A Computational Lexicalization Approach
نویسنده
چکیده
Fine-Grained lexicalization has been treated as a post process to refine the machine planned discourse and make the machine generated language more coherent and more fluent. Without this process, a system can still generate comprehensible languages but may sound unnatural and sometimes frustrate its users. To this end, generating coherent and natural sounding language is a major concern in any natural language system. In this paper, a lexicalization approach is presented to refine the machine generated language.
منابع مشابه
Lexicalization of Context (hpsg-97 Draft)
We propose lexical rather than phrasal amalgamation of contextual features. On a theoretical level, the lexicalization of context naturally follows other recent revisions concerned with lexicalization of set-valued features (nonlocal features, quantiier storage). On a computational level, it ooers advantages in using HPSG with head-driven generation algorithms. On a linguistic level, we sketch ...
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Marco Kuhlmann, Alexander Koller and Giorgio Satta, Lexicalization and Generative Power in CCG, 2015, Computational linguistics Association for Computational Linguistics (Print), (41), 2, 215-247. http://dx.doi.org/10.1162/COLI_a_00219 Copyright: Massachusetts Institute of Technology Press (MIT Press): STM Titles / MIT Press http://mitpress.mit.edu/main/home/default.asp?sid=19E29805-C0A0-4642-8...
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