Apertium-IceNLP: A rule-based Icelandic to English machine translation system

Martha Dís Brandt*, Hrafn Loftsson, Hlynur Sigurþórsson, Francis M. Tyers

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

We describe the development of a prototype of an open source rule-based Icelandic→English MT system, based on the Apertium MT framework and IceNLP, a natural language processing toolkit for Icelandic. Our system, Apertium-IceNLP, is the first system in which the whole morphological and tagging component of Apertium is replaced by modules from an external system. Evaluation shows that the word error rate and the position in dependent word error rate for our prototype is 50.6% and 40.8%, respectively. As expected, this is higher than the corresponding error rates in two publicly available MT systems that we used for comparison. Contrary to our expectations, the error rates of our prototype is also higher than the error rates of a comparable system based solely on Apertium modules. Based on error analysis, we conclude that better translation quality may be achieved by replacing only the tagging component of Apertium with the corresponding module in IceNLP, but leaving morphological analysis to Apertium.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference of the European Association for Machine Translation, EAMT 2011
Pages217-224
Number of pages8
Publication statusPublished - 2011
Event15th International Conference of the European Association for Machine Translation, EAMT 2011 - Leuven, Belgium
Duration: 30 May 201131 May 2011

Publication series

NameProceedings of the 15th International Conference of the European Association for Machine Translation, EAMT 2011

Conference

Conference15th International Conference of the European Association for Machine Translation, EAMT 2011
Country/TerritoryBelgium
CityLeuven
Period30/05/1131/05/11

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