Arabictagger

Latest version: v0.1.1

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0.1.7b1

0.1.2b3

Padding tags don't get masked by the transformer, to fix this problem I edited the embedding function to give padding tags zero embeddings.

0.1.2b2

0.1.1

first non-pre-released version

0.1.1b3

A new Layer Encoder-Transformer was built to solve tagging problems.

0.1.1b2

New beta version b2 adds a new module TextMatcher designed to address a common problem in Arabic NLP called orthographic or spelling variation which is a challenge for information retrieval in Arabic. Many approaches exist to address this, and in the ArabicTagger package, I approached the problem with a learnable weighted similarity(cosine similarity). For more information see the GitHub readme

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