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Enhancing Phrase Extraction From Word Alignments Using Morphorology
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Abstract: We propose a technique for effective extraction of bilingual phrases from word alignments using morphological processing. Morphological processing leads to an increase of the frequency of words in the corpus, consequently reduces Alignment Error Rate (AER). Intuitively, better word alignments enhance the quality of bilingual phrases extracted. Using alignments of a stemmed corpus for phrase extraction, instead of alignments of a raw one, shows significant improvements in translation quality, especially with small corpora.
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| URL |
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| Publication year |
2005
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| Pages |
57-65
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| Organization Name |
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| Country |
Egypt
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| City |
Cairo
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| Publisher |
Name:
Faculty of Engineering, Ain Shams University
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| serial title |
Fifth Conference on Language Engineering
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| Agris Categories |
Documentation and information
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| Proposed Agrovoc |
word alignments; phrase extraction; morphology; statistical machine translation;
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| Publication Type |
Conference/Workshop
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