Annotated disjunct in link grammar for machine translation
In this paper, a Machine Translation (MT) model using the Link Grammar (LG) formalism is introduced. The contribution to this formalism is by developing a hybrid of direct and rule-based translation model which is suitable for translating a source language text with its parser into target language t...
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2007
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my.utp.eprints.1222017-01-19T08:27:01Z Annotated disjunct in link grammar for machine translation B., Baharudin T.B., Adji N., Zamin Q Science (General) QA75 Electronic computers. Computer science In this paper, a Machine Translation (MT) model using the Link Grammar (LG) formalism is introduced. The contribution to this formalism is by developing a hybrid of direct and rule-based translation model which is suitable for translating a source language text with its parser into target language text with no grammar formalism and corpus yet. This model can theoretically handle one-to-one, many-to-one, and many-to-many word(s) translations. ©2007 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/122/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57949100206&partnerID=40&md5=11950d36adc9cf32186b11580ee778df B., Baharudin and T.B., Adji and N., Zamin (2007) Annotated disjunct in link grammar for machine translation. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, Kuala Lumpur, 25 November 2007 through 28 November 2007. http://eprints.utp.edu.my/122/ |
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Q Science (General) QA75 Electronic computers. Computer science B., Baharudin T.B., Adji N., Zamin Annotated disjunct in link grammar for machine translation |
| description |
In this paper, a Machine Translation (MT) model using the Link Grammar (LG) formalism is introduced. The contribution to this formalism is by developing a hybrid of direct and rule-based translation model which is suitable for translating a source language text with its parser into target language text with no grammar formalism and corpus yet. This model can theoretically handle one-to-one, many-to-one, and many-to-many word(s) translations. ©2007 IEEE.
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| format |
Conference or Workshop Item |
| author |
B., Baharudin T.B., Adji N., Zamin |
| author_facet |
B., Baharudin T.B., Adji N., Zamin |
| author_sort |
B., Baharudin |
| title |
Annotated disjunct in link grammar for machine translation
|
| title_short |
Annotated disjunct in link grammar for machine translation
|
| title_full |
Annotated disjunct in link grammar for machine translation
|
| title_fullStr |
Annotated disjunct in link grammar for machine translation
|
| title_full_unstemmed |
Annotated disjunct in link grammar for machine translation
|
| title_sort |
annotated disjunct in link grammar for machine translation |
| publishDate |
2007 |
| url |
http://eprints.utp.edu.my/122/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57949100206&partnerID=40&md5=11950d36adc9cf32186b11580ee778df http://eprints.utp.edu.my/122/ |
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1738655029119680512 |