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BPEmb is a collection of pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) and trained on Wikipedia. Its intended use is as ...
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Code for the paper: Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation (ACL 2019). Python 6 3.
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Jun 4, 2019 · Supposed I have the embedding of come: import numpy as np from bpemb import BPEmb bpemb_en = BPEmb(lang="en", dim=100, ...
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Feb 12, 2021 · Hi, Thanks for this excellent resource! I've been using BPEmbs in my models since learning about them recently and have found them to work ...
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Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) - bpemb/bpemb/bpemb.py at master · bheinzerling/bpemb.
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Nov 26, 2017 · bheinzerling Could you provide training script?I want to train with my own data.
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Mar 31, 2021 · Here is a link to BPEmb: GitHub - bheinzerling/bpemb: Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) I ...
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Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) - Issues · bheinzerling/bpemb.
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