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Exploring Properties of Intralingual and Interlingual Association Measures Visually


Graën, Johannes; Bless, Christof (2017). Exploring Properties of Intralingual and Interlingual Association Measures Visually. In: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Gothenburg, Sweden, 22 May 2017 - 24 May 2017, 314-317.

Abstract

We present an interactive interface to explore the properties of intralingual and interlingual association measures. In conjunction, they can be employed for phraseme identification in word-aligned parallel corpora. The customizable component we built to visualize individual results is capable of showing part-of-speech tags, syntactic dependency relations and word alignments next to the tokens of two corresponding sentences.

Abstract

We present an interactive interface to explore the properties of intralingual and interlingual association measures. In conjunction, they can be employed for phraseme identification in word-aligned parallel corpora. The customizable component we built to visualize individual results is capable of showing part-of-speech tags, syntactic dependency relations and word alignments next to the tokens of two corresponding sentences.

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Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Uncontrolled Keywords:parallel corpus, corpus exploration, corpus association measures, word alignment, phraseme identification
Language:English
Event End Date:24 May 2017
Deposited On:16 May 2017 12:24
Last Modified:16 May 2017 12:25
Publisher:Linköping University Electronic Press, Linköpings universitet
Series Name:Linköping Electronic Conference Proceedings
Number:131
ISSN:1650-3740
ISBN:978-91-7685-601-7
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.ep.liu.se/ecp/article.asp?issue=131&article=045&volume=#

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