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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

An Automatic Approach for WordNet Enrichment Applied to Arabic WordNet

verfasst von : Mohamed Seghir Hadj Ameur, Ahlem Chérifa Khadir, Ahmed Guessoum

Erschienen in: Arabic Language Processing: From Theory to Practice

Verlag: Springer International Publishing

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Abstract

This paper introduces an automatic method to extend existing WordNets via machine translation. Our proposal relies on the hierarchical skeleton of the English Princeton WordNet (PWN) as a backbone to extend their taxonomies. Our proposal is applied to the Arabic WordNet (AWN) to enrich it by adding new synsets, and also by providing vocalizations and usage examples for each inserted lemma. Around 12000 new potential synsets can be added to AWN with a precision of at least \(93\%\). As such the coverage of AWN in terms of synsets can be increased from 11269 to around 24000 a very promising achievement on the path of enriching the Arabic WordNet.

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Nächstes Kapitel Word Embedding-Based Approaches for Measuring Semantic Similarity of Arabic-English Sentences
Fußnoten
2
The version of AWN used in this work is available in this link http://​globalwordnet.​org/​arabic-wordnet/​awn-browse/​.
 
3
A lemma is said to be non-ambiguous if it appears in only one synset; it is considered ambiguous otherwise.
 
7
The vocalization toolkit is available at https://​github.​com/​Ycfx/​Arabic-Diacritizer under the GNU License.
 
8
We vocalize the entire sentence to obtain a more reliable vocalization since the vocalization model proposed in [22] uses a statistical model which tends to give better results when a wider context is available.
 
9
The WordNet taxonomy is not a strict hierarchy; in other words, a synset in the taxonomy can have multiple parents.
 
12
The code source for fast_alig is publicly available at http://​github.​com/​clab/​fastalign.
 
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Metadaten
Titel
An Automatic Approach for WordNet Enrichment Applied to Arabic WordNet
verfasst von
Mohamed Seghir Hadj Ameur
Ahlem Chérifa Khadir
Ahmed Guessoum
Copyright-Jahr
2018
Buch
Arabic Language Processing: From Theory to Practice

Print ISBN: 978-3-319-73499-6

Electronic ISBN: 978-3-319-73500-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-73500-9_1