Internet Archive Scholar

Towards incorporating language morphology into statistical machine translation systems

P. Karageorgakis, A. Potamianos, I. Klasinas
2005 IEEE Workshop on Automatic Speech Recognition and Understanding, 2005.  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (173.2 kB)
https://web.archive.org/web/20170705131128/http://www.telecom.tuc.gr/%7Epotam/preprints/conf/05_ASRU_translation.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL. The file type is application/pdf.

In this paper, a novel algorithm for incorporating morphological knowledge into statistical machine translation (SMT) systems is proposed. First, word stems are acquired automatically for the source and target languages using an unsupervised morphological acquisition algorithm. Then a word-stem based SMT system is built and combined with a phrase-based word level SMT system using a general statistical framework. The combined lexical and morphological SMT system is implemented using late
more » ... ion and lattice re-scoring. The system is then evaluated on the Europarl corpus, using automatic evaluation methods for various training corpus sizes. It is shown, that both the BLEU and NIST scores of the lexical-morphological system improve by about 14% over the baseline English to Greek tranlation system when using a 1M word training corpus.
doi:10.1109/asru.2005.1566533 fatcat:azx6gi66vbb7lo3kzus3duenme
Citation

P. Karageorgakis, A. Potamianos, I. Klasinas. "Towards incorporating language morphology into statistical machine translation systems." IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. (2005)