Discourse Structure in Machine Translation Evaluation
نویسندگان
چکیده
منابع مشابه
Discourse Structure in Machine Translation Evaluation
In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use allsubtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing m...
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Statistical Machine Translation is a modern success: Given a source language sentence, SMT finds the most probable target language sentence, based on (1) properties of the source; (2) probabilistic source--target mappings at the level of words, phrases and/or sub-structures; and (3) properties of the target language. SMT translates individual sentences because the search space even for a single...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2017
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli_a_00298