Unsupervised Cross-lingual Word Embedding Representation for English-isiZulu
Derwin Ngomane,
Rooweither Mabuya,
Jade Abbott
et al.
Abstract:In this study, we investigate the effectiveness of using cross-lingual word embeddings for zero-shot transfer learning between a language with an abundant resource, English, and a language with limited resource, isiZulu. IsiZulu is a part of the South African Nguni language family, which is characterised by complex agglutinating morphology. We use VecMap, an open source tool, to obtain cross-lingual word embeddings. To perform an extrinsic evaluation of the effectiveness of the embeddings, we train a news clas… Show more
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