- A. Alvarez, Lori S. Levin, R. Frederking. 2007. An assessment of language elicitation without the supervision of a linguist. Abstract: The AVENUE machine translation system is designed for resource poor scenarios in which parallel corpora are not available. In this situation, parallel corpora are created by bilingual consultants who translate an elicitation corpus into their languages. We have described the elicitation corpus in other publications. This paper is concerned with evaluation of the elicitation corpus: is it suitably designed so that a bilingual consultant can produce reliable data without the supervision of a linguist? We evaluated two translations of the English elicitation corpus, one into Thai and one into Bengali. Two types of evaluation were conducted: an error analysis of the translations produced by the Thai and Bengali consultants, and a comparison of Example Based MT trained on the original translations and on corrected translations.
