ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.
Author(s): H. Feldweg (auth.), Susan Armstrong, Kenneth Church, Pierre Isabelle, Sandra Manzi, Evelyne Tzoukermann, David Yarowsky (eds.)
Series: Text, Speech and Language Technology 11
Edition: 1
Publisher: Springer Netherlands
Year: 1999
Language: English
Pages: 305
Tags: Computational Linguistics; Artificial Intelligence (incl. Robotics); Electrical Engineering
Front Matter....Pages i-xvii
Implementation and Evaluation of a German HMM for POS Disambiguation....Pages 1-12
Improvements in Part-of-Speech Tagging with an Application to German....Pages 13-25
Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging....Pages 27-42
Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning....Pages 43-65
Example-Based Sense Tagging of Running Chinese Text....Pages 67-75
Disambiguating Noun Groupings with Respect to WordNet Senses....Pages 77-98
A Comparison of Corpus-Based Techniques for Restoring Accents in Spanish and French Text....Pages 99-120
Beyond Word N -Grams....Pages 121-136
Statistical Augmentation of a Chinese Machine-Readable Dictionary....Pages 137-155
Text Chunking Using Transformation-Based Learning....Pages 157-176
Prepositional Phrase Attachment Through a Backed-off Model....Pages 177-189
On the Unsupervised Induction of Phrase-Structure Grammars....Pages 191-208
Robust Bilingual Word Alignment for Machine Aided Translation....Pages 209-224
Iterative Alignment of Syntactic Structures for a Bilingual Corpus....Pages 225-234
Trainable Coarse Bilingual Grammars for Parallel Text Bracketing....Pages 235-252
Comparative Discourse Analysis of Parallel Texts....Pages 253-268
Comparing the Retrieval Performance of English and Japanese Text Databases....Pages 269-282
Inverse Document Frequency (IDF): A Measure of Deviations from Poisson....Pages 283-295
Back Matter....Pages 297-305
