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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People also ask
What is BPE vocabulary?
Byte-Pair Encoding (BPE) is a compression algorithm used in Natural Language Processing (NLP) to represent large vocabulary with a small set of subword units.
How does byte pair encoding work?
Merging lets you represent the corpus with the least number of tokens which is the main goal of the BPE algorithm, that is, compression of data. To merge, BPE looks for the most frequently represented byte pairs. Here, we are considering a character to be the same as a byte.
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 ...
Missing: کانی مارکت? q=
Nov 19, 2018 · BPEmb BPEmb is a collection of pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) and trained on Wikipedia.
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bpemb/bpemb/bpemb.py at master · bheinzerling/bpemb - GitHub
github.com › bheinzerling › bpemb › blob
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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To help you get started, we've selected a few bpemb examples, based on popular ways it is used in public projects. Secure your code as it's written. Use Snyk ...
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