Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning

Lim, Huan Ngee (2009) Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning. Masters thesis, USM.

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Abstract

Mesin terjemahan melalui contoh menggunakan contoh penterjemahan yang seiras yang didapati daripada bank pengetahuan dua bahasa (BKB). Example-Based Machine Translation (EBMT) is using the similar translation examples which are retrieved from the Bilingual Knowledge Bank (BKB) to translate an input sentence.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User: Mr Firdaus Mohamad
Date Deposited: 21 May 2015 05:25
Last Modified: 14 Apr 2017 12:18
URI: http://eprints.usm.my/id/eprint/28743

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