Arabic BPE Tokenization Using Google Sentance Piece.

Natural Language Processing is a branch of AI. One of the first steps in any NLP system is language model encoding. The challenge is how to present/encode the words efficiently. Sub-word encoding is very suitable to arabic. For example the word مدرساتهم will not be considered a single token/word, but split into three; مدرس, ات, and هم. This is the basic intuition. This process is done automatically without any rules or preprocessing.

Vocab size: 8000 (32K also available)

Project: https://github.com/tarekeldeeb/arabic_byte_pair_encoding

License: [Waqf v2](https://github.com/ojuba-org/waqf/tree/master/2.0)
{"language": ["ar"], "license": "other"}
ar license:other region:us
TAGS
#ar #license-other #region-us 

Arabic BPE Tokenization Using Google Sentance Piece.

Natural Language Processing is a branch of AI. One of the first steps in any NLP system is language model encoding. The challenge is how to present/encode the words efficiently. Sub-word encoding is very suitable to arabic. For example the word مدرساتهم will not be considered a single token/word, but split into three; مدرس, ات, and هم. This is the basic intuition. This process is done automatically without any rules or preprocessing.

Vocab size: 8000 (32K also available)

Project: URL

License: Waqf v2
TAGS
#ar #license-other #region-us 

TAGS
#ar #license-other #region-us 
