The topics include, but are not limited to the following:

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• Morphological analysis.

• Tokenization, segmentation, chunking, parsing, etc.

• Part-of-speech tagging.

• Stemming.

• Information retrieval and extraction.

• Text mining.

• Big data analytics.

• ANLP interoperability.

• Social media analysis.

• Named Entity Recognition.

• Word Sense Disambiguation.

• Keyword extraction.

• Text summarization and compression.

• Authorship analysis.

• Event extraction.

• Semantic role labeling.

• Sentiment analysis and opinion mining.

• Topic modelling.

• Language and dialect modeling.

• Automatic machine translation.

• Speech recognition.

• Speech synthesis

• Speaker identification.

• Acoustic modelling.

• Phonetic dictionaries

• Optical character recognition.

• Pedagogy.

• Assistive technologies.

• ANLP (annotated) resources such as dictionaries, thesauri, lexicons, ontologies, datasets, etc.

• Commercial applications of ANLP.

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Submissions must address issues related to the processing of Arabic data in any of its versions (classic, Quranic, modern standard, dialectal, etc.) and any of its formats (text, audio, multimodality, etc.). Authors must consider reproducibility issues. I.e., they must provide enough details about their work such that other researchers are able to repeat their experiments and reproduce the same results. This is of special importance for both work-in-progress and commercial applications.