The effectiveness of bottom up technique with probabilistic approach for a Malay parser
Parsing is a process of analyzing the input string in a sentence to define the syntax structures according to rules of grammar. This task is performed by a parser which will produce a parse tree as output. However, a problem occurs when the parsing process produces two or more parse trees in whic...
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Penerbit Universiti Kebangsaan Malaysia
2018
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my-ukm.journal.137752019-12-09T23:15:28Z http://journalarticle.ukm.my/13775/ The effectiveness of bottom up technique with probabilistic approach for a Malay parser Muhammad Azhar Fairuzz Hiloh, Mohd Juzaiddin Ab Aziz, Lailatul Qadri Zakaria, Parsing is a process of analyzing the input string in a sentence to define the syntax structures according to rules of grammar. This task is performed by a parser which will produce a parse tree as output. However, a problem occurs when the parsing process produces two or more parse trees in which the parser unable to represent a precise parse tree. This limitation is caused by ambiguity in the structure of sentences. Ambiguity is occurred when a word is classified more than one category of syntax and its usage will affect the semantics of the sentence. Thus, the parser needs to have an approach to solve the ambiguity problem and is able to process the most appropriate parse tree to present a sentence. Like other languages in the world, Malay language, a national language for Malaysian, is not exempted from ambiguity problem. However, due to its grammar being context-free grammar, the probabilistic context-free grammar approach can be used to support the parser in determining a more accurate parse tree. This study focuses on the development of statistical parser using a bottom-up technique for Malay language. The training data, in the form of simple Malay language sentences, are collected from various sources. Based on this training data, a statistical lexical corpus of Malay language which consists of vocabulary, grammar rules and their probability was developed. The bottom up parsing will be supported by implementing Cocke–Younger–Kasami (CYK) algorithm. The parser’s performance is evaluated based on its effectiveness to overcome ambiguity by suggesting a more precise parse tree. In conclusion, the Malay Language Parser can be useful to help user identify the appropriate parse tree and solve ambiguity issues in Malay Language. Penerbit Universiti Kebangsaan Malaysia 2018-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13775/1/25512-76284-1-PB.pdf Muhammad Azhar Fairuzz Hiloh, and Mohd Juzaiddin Ab Aziz, and Lailatul Qadri Zakaria, (2018) The effectiveness of bottom up technique with probabilistic approach for a Malay parser. GEMA: Online Journal of Language Studies, 18 (2). pp. 124-133. ISSN 1675-8021 http://ejournal.ukm.my/gema/issue/view/1087 |
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Parsing is a process of analyzing the input string in a sentence to define the syntax structures
according to rules of grammar. This task is performed by a parser which will produce a parse
tree as output. However, a problem occurs when the parsing process produces two or more
parse trees in which the parser unable to represent a precise parse tree. This limitation is
caused by ambiguity in the structure of sentences. Ambiguity is occurred when a word is
classified more than one category of syntax and its usage will affect the semantics of the
sentence. Thus, the parser needs to have an approach to solve the ambiguity problem and is
able to process the most appropriate parse tree to present a sentence. Like other languages in
the world, Malay language, a national language for Malaysian, is not exempted from
ambiguity problem. However, due to its grammar being context-free grammar, the
probabilistic context-free grammar approach can be used to support the parser in determining
a more accurate parse tree. This study focuses on the development of statistical parser using a
bottom-up technique for Malay language. The training data, in the form of simple Malay
language sentences, are collected from various sources. Based on this training data, a
statistical lexical corpus of Malay language which consists of vocabulary, grammar rules and
their probability was developed. The bottom up parsing will be supported by implementing
Cocke–Younger–Kasami (CYK) algorithm. The parser’s performance is evaluated based on
its effectiveness to overcome ambiguity by suggesting a more precise parse tree. In
conclusion, the Malay Language Parser can be useful to help user identify the appropriate
parse tree and solve ambiguity issues in Malay Language. |
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Article |
author |
Muhammad Azhar Fairuzz Hiloh, Mohd Juzaiddin Ab Aziz, Lailatul Qadri Zakaria, |
spellingShingle |
Muhammad Azhar Fairuzz Hiloh, Mohd Juzaiddin Ab Aziz, Lailatul Qadri Zakaria, The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
author_facet |
Muhammad Azhar Fairuzz Hiloh, Mohd Juzaiddin Ab Aziz, Lailatul Qadri Zakaria, |
author_sort |
Muhammad Azhar Fairuzz Hiloh, |
title |
The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
title_short |
The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
title_full |
The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
title_fullStr |
The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
title_full_unstemmed |
The effectiveness of bottom up technique with probabilistic approach for a Malay parser |
title_sort |
effectiveness of bottom up technique with probabilistic approach for a malay parser |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2018 |
url |
http://journalarticle.ukm.my/13775/1/25512-76284-1-PB.pdf http://journalarticle.ukm.my/13775/ http://ejournal.ukm.my/gema/issue/view/1087 |
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