v0.1.1

first non-pre-released version

fix padding tags don't get masked by encoder

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

v0.1.1b3

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

fix some bugs in the previous release

Update setup.py

edit the version of the new release

new beta version that adds another module Textmatcher

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

new version

Update python-package.yml

change ubuntu version