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A machine-aided approach to generati...

Jones, Sean.

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A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems./
Author:	Jones, Sean.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
Description:	101 p.
Notes:	Source: Masters Abstracts International, Volume: 55-03.
Contained By:	Masters Abstracts International55-03(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10002475
ISBN:	9781339419831

A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems.
Jones, Sean.

A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 101 p.

Source: Masters Abstracts International, Volume: 55-03.

Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2015.

Many automatic machine translation systems available today use a hybrid of pure statistical translation and rule-based grammatical translations. This is largely due to the shortcomings of each individual approach, requiring a large amount of time for linguistics experts to hand-code grammar rules for a rule-based system and requiring large amounts of source text to generate accurate statistical models. By automating a portion of the rule generation process, the creation of grammar rules could be made to be faster, more efficient and less costly. By doing statistical analysis on a bilingual corpus, common grammar rules can be inferred and exported to a hybrid system. The resulting rules then provide a base grammar for the system. This helps to reduce the time needed for experts to hand-code grammar rules and make a hybrid system more effective.

ISBN: 9781339419831Subjects--Topical Terms:

523869
Computer science.

A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems.
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245 1 2 $a A machine-aided approach to generating grammar rules from Japanese source text for use in hybrid and rule-based machine translation systems.
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300 $a 101 p.
500 $a Source: Masters Abstracts International, Volume: 55-03.
500 $a Includes supplementary digital materials.
500 $a Adviser: Susan McRoy.
502 $a Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2015.
520 $a Many automatic machine translation systems available today use a hybrid of pure statistical translation and rule-based grammatical translations. This is largely due to the shortcomings of each individual approach, requiring a large amount of time for linguistics experts to hand-code grammar rules for a rule-based system and requiring large amounts of source text to generate accurate statistical models. By automating a portion of the rule generation process, the creation of grammar rules could be made to be faster, more efficient and less costly. By doing statistical analysis on a bilingual corpus, common grammar rules can be inferred and exported to a hybrid system. The resulting rules then provide a base grammar for the system. This helps to reduce the time needed for experts to hand-code grammar rules and make a hybrid system more effective.
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