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[Project] Model Based Byte Pair Encoding

https://medium.com/@patry.nicolas/model-based-bpe-encodings-dd664c959a90

Summary : Idea to generate Byte pair encodings, not based on frequency in the dataset, but on the quality of the prediction of our model. This enables us to predict multi word tokens like “New York” and address languages that don’t use spaces to split words.

Author here : I’m not a researcher, and could not find any paper related to that idea, if you know about any research in that direction please let me know. Or any comments on the post.

submitted by /u/narsilouu
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.