Abstract:Language modeling is a very important step in several NLP applications. Most of the current language models are based on probabilistic methods. In this paper, we propose a new language modeling approach based on the possibility theory. Our goal is to suggest a method for estimating the possibility of a word-sequence and to test this new approach in a machine translation system. We propose a wordsequence possibilistic measure, which can be estimated from a corpus. We proceeded in two ways: first, we checked the… Show more
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