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» Using Word Support Model to Improve Chinese Input System
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132
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ACL
2012
13 years 5 months ago
Unsupervized Word Segmentation: the Case for Mandarin Chinese
In this paper, we present an unsupervized segmentation system tested on Mandarin Chinese. Following Harris's Hypothesis in Kempe (1999) and Tanaka-Ishii's (2005) reformu...
Pierre Magistry, Benoît Sagot
144
Voted
FLAIRS
2007
15 years 5 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
93
Voted
UIST
1998
ACM
15 years 6 months ago
Cirrin: A Word-Level Unistroke Keyboard for Pen Input
We present a new system, called Cirrin, for pen input of ASCII characters using word-level unistrokes. Our system addresses the tradeoff between speed and accuracy of penbased tex...
Jennifer Mankoff, Gregory D. Abowd
114
Voted
TASLP
2008
142views more  TASLP 2008»
15 years 2 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne
133
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ACL
2007
15 years 4 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...