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Model adaptation techniques in machine translation
Nowadays several indicators suggest that the statistical approach to machinetranslation is the most promising. It allows fast development of systems for anylanguage... -
Discriminative Alignment Models For Statistical Machine Translation
Bitext alignment is the task of aligning a text in a source language and its translation in the target language. Aligning amounts to finding the translational... -
Efficient corpus selection for statistical machine translation
In our world of international communications, machine translation has become a key technology essential. Several pproaches exist, but in recent years the so-called... -
Improving sampling-based alignment by investigating the distribution of n-gra...
International audience -
Extraction a parallel corpus for machine translation from and to under-resour...
Nowadays, machine translation has reached good results when applied to several language pairs such as English – French, English – Chinese, English – Spanish, etc.... -
Continuous space models with neural networks in natural language processing
The purpose of language models is in general to capture and to model regularities of language, thereby capturing morphological, syntactical and distributional... -
Improvements for Machine Translation Systems Using Linguistic and Thematic An...
Machine Translation is one of the most difficult tasks in natural language and speech processing. The linguistic peculiarities of some languages makes the machine... -
Domain Adaptation for Statistical Machine Translation
These last years have seen the development of statistical approaches for machine translation. Nevertheless, the intrinsic variations of the natural language act upon... -
Using parallel and comparable corpora for multilingual linguistic resources e...
Bilingual lexicons are central components of machine translation and cross-lingual information retrieval systems. Their manual construction requires extensive...
