Abstract
This paper proposes a hybrid possibilistic approach for bilingual terminology extraction using possibility and necessity measures. On the one hand, we extract domain-relevant terms from the source language, and on the other hand, we build a co-occurrence-based translation graph, which is mined to translate terms in the target language. We compare our approach with different state-of-the art approaches. Experimental results show that the possibilistic approach reaches better results in terms of Recall, Precision and Mean Average Precision (MAP). The differences between the compared approaches show that our contribution is significant in terms of p-value.
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Notes
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In parallel corpora, documents are translated sentence-by- sentence.
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In comparable corpora, documents are dealing with same topics and subjects.
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Lahbib, W., Bounhas, I., Slimani, Y. (2018). A Possibilistic Approach for Arabic Domain Terminology Extraction and Translation. In: Czachórski, T., Gelenbe, E., Grochla, K., Lent, R. (eds) Computer and Information Sciences. ISCIS 2018. Communications in Computer and Information Science, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-00840-6_25
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