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» Non-linear Learning for Statistical Machine Translation
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NIPS
2007
15 years 2 months ago
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via...
Bing Zhao, Eric P. Xing
NAACL
2007
15 years 2 months ago
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
Bing Zhao, Nguyen Bach, Ian R. Lane, Stephan Vogel
TSD
2004
Springer
15 years 6 months ago
Handling Multi-word Expressions Without Explicit Linguistic Rules in an MT System
Abstract. Translation of Multi-word expressions (MWEs) is one of the most challenging tasks of a Machine translation (MT) system. In this paper, we present an innovative technique ...
Akshar Bharati, Rajeev Sangal, Dipti Mishra, Srira...
ACL
1998
15 years 2 months ago
Automatic Acquisition of Language Model based on Head-Dependent Relation between Words
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
Seungmi Lee, Key-Sun Choi
IPM
2006
171views more  IPM 2006»
15 years 1 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi