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2015 | OriginalPaper | Buchkapitel

Learning Clusters of Bilingual Suffixes Using Bilingual Translation Lexicon

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

Erschienen in: Mining Intelligence and Knowledge Exploration

Verlag: 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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Fußnoten
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.
 
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Metadaten
Titel
Learning Clusters of Bilingual Suffixes Using Bilingual Translation Lexicon
verfasst von
K. M. Kavitha
Luís Gomes
José Gabriel P. Lopes
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-26832-3_57

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