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» Training Global Linear Models for Chinese Word Segmentation
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AI
2009
Springer
13 years 11 months ago
Training Global Linear Models for Chinese Word Segmentation
This paper examines how one can obtain state of the art Chinese word segmentation using global linear models. We provide experimental comparisons that give a detailed road-map for ...
Dong Song, Anoop Sarkar
EMNLP
2010
13 years 2 months ago
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model
We show that the standard beam-search algorithm can be used as an efficient decoder for the global linear model of Zhang and Clark (2008) for joint word segmentation and POS-taggi...
Yue Zhang 0004, Stephen Clark
ACL
2004
13 years 6 months ago
Adaptive Chinese Word Segmentation
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao ...
ACL
2012
11 years 7 months ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li
ACL
2009
13 years 2 months ago
An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Ka...