Learning translation rules for a bidirectional English-Filipino machine translator
Filipino is a changing language that poses several challenges. Our goal is to develop a bidirectional English-Filipino Machine Translation (MT) system using a hybrid approach to learn rules from examples. The first phase was an English to Filipino MT system that required several language resources....
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oai:animorepository.dlsu.edu.ph:faculty_research-90972023-04-17T02:06:58Z Learning translation rules for a bidirectional English-Filipino machine translator Tan, Michelle Wendy G. Hong, Bryan Anthony S. Alcantara, Danniel L. Perez, Amiel L. Tan, Lawrence C. Filipino is a changing language that poses several challenges. Our goal is to develop a bidirectional English-Filipino Machine Translation (MT) system using a hybrid approach to learn rules from examples. The first phase was an English to Filipino MT system that required several language resources. The problem lies on its dependency over the annotated grammar which is currently unavailable for Filipino, which makes reverse translation impossible. Phase 2 addresses this limitation by using information taken from English and Filipino POS Taggers. The seed rules are generated by aligning the POS tags from English and Filipino examples, including their constraints. To perform compositionality, the system deduces the constituent labels by using the longest adjacent POS tags found in both the English and Filipino rule. The system groups together similar rules and generalizes it to encompass a wider range of unseen examples. 2006-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9102 Faculty Research Work Animo Repository Filipino language—Machine translating English language—Machine translating Computer Sciences |
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Filipino language—Machine translating English language—Machine translating Computer Sciences Tan, Michelle Wendy G. Hong, Bryan Anthony S. Alcantara, Danniel L. Perez, Amiel L. Tan, Lawrence C. Learning translation rules for a bidirectional English-Filipino machine translator |
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Filipino is a changing language that poses several challenges. Our goal is to develop a bidirectional English-Filipino Machine Translation (MT) system using a hybrid approach to learn rules from examples. The first phase was an English to Filipino MT system that required several language resources. The problem lies on its dependency over the annotated grammar which is currently unavailable for Filipino, which makes reverse translation impossible. Phase 2 addresses this limitation by using information taken from English and Filipino POS Taggers. The seed rules are generated by aligning the POS tags from English and Filipino examples, including their constraints. To perform compositionality, the system deduces the constituent labels by using the longest adjacent POS tags found in both the English and Filipino rule. The system groups together similar rules and generalizes it to encompass a wider range of unseen examples. |
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text |
author |
Tan, Michelle Wendy G. Hong, Bryan Anthony S. Alcantara, Danniel L. Perez, Amiel L. Tan, Lawrence C. |
author_facet |
Tan, Michelle Wendy G. Hong, Bryan Anthony S. Alcantara, Danniel L. Perez, Amiel L. Tan, Lawrence C. |
author_sort |
Tan, Michelle Wendy G. |
title |
Learning translation rules for a bidirectional English-Filipino machine translator |
title_short |
Learning translation rules for a bidirectional English-Filipino machine translator |
title_full |
Learning translation rules for a bidirectional English-Filipino machine translator |
title_fullStr |
Learning translation rules for a bidirectional English-Filipino machine translator |
title_full_unstemmed |
Learning translation rules for a bidirectional English-Filipino machine translator |
title_sort |
learning translation rules for a bidirectional english-filipino machine translator |
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Animo Repository |
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2006 |
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https://animorepository.dlsu.edu.ph/faculty_research/9102 |
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