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RESEARCH PRODUCT

Multi-system machine translation using online APIs for English-Latvian

Matīss Rikters

subject

PerplexityMachine translationComputer sciencebusiness.industryWord error rateLatvianHybrid machine translationcomputer.software_genreTranslation (geometry)language.human_languagelanguageComputer-assisted translationArtificial intelligencebusinesscomputerSelection (genetic algorithm)Natural language processing

description

This paper describes a hybrid machine translation (HMT) system that employs several online MT system application program interfaces (APIs) forming a MultiSystem Machine Translation (MSMT) approach. The goal is to improve the automated translation of English – Latvian texts over each of the individual MT APIs. The selection of the best hypothesis translation is done by calculating the perplexity for each hypothesis. Experiment results show a slight improvement of BLEU score and WER (word error rate).

yearjournalcountryeditionlanguage
2015-01-01Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)
https://doi.org/10.18653/v1/w15-4102