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Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora

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Academic year: 2020

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Figure

Table 1 shows the number of content words (#content words) for each corpus.
Table 2: Results (MAP %) of word2vec using the Skip-gram model (noted SG), the Continuous Bag ofWords model (noted CBOW) and the concatenation of both models (noted Concat)
Table 3: Results (MAP %) of word2vec using different mapping techniques.

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