ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model

Raki Lachraf
Raki Lachraf
El Moatez Billah Nagoudi
El Moatez Billah Nagoudi
Youcef Ayachi
Youcef Ayachi

FOURTH ARABIC NATURAL LANGUAGE PROCESSING WORKSHOP (WANLP 2019), pp. 40-48, 2019.

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Abstract:

Word Embeddings (WE) are getting increasingly popular and widely applied in many Natural Language Processing (NLP) applications due to their effectiveness in capturing semantic properties of words; Machine Translation (MT), Information Retrieval (IR) and Information Extraction (IE) are among such areas. In this paper, we propose an open s...More

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