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ترجمۀ ماشینی آماری
* Statistical Machine Translation (SMT) is a Machine Translation (MT) paradigm that generates translations based on statistical models whose parameters are determined from multilingual text corporate research.
In contrast to the word-based rule-based machine translation (RBMT) method, most extant SMT systems are phrase-based and employ overlap phrases to create translations.
Koehn [40] defined an open-source SMT toolkit that enables linguistically driven influences, confusion network decoding, and efficient data formats for translation models and language models.
Non-factored SMT typically works with only the surface form of words and has a single phrase table.
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