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Words in Time and Place: Exploring Language Through the Historical Thesaurus of the Oxford English Dictionary

By David Crystal

Offers a unique view of the English language and its development, and includes witty commentary and anecdotes along the way.


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Thesaurus of English Words and Phrases

By Peter Mark Roget

This book "supplies a vocabulary of English words and idiomatic phrases 'arranged … according to the ideas which they express'. The thesaurus, continually expanded and updated, has always remained in print, but this reissued first edition shows the impressive breadth of Roget's own knowledge and interests."


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The Brill Dictionary of Ancient Greek

By Franco Montanari

Coming soon: The Brill Dictionary of Ancient Greek by Franco Montanari is the most comprehensive dictionary for Ancient Greek to English for the 21st Century. Order your copy now!


Academic Paper


Title: An Integrated Approach to Chinese Word Segmentation
Author: Guohong Fu
Email: click here to access email
Institution: Heilongjiang University
Linguistic Field: Computational Linguistics
Abstract: This paper presents an integrated approach to Chinese word segmentation. In this work, known word segmentation and unknown word identification are taken as one integrated process instead of two separate tasks. Furthermore, both known and unknown word candidates are scored equally with a hybrid model, in which three types of features are statistically computed and incorporated, including contextual information (viz. modified word bigram models), affinity relations between the components of words (viz. inside and outside word-juncture models), and the internal word-formation power of components in a word (viz. the word-formation patterns). To enhance the precision and avoid the problem of combination explosion in the construction of word candidates, in particular the unknown word candidates, a filter algorithm is used to block some ineligible unknown word candidates. In this way, ambiguities and unknown words can be resolved effectively. The results of our experiment on the Peking University corpus show that the proposed approach outperforms some other methods.
Type: Individual Paper
Status: In Progress


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