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Addicter: What is wrong with my translations?


Zeman, Daniel; Fishel, Mark; Berka, Jan; Bojar, Ondřej (2011). Addicter: What is wrong with my translations? The Prague Bulletin of Mathematical Linguistics, 96:79-88.

Abstract

We introduce Addicter, a tool for Automatic Detection and DIsplay of Common Translation ERrors. The tool allows to automatically identify and label translation errors and browse the test and training corpus and word alignments; usage of additional linguistic tools is also supported.
The error classification is inspired by that of Vilar et al. (2006), although some of their higherlevel categories are beyond the reach of the current version of our system. In addition to the tool itself we present a comparison of the proposed method to manually classified translation
errors and a thorough evaluation of the generated alignments.

Abstract

We introduce Addicter, a tool for Automatic Detection and DIsplay of Common Translation ERrors. The tool allows to automatically identify and label translation errors and browse the test and training corpus and word alignments; usage of additional linguistic tools is also supported.
The error classification is inspired by that of Vilar et al. (2006), although some of their higherlevel categories are beyond the reach of the current version of our system. In addition to the tool itself we present a comparison of the proposed method to manually classified translation
errors and a thorough evaluation of the generated alignments.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Date:2011
Deposited On:09 May 2012 09:18
Last Modified:05 Apr 2016 15:48
Publisher:Versita Open
ISSN:0032-6585
Funders:Czech Science Foundation grants P406/11/1499 and P406/10/P259, Estonian Center of Excellence in Computer Science
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.2478/v10108-011-0013-2

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