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...
Organizations working in a multilingual environment demand multilingual ontologies. To solve this problem we propose LabelTranslator, a system that automatically localizes ontologi...
One of the unique challenges to Chinese Language Processing is cross-strait named entity recognition. Due to the adoption of different transliteration strategies, foreign name tra...
Petr Simon, Chu-Ren Huang, Shu-Kai Hsieh, Jia-Fei ...
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...