Leveraging Neural Machine Translation for Word Alignment
نویسندگان
چکیده
منابع مشابه
Bayesian Word Alignment for Statistical Machine Translation
In this work, we compare the translation performance of word alignments obtained via Bayesian inference to those obtained via expectation-maximization (EM). We propose a Gibbs sampler for fully Bayesian inference in IBM Model 1, integrating over all possible parameter values in finding the alignment distribution. We show that Bayesian inference outperforms EM in all of the tested language pairs...
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ژورنال
عنوان ژورنال: Prague Bulletin of Mathematical Linguistics
سال: 2021
ISSN: 1804-0462,0032-6585
DOI: 10.14712/00326585.014