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» Cognates Can Improve Statistical Translation Models
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CSL
2004
Springer
13 years 8 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
COLING
1996
13 years 9 months ago
Aligning More Words with High Precision for Small Bilingual Corpora
In this paper, we propose an algorithm for identifying each word with its translations in a sentence and translation pair. Previously proposed methods require enormous amounts of ...
Sur-Jin Ker, Jason J. S. Chang
ACL
2007
13 years 10 months ago
Forest-to-String Statistical Translation Rules
In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forestto-string rule is capable of capturing nonsyntactic ...
Yang Liu, Yun Huang, Qun Liu, Shouxun Lin
EMNLP
2009
13 years 6 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...
ACL
2009
13 years 6 months ago
Handling phrase reorderings for machine translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...