Optimization for Statistical Machine Translation: A Survey
نویسندگان
چکیده
منابع مشابه
Optimization for Statistical Machine Translation: A Survey
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we survey 12 years of research on optimization for SMT, from the seminal work on discriminative models (Och and Ney 2002) and minimum error rate training (Och 2003), to the most recent advances. Starting ...
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Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and many popular techniques have only emerged within the last few years. This survey presents a tutorial overview of ...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2016
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli_a_00241