TY - GEN
T1 - Dictionary of multiword expressions for translation into highly inflected languages
AU - Deksne, Daiga
AU - Skadiņš, Raivis
AU - Skadiņa, Inguna
PY - 2008
Y1 - 2008
N2 - Treatment of Multiword Expressions (MWEs) is one of the most complicated issues in natural language processing, especially in Machine Translation (MT). The paper presents dictionary of MWEs for a English-Latvian MT system, demonstrating a way how MWEs could be handled for inflected languages with rich morphology and rather free word order. The proposed dictionary of MWEs consists of two constituents - a lexicon of phrases and a set of MWE rules. The lexicon of phrases is rather similar to translation lexicon of the MT system, while MWE rules describe syntactic structure of the source and target sentence allowing correct transformation of different MWE types into the target language and ensuring correct syntactic structure. The paper demonstrates this approach on different MWE types, starting from simple syntactic structures, followed by more complicated cases and including fully idiomatic expressions. Automatic evaluation shows that the described approach increases the quality of translation by 0.6 BLEU points.
AB - Treatment of Multiword Expressions (MWEs) is one of the most complicated issues in natural language processing, especially in Machine Translation (MT). The paper presents dictionary of MWEs for a English-Latvian MT system, demonstrating a way how MWEs could be handled for inflected languages with rich morphology and rather free word order. The proposed dictionary of MWEs consists of two constituents - a lexicon of phrases and a set of MWE rules. The lexicon of phrases is rather similar to translation lexicon of the MT system, while MWE rules describe syntactic structure of the source and target sentence allowing correct transformation of different MWE types into the target language and ensuring correct syntactic structure. The paper demonstrates this approach on different MWE types, starting from simple syntactic structures, followed by more complicated cases and including fully idiomatic expressions. Automatic evaluation shows that the described approach increases the quality of translation by 0.6 BLEU points.
UR - https://www.scopus.com/pages/publications/84992541412
M3 - Conference paper
AN - SCOPUS:84992541412
T3 - Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008
SP - 1401
EP - 1405
BT - Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008
PB - European Language Resources Association (ELRA)
T2 - 6th International Conference on Language Resources and Evaluation, LREC 2008
Y2 - 28 May 2008 through 30 May 2008
ER -