Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-62156
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.
View at publisher
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.
86 downloads since deposited on 09 May 2012
46 downloads since 12 months
|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
|Deposited On:||09 May 2012 09:18|
|Last Modified:||05 Apr 2016 15:48|
|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.|
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page