A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)

This repository contains the Arabic sarcasm dataset (ArSarcasm)

Dialect identification using Siamese network

The first Dialectal Arabic Code Switching - DACS corpus from broadcast speech. Annotated at the token-level, considering both the linguistic and the acoustic cues. This dataset is a potential benchmark for DCS in spontaneous speech.

ArSarcasm-v2 is an extension to the original ArSarcasm dataset. It was used for the shared task on sarcasm detection and sentiment analysis, which is a part of WANLP 2021.

Language and Speech Technology for Central Kurdish Varieties (LREC-COLING 2024)

Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek

VarDial19 shared task: Discriminating between Mainland and Taiwan Variation of Mandarin Chinese (DMT)

A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.

Ríomhchlár a dhéanann aicmiú staitistiúil ar théacsanna Gaeilge de réir a gcanúint

Arabic_Dialect_Identification_NLP-AIM-Task

using AraBert to classify different Arabic dialects. ranked fourth in WANLP2020 workshop.

Twitter Dialect Datasets and Classifiers (GULF Arabic Corpus)

Twitter Dialect Datasets and Classifiers (EG + GULF Arabic Corpus)

An Arabic Tweet Dialect Classifier

Twitter Dialect Datasets and Classifiers (EG Arabic Corpus)

Web interface for far-speech demo to be present in INTERSPEECH 2019