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@inproceedings{1311833,
author = {Medveď, Marek and Baisa, Vít and Horák, Aleš},
address = {Bulgaria},
booktitle = {Proceedings of The Workshop on Natural Language Processing for Translation Memories (NLP4TM)},
editor = {Constantin Orasan and Rohit Gupta},
keywords = {transaltion memories; DGT; MemoQ; Moses; segment; CAT},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Bulgaria},
isbn = {978-954-452-032-8},
pages = {31-35},
publisher = {INCOMA Ltd. Shoumen},
title = {Increasing Coverage of Translation Memories with Linguistically Motivated Segment Combination Methods},
url = {http://rgcl.wlv.ac.uk/events/NLP4TM/3_Paper.pdf},
year = {2015}
}
TY - JOUR
ID - 1311833
AU - Medveď, Marek - Baisa, Vít - Horák, Aleš
PY - 2015
TI - Increasing Coverage of Translation Memories with Linguistically Motivated Segment Combination Methods
PB - INCOMA Ltd. Shoumen
CY - Bulgaria
SN - 9789544520328
KW - transaltion memories
KW - DGT
KW - MemoQ
KW - Moses
KW - segment
KW - CAT
UR - http://rgcl.wlv.ac.uk/events/NLP4TM/3_Paper.pdf
L2 - http://rgcl.wlv.ac.uk/events/NLP4TM/3_Paper.pdf
N2 - Translation memories (TMs) used in computer-aided translation (CAT) systems are the highest-quality source of parallel texts since they consist of segment translation pairs approved by professional human translators. The obvious problem is their size and coverage of new document segments when compared with other parallel data. In this paper, we describe several methods for expanding translation memories using linguistically motivated segment combining approaches concentrated on preserving the high translational quality. The evaluation of the methods was done on a medium-size real-world translation memory and documents provided by a Czech translation company as well as on a large publicly available DGT translation memory published by European Commission. The asset of the TM expansion methods were evaluated by the pre-translation analysis of widely used MemoQ CAT system and the METEOR metric was used for measuring the quality of fully expanded new translation segments.
ER -
MEDVEĎ, Marek, Vít BAISA a Aleš HORÁK. Increasing Coverage of Translation Memories with Linguistically Motivated Segment Combination Methods. In Constantin Orasan and Rohit Gupta. \textit{Proceedings of The Workshop on Natural Language Processing for Translation Memories (NLP4TM)}. Bulgaria: INCOMA Ltd. Shoumen, 2015, s.~31-35. ISBN~978-954-452-032-8.
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