Abstract
The AVENUE project contains a run-time machine translationprogram that is surrounded by pre- and post-run-time modules. Thepost-run-time module selects among translation alternatives. Thepre-run-time modules are concerned with elicitation of data andautomatic learning of transfer rules in order to facilitate thedevelopment of machine translation between a language with extensiveresources for natural language processing and a language with fewresources for natural language processing. This paper describes therun-time transfer-based machine translation system as well as two ofthe pre-run-time modules: elicitation of data from the minoritylanguage and automated learning of transfer rules from theelicited data.
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Probst, K., Levin, L., Peterson, E. et al. MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules. Machine Translation 17, 245–270 (2002). https://doi.org/10.1023/B:COAT.0000021003.55041.fd
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DOI: https://doi.org/10.1023/B:COAT.0000021003.55041.fd