Search Results for "table"

Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing...

...Different types of tag markers can be incorporated e.g. grammatical, functional, semantic, linguistic markers.Tag-sets can be configured (modified/extended) by accessing the related table in the supporting database, The user can upload text files where sentences are normalized and inserted into the supporting database. Multiple narratives can be listed in the text file, where narratives are separated using a # symbol. The text upload process entitles the initial (POS) tagging of uploaded text using Stanford (POS) tagger. ...

...Our approach is based on modelling a very large set of Arabic morphological rules, and also on integrating linguistic resources, such as the root database, vocalized patterns associated with roots, and proclitic and enclitic tables. As an output of the analysis, we have a highly informative table mainly containing vocalization of the stem, its grammatical category, its possible roots associated with corresponding patterns, proclitics and enclitics. A new version is available on the following link: http://oujda-nlp-team.net/?p=1299&lang=en How to cite the project: Boudlal, A., Lakhouaja, A., Mazroui, A., Meziane, A., Bebah, M. ...