منابع مشابه
Adaptation in Machine Translation
Machine translation remains one of the grand challenge problems of natural language processing. Recent advances in the field have led to a number of applications demonstrating the potential and impact of the technology. Statistical machine translation (SMT) has emerged as the currently most promising approach to tackle the translation problem. During the last decade, it advanced to solidly outp...
متن کاملTranslation Model Adaptation by Resampling
The translation model of statistical machine translation systems is trained on parallel data coming from various sources and domains. These corpora are usually concatenated, word alignments are calculated and phrases are extracted. This means that the corpora are not weighted according to their importance to the domain of the translation task. This is in contrast to the training of the language...
متن کاملAnalysis of translation model adaptation in statistical machine translation
Numerous empirical results have shown that combining data from multiple domains often improve statistical machine translation (SMT) performance. For example, if we desire to build SMT for the medical domain, it may be beneficial to augment the training data with bitext from another domain, such as parliamentary proceedings. Despite the positive results, it is not clear exactly how and where add...
متن کاملBilingual LSA-based translation lexicon adaptation for spoken language translation
We present a bilingual LSA (bLSA) framework for translation lexicon adaptation. The idea is to apply marginal adaptation on a translation lexicon so that the lexicon marginals match to indomain marginals. In the framework of speech translation, the bLSA method transfers topic distributions from the source to the target side, such that the translation lexicon can be adapted before translation ba...
متن کاملCombining Statistical Machine Translation and Translation Memories with Domain Adaptation
Since the emergence of translation memory software, translation companies and freelance translators have been accumulating translated text for various languages and domains. This data has the potential of being used for training domain-specific machine translation systems for corporate or even personal use. But while the resulting systems usually perform well in translating domain-specific lang...
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ژورنال
عنوان ژورنال: Journal of Classics Teaching
سال: 2017
ISSN: 2058-6310
DOI: 10.1017/s2058631017000149