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Academic Paper

Title: Resolution of Unidentified words in Machine Translation
Author: Sana Ullah
Email: click here TO access email
Institution: Inha University
Author: Kyung Sup Kwak
Author: Md. Asdaque Hussain
Email: click here TO access email
Linguistic Field: Computational Linguistics
Subject Language: Pashto, Northern
Abstract: This paper presents a mechanism of resolving unidentified lexical units in text-based machine translation (TBMT). In machine translation system it is unlikely to have a complete MT lexicon and hence there is need of a mechanism to handle the problem of unidentified words. These unknown words could be abbreviations, names, acronyms and newly introduced terms. We have proposed an algorithm for the resolution of the unidentified words. This algorithm takes discourse unit (primitive discourse) as a unit of analysis and provides real time updates to the lexicon. We have manually applied the algorithm to news paper fragments. Along with anaphora and cataphora resolution, many unknown words especially names and abbreviations were updated to the lexicon. Moreover, flowchart of the proposed algorithm is also presented.
Type: Individual Paper
Status: Completed
Venue: Seoul, Korea
Publication Info: NEXT 07, pp. 603-606

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