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Using sentence connectors for evaluating MT output
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| Citations: | 2 - 0 self |
BibTeX
@MISC{And_usingsentence,
author = {Eric Visser And and Eric M. Visser and Masaru Fuji},
title = {Using sentence connectors for evaluating MT output},
year = {}
}
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Abstract
This paper elaborates on the design of a machine translation evaluation method that aims to determine to what degree the meaning of an original text is preserved in translation, without looking into the grammatical correctness of its constituent sentences. The basic idea is to have a human evaluator take the sentences of the translated text and, for each of these sentences, determine the semantic relationship that exists between it and the sentence immediately preceding it. In order to miniraise evaluator dependence, relations between sentences are expressed in terms of the conjuncts that can connect them, rather than through explicit categories. For an n-sentence text this results in a list of n - 1 sentence-to-sentence relationships, which we call the tcxt's connectivity profile. This can then bc compared to the connectivity profile of the original text, and the degree of correspondence between the two would bca measure for the quality of the translation.
