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» Self-Supervised Chinese Word Segmentation
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LREC
2010
195views Education» more  LREC 2010»
15 years 1 months ago
Adapting Chinese Word Segmentation for Machine Translation Based on Short Units
In Chinese texts, words composed of single or multiple characters are not separated by spaces, unlike most western languages. Therefore Chinese word segmentation is considered an ...
Yiou Wang, Kiyotaka Uchimoto, Jun'ichi Kazama, Can...
EMNLP
2004
15 years 1 months ago
Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?
Chinese part-of-speech (POS) tagging assigns one POS tag to each word in a Chinese sentence. However, since words are not demarcated in a Chinese sentence, Chinese POS tagging req...
Hwee Tou Ng, Jin Kiat Low
EMNLP
2009
14 years 9 months ago
Using Morphological and Syntactic Structures for Chinese Opinion Analysis
This paper employs morphological structures and relations between sentence segments for opinion analysis on words and sentences. Chinese words are classified into eight morphologi...
Lun-Wei Ku, Ting-Hao Huang, Hsin-Hsi Chen
COLING
2008
15 years 1 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...
ACL
1994
15 years 1 months ago
A Stochastic Finite-State Word-Segmentation Algorithm for Chinese
We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the me...
Richard Sproat, Chilin Shih, William Gale, Nancy C...