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Excited to share my work towards improving NLP for low-resource languages: Urdu Word Embeddings, a collection of vector representations of Urdu words trained over more than 140M tokens of raw text.
Paper (LREC 2018): lrec-conf.org/proceedings/lr…
Download: github.com/samarh/urduvec
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