Subword Segmentation

Byte Pair Encoding

Introduced by Sennrich et al. in Neural Machine Translation of Rare Words with Subword Units

Byte Pair Encoding, or BPE, is a subword segmentation algorithm that encodes rare and unknown words as sequences of subword units. The intuition is that various word classes are translatable via smaller units than words, for instance names (via character copying or transliteration), compounds (via compositional translation), and cognates and loanwords (via phonological and morphological transformations).

Lei Mao has a detailed blog post that explains how this works.

Source: Neural Machine Translation of Rare Words with Subword Units

Papers


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Tasks


Task Papers Share
Language Modelling 65 8.13%
Large Language Model 35 4.38%
Retrieval 33 4.13%
Question Answering 27 3.38%
Sentence 20 2.50%
In-Context Learning 19 2.38%
Semantic Segmentation 16 2.00%
Machine Translation 14 1.75%
Text Generation 13 1.63%

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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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