BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)
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https://heidata.uni-heidelberg.de/citation?persistentId=doi:10.11588/DATA/V9CXPR
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资源简介：
BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).
In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages better
than alternative subword approaches, while requiring vastly fewer resources and no tokenization.
提供机构：
heiDATA
创建时间：
2019-02-06
