysing new …