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Spreading Activation Way of Knowledge Integration Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Learning Clusters of Bilingual Suffixes Using Bilingual Translation Lexicon

Authors : K. M. Kavitha, Luís Gomes, José Gabriel P. Lopes

Published in: Mining Intelligence and Knowledge Exploration

Publisher: Springer International Publishing

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Abstract

By learning bilingual suffixation operations from translations using an existing bilingual lexicon with near translation forms we can improve its coverage and hence deal with the OOV entries. From this perspective, we identify bilingual stems, their bilingual morphological extensions (bilingual suffixes) and subsequently clusters of bilingual suffixes using known translation forms seen in an existing bilingual translation lexicon. We rely on clustering to enable safer translation generalisations. The degree of co-occurrence between two bilingual morphological extensions with reference to common bilingual stems determines if each of them should fall in the same cluster. Results are discussed for language pairs English-Portuguese (EN-PT) and English-Hindi (EN-HI).

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previous chapter A Supervised Framework for Classifying Dependency Relations from Bengali Shallow Parsed Sentences
next chapter Automatic Construction of Tamil UNL Dictionary
Footnotes
1
Note the null suffix in EN corresponding to gender and number suffixes in HI.
 
2
Translations that are lexically similar.
 
3
A suffix cluster may or may not correspond to Part-of-Speech such as noun or adjective but there are cases where the same suffix cluster aggregates nouns, adjectives and adverbs.
 
5
2\(^{nd}\) line in each row shows the transliterations for HI terms.
 
9
In the Table 4, only two bilingual suffixes are shown per cluster although the original clusters contains varying number of bilingual suffixes ranging from 2 to 15 for EN-PT and from 2 to 5 for EN-HI.
 
Literature
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Aires, J., Lopes, G.P., Gomes, L.: Phrase translation extraction from aligned parallel corpora using suffix arrays and related structures. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS, vol. 5816, pp. 587–597. Springer, Heidelberg (2009) CrossRef
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Gomes, L., Pereira Lopes, J.G.: Measuring spelling similarity for cognate identification. In: Antunes, L., Pinto, H.S. (eds.) EPIA 2011. LNCS, vol. 7026, pp. 624–633. Springer, Heidelberg (2011) CrossRef
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Kavitha, K.M., Gomes, L., Lopes, J.G.P.: Bilingually motivated segmentation and generation of word translations using relatively small translation data sets. In: Proceedings of the PACLIC29 (Accepted) (2015)
Metadata
Title
Learning Clusters of Bilingual Suffixes Using Bilingual Translation Lexicon
Authors
K. M. Kavitha
Luís Gomes
José Gabriel P. Lopes
Copyright Year
2015
Book
Mining Intelligence and Knowledge Exploration

Print ISBN: 978-3-319-26831-6

Electronic ISBN: 978-3-319-26832-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26832-3_57

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