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)

An Arabic Tweet Dialect Classifier

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

Twitter Dialect Datasets and Classifiers (EG Arabic Corpus)

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