Language and Speech Technology for Central Kurdish Varieties (LREC-COLING 2024)
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Updated
Mar 18, 2024 - Python
Language and Speech Technology for Central Kurdish Varieties (LREC-COLING 2024)
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek
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)
Arabic Dialect Identification on NADI 2020 and QADI datasets
ITDI shared task @ VarDial2022 9th Workshop on NLP for Similar Languages, Varieties and Dialects.
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.
Arabic_Dialect_Identification_NLP-AIM-Task
An Arabic Tweet Dialect Classifier
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.
Arabic Dialects Identification
using AraBert to classify different Arabic dialects. ranked fourth in WANLP2020 workshop.
This repository contains the Arabic sarcasm dataset (ArSarcasm)
Ríomhchlár a dhéanann aicmiú staitistiúil ar théacsanna Gaeilge de réir a gcanúint
Twitter Dialect Datasets and Classifiers (EG Arabic Corpus)
[Interspeech19] Computational Paralinguistics ChallengE (ComParE)
Web interface for far-speech demo to be present in INTERSPEECH 2019
This shared task will be the first to target a large set of dialect labels at the city and country levels. The data for the shared task is created or collected under the Multi-Arabic Dialect Applications and Resources (MADAR) project.
log MFSC based classification of British English dialects from the IViE(Intonational Variation in English) corpus dataset
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