A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines
نویسندگان
چکیده
منابع مشابه
A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines
In this paper, we report an analysis of the strengths and weaknesses of several Machine Translation (MT) engines implementing the three most widely used paradigms. The analysis is based on a manually built test suite that comprises a large range of linguistic phenomena. Two main observations are on the one hand the striking improvement of an commercial online system when turning from a phrase-b...
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What Can Syntax-Based MT Learn from Phrase-Based MT?
We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly describe each model, highlighting points where they differ. We include a quantitative comparison of the phrase pairs that each model has to work with, as well as the reasons why some phrase pairs are not learned by the synta...
متن کاملTransformation-based correction of rule-based MT
We present a pilot study for using transformation-based learning for automatic correction of rule-based machine translation. Correction rules are learned based on a parallel corpus of machine translations from a commercial machine translation system and a human-corrected version of these translations. The correction rules exploit information on word forms and part of speech. The experiment resu...
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Prepositional Phrase is the key issue in structural ambiguity. Recently, researches in corpora provide the lexical cue of prepositions with other words and the information could be used to partly resolve ambiguity resulted from prepositional phrases. Two possible attachments are considered in the literature: either noun attachment or verb attachment. In this paper, we consider the problem from ...
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ژورنال
عنوان ژورنال: The Prague Bulletin of Mathematical Linguistics
سال: 2017
ISSN: 1804-0462
DOI: 10.1515/pralin-2017-0017