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» Learning Rules to Improve a Machine Translation System
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ACL
2009
14 years 9 months ago
Hidden Markov Tree Model in Dependency-based Machine Translation
We would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly suc...
Zdenek Zabokrtský, Martin Popel
ACL
2003
15 years 1 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
TASLP
2008
142views more  TASLP 2008»
14 years 11 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
ACL
2010
14 years 9 months ago
Cross Lingual Adaptation: An Experiment on Sentiment Classifications
In this paper, we study the problem of using an annotated corpus in English for the same natural language processing task in another language. While various machine translation sy...
Bin Wei, Christopher Pal
ACL
2009
14 years 9 months ago
Where's the Verb? Correcting Machine Translation During Question Answering
When a multi-lingual question-answering (QA) system provides an answer that has been incorrectly translated, it is very likely to be regarded as irrelevant. In this paper, we prop...
Wei-Yun Ma, Kathy McKeown