Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases
Multiword expressions (MWEs) make up a significant portion of the lexicon and have distinctive characteristics of non-compositionality, non-substitutability, non-modifiability. They have been widely recognized as a very problematic part of natural language processing (NLP) as the current linguistic...
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sg-ntu-dr.10356-697022019-12-10T13:17:24Z Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases Lee, Hui Shan Francis Bond School of Humanities and Social Sciences DRNTU::Humanities Multiword expressions (MWEs) make up a significant portion of the lexicon and have distinctive characteristics of non-compositionality, non-substitutability, non-modifiability. They have been widely recognized as a very problematic part of natural language processing (NLP) as the current linguistic databases often do not have enough coverage on MWEs. This paper attempts to fill a gap in research by looking at how difficult it is to retrieve and process Japanese MWEs. The research presents an overview of 360 entries obtained through automatic-retrieval (AR) and manual retrieval (MR) from the corpus. These entries are then compared across seven databases; goo dictionary, imiwa? dictionary, the JDMWE, the WWWJDIC, NINJAL, wordnet, and the N-gram count corpus to test for whether thery are MWEs. The results obtained from this study suggest that the coverage of the database used, the differences in how phrases are represented in the dictionary, complications caused by the different writing systems present in Japanese, as well as the need for human judgement, are some of the main problems in determining whether a phrase is an MWE. Bachelor of Arts 2017-03-20T04:23:43Z 2017-03-20T04:23:43Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/69702 en Nanyang Technological University 55 p. application/pdf |
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DRNTU::Humanities Lee, Hui Shan Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
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Multiword expressions (MWEs) make up a significant portion of the lexicon and have distinctive characteristics of non-compositionality, non-substitutability, non-modifiability. They have been widely recognized as a very problematic part of natural language processing (NLP) as the current linguistic databases often do not have enough coverage on MWEs. This paper attempts to fill a gap in research by looking at how difficult it is to retrieve and process Japanese MWEs. The research presents an overview of 360 entries obtained through automatic-retrieval (AR) and manual retrieval (MR) from the corpus. These entries are then compared across seven databases; goo dictionary, imiwa? dictionary, the JDMWE, the WWWJDIC, NINJAL, wordnet, and the N-gram count corpus to test for whether thery are MWEs. The results obtained from this study suggest that the coverage of the database used, the differences in how phrases are represented in the dictionary, complications caused by the different writing systems present in Japanese, as well as the need for human judgement, are some of the main problems in determining whether a phrase is an MWE. |
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Francis Bond |
author_facet |
Francis Bond Lee, Hui Shan |
format |
Final Year Project |
author |
Lee, Hui Shan |
author_sort |
Lee, Hui Shan |
title |
Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
title_short |
Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
title_full |
Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
title_fullStr |
Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
title_full_unstemmed |
Multiword expressions : a study on representation of Japanese MWEs in wordnet and other lexical databases |
title_sort |
multiword expressions : a study on representation of japanese mwes in wordnet and other lexical databases |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/69702 |
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1681038113303953408 |