This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed ...
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
In order to search within corpora written in two or more languages, the simplest and most effective approach is to translate the submitted request into the required language(s). To...
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...
This report describes the English-Chinese crosslanguage retrieval experiments at Berkeley for TREC-9 Cross-Language Information Retrieval track. We present a simple and effective ...