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EMNLP
2007
13 years 9 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
EMNLP
2010
13 years 5 months ago
Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
Baobao Chang, Dongxu Han
EMNLP
2010
13 years 5 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
ISMIS
2005
Springer
14 years 1 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
ICASSP
2010
IEEE
13 years 7 months ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...