preprint Open access

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

Abstract

We present BPEmb, 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 bet- ter than alternative subword approaches, while requiring vastly fewer resources and no tokenization. BPEmb is available at https://github.com/bheinzerling/bpemb

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Publication details

DOI
10.48550/arxiv.1710.02187
OpenAlex
W2762022354
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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