The Tenjinno machine translation competition

Bradford Starkie, Menno van Zaanen, Dominique Estival

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

11 Citations (Scopus)


This paper describes the Tenjinno Machine Translation Competition held as part of the International Colloquium on Grammatical Inference 2006. The competition aimed to promote the development of new and better practical grammatical inference algorithms used in machine translation. Tenjinno focuses on formal models used in machine translation. We discuss design issues and decisions made when creating the competition. For the purpose of setting the competition tasks, a measure of the complexity of learning a transducer was developed. This measure has enabled us to compare the competition tasks to other published results, and it can be seen that the problems solved in the competition were of a greater complexity and were solved with lower word error rates than other published results. In addition the complexity measures and benchmark problems can be used to track the progress of the state-of-the-art into the future.
Original languageEnglish
Title of host publicationGrammatical inference
Subtitle of host publicationalgorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings
EditorsYasubumi Sakakibara, Satoshi Kobayashi, Kengo Sato, Tetsuro Nishino, Etsuji Tomita
Place of PublicationBerlin ; New York
PublisherSpringer, Springer Nature
Number of pages13
ISBN (Print)9783540452645
Publication statusPublished - 2006
EventInternational Colloquium on Grammatical Inference (8th : 2006) -
Duration: 20 Sep 200622 Sep 2006

Publication series

NameLecture notes in computer science


ConferenceInternational Colloquium on Grammatical Inference (8th : 2006)


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