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

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 inp...

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Main Author: Lim, Huan Ngee
Format: Thesis
Language:English
Published: 2009
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/28743/1/Analogical_learner_for_natural_language_processing_based_on_structured_string-tree_correspondence_%28sstc%29_and_case-based_reasoning.pdf
http://eprints.usm.my/28743/
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spelling my.usm.eprints.28743 http://eprints.usm.my/28743/ Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning Lim, Huan Ngee QA75.5-76.95 Electronic computers. Computer science 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. 2009-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/28743/1/Analogical_learner_for_natural_language_processing_based_on_structured_string-tree_correspondence_%28sstc%29_and_case-based_reasoning.pdf Lim, Huan Ngee (2009) Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning. Masters thesis, USM.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Lim, Huan Ngee
Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
description 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.
format Thesis
author Lim, Huan Ngee
author_facet Lim, Huan Ngee
author_sort Lim, Huan Ngee
title Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
title_short Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
title_full Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
title_fullStr Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
title_full_unstemmed Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning
title_sort analogical learner for natural language processing based on structured string-tree correspondence (sstc) and case-based reasoning
publishDate 2009
url http://eprints.usm.my/28743/1/Analogical_learner_for_natural_language_processing_based_on_structured_string-tree_correspondence_%28sstc%29_and_case-based_reasoning.pdf
http://eprints.usm.my/28743/
_version_ 1643706719635767296
score 13.160551

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