Natural Language Processing Using Very Large Corpora

Häftad, Engelska, 2010

Del i serien Text, Speech and Language Technology

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Beskrivning

This book is intended for researchers who want to keep abreast of current developments in corpus-based natural language processing. It captures the essence of a series of highly successful workshops organized over the last few years. The papers cover a range of current research topics in this field including part-of-speech tagging, word sense disambiguation, parsing on real-life texts, working with parallel corpora and improved techniques for document processing.

Produktinformation

Utgivningsdatum:2010-12-15
Mått:155 x 235 x 18 mm
Vikt:499 g
Format:Häftad
Språk:Engelska
Serie:Text, Speech and Language Technology
Antal sidor:305
Upplaga:1999
Förlag:Springer
ISBN:9789048153497

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Innehållsförteckning

Implementation and Evaluation of a German HMM for POS Disambiguation.- Improvements in Part-of-Speech Tagging with an Application To German.- Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging.- Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning.- Example-Based Sense Tagging of Running Chinese Text.- Disambiguating Noun Groupings with Respect to WordNet Senses.- A Comparison of Corpus-based Techniques for Restoring Accents in Spanish and French Text.- Beyond Word N-Grams.- Statistical Augmentation of a Chinese Machine-Readable Dictionary.- Text Chunking Using Transformation-based Learning.- Prepositional Phrase Attachment through a Backed-off Model.- On the Unsupervised Induction of Phrase-Structure Grammars.- Robust Bilingual Word Alignment for Machine Aided Translation.- Iterative Alignment of Syntactic Structures for a Bilingual Corpus.- Trainable Coarse Bilingual Grammars for Parallel Text Bracketing.- Comparative Discourse Analysis of Parallel Texts.- Comparing the Retrieval Performance of English and Japanese Text Databases.- Inverse Document Frequency (IDF): A Measure of Deviations from Poisson.- List of Authors.