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» Statistical-Based Approach to Word Segmentation
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NLPRS
2001
Springer
13 years 10 months ago
A Hierarchical EM Approach to Word Segmentation
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
Fuchun Peng, Dale Schuurmans
ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
13 years 11 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung
ACL
2012
11 years 8 months ago
Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
We propose the first joint model for word segmentation, POS tagging, and dependency parsing for Chinese. Based on an extension of the incremental joint model for POS tagging and ...
Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, Jun-ic...
ACL
2004
13 years 7 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 ...
ICDAR
2007
IEEE
14 years 14 days ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...