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Our method involves adapting a task-dependent LM that is created from a sparse amount of text using a large translated text, where denotes the machine translation of the rich corpus, preferably in the same domain area as the task.

A system that uses an automatic speech recognition system for human translators is improved in [6] by using a statistical machine translation of the source text.

Machine translation of language, however, has shown some success.

Google recently published a technical paper on building large models for machine translation of language.

This paper gives an intellectual overview of the field of machine translation of natural languages (MT).

It has been recognized that machine translation of Chinese is an extremely difficult task.

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A team of computer scientists at Johns Hopkins led by David Yarowsky is developing machine translations of such languages as Uzbek, Bengali, Nepali -- and one from "Star Trek".

In December 1997, the AltaVista search portal introduced a popular version of machine translation for the World Wide Web.

Using the API itself is free (as is opting for machine translation for selected pieces of content), while customers are charged the same prices for translation through the API as through the web form (starting from $0.055 per word).

Language modelling can be used not only in speech recognition application, but also in other areas of speech and language processing, e.g., language recognition, machine translation, part-of-speech tagging, parsing, handwriting recognition, information retrieval and other applications.

Martinez and Martinez [30] emphasize that machine translation, part-of-speech tagging, word sense disambiguation, and text summarization are some of the identified applications that statisticians can contribute.

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