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This paper describes improved HMM-based word level alignment models for statistical machine translation. We present a method for using part of speech tag information to improve alignment accuracy, and...
The alignment problem—establishing links between corresponding phrases in two related sentences—is as important in natural language inference (NLI) as it is in machine translation (MT). But the tools ...
Lexical sparsity problem is much more serious for agglutinative language translation due to the multitude of inflected variants of lexicons.In this paper, we propose a novel opti mization strategy to ...
Tools assisting professional translators memorise translated sentences but provide limited functionality for the identification of terms and their translation equivalents in translated texts. In this ...

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