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Training Cross-Lingual embeddings for Setswana and Sepedi

Domaine:

natural language processing

Type de record:

paper
African languages still lag in the advances of Natural Language Processing techniques, one reason being the lack of representative data, having a technique that can transfer information between languages can help mitigate against the lack of data problem. This paper trains Setswana and Sepedi monolingual word vectors and uses VecMap to create cross-lingual embeddings for Setswana-Sepedi in order to do a cross-lingual transfer.

Visit

arxiv.orgupjournals.up.ac.za

Tasks

embeddings

Languages

SetswanaSotho, Northern

Tags

rail

Licenses

CC-BY-4.0

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