Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Oxford Handbook of Corpus Phonology

Edited by Jacques Durand, Ulrike Gut, and Gjert Kristoffersen

Offers the first detailed examination of corpus phonology and serves as a practical guide for researchers interested in compiling or using phonological corpora


New from Cambridge University Press!

ad

The Languages of the Jews: A Sociolinguistic History

By Bernard Spolsky

A vivid commentary on Jewish survival and Jewish speech communities that will be enjoyed by the general reader, and is essential reading for students and researchers interested in the study of Middle Eastern languages, Jewish studies, and sociolinguistics.


New from Brill!

ad

Indo-European Linguistics

New Open Access journal on Indo-European Linguistics is now available!


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


Back
Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page