Grammatical inference for syntax-based statistical machine translation

Menno van Zaanen, Jeroen Geertzen

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

1 Citation (Scopus)


In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.
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 pages2
ISBN (Print)9783540452645
Publication statusPublished - 2006
EventInternational Colloquium on Grammatical Inference (8th : 2006) -
Duration: 20 Sept 200622 Sept 2006

Publication series

NameLecture notes in computer science


ConferenceInternational Colloquium on Grammatical Inference (8th : 2006)

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