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

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
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id my-usm-ep.28743
record_format uketd_dc
spelling my-usm-ep.287432017-04-14T12:18:33Z Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning 2009-05 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 http://eprints.usm.my/28743/ 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 application/pdf en public masters USM Pusat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
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
qualification_level Master's degree
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
granting_institution USM
granting_department Pusat Pengajian Sains Komputer
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
_version_ 1747820019823149056

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