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» Revisiting Pivot Language Approach for Machine Translation
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ACL
2007
14 years 11 months ago
Forest Rescoring: Faster Decoding with Integrated Language Models
Efficient decoding has been a fundamental problem in machine translation, especially with an integrated language model which is essential for achieving good translation quality. ...
Liang Huang, David Chiang
EMNLP
2011
13 years 9 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
LREC
2008
155views Education» more  LREC 2008»
14 years 11 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
ACL
2010
14 years 7 months ago
Hindi-to-Urdu Machine Translation through Transliteration
We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical machine translation. We propose two probabilistic models, based on conditional and joint pr...
Nadir Durrani, Hassan Sajjad, Alexander Fraser, He...
LREC
2010
195views Education» more  LREC 2010»
14 years 11 months ago
Adapting Chinese Word Segmentation for Machine Translation Based on Short Units
In Chinese texts, words composed of single or multiple characters are not separated by spaces, unlike most western languages. Therefore Chinese word segmentation is considered an ...
Yiou Wang, Kiyotaka Uchimoto, Jun'ichi Kazama, Can...