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?
The original algorithm operates by iteratively replacing the most common contiguous sequences of characters in a target text with unused 'placeholder' bytes. The iteration ends when no sequences can be found, leaving the target text effectively compressed.
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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