SOTAVerified

Language Identification

Language identification is the task of determining the language of a text.

Papers

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Showing 101–125 of 794 papers

TitleStatusHype
Automatic Language Identification for Romance Languages using Stop Words and Diacritics—0
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification—0
A Text-to-Text Model for Multilingual Offensive Language Identification—0
AUTOMATIC LANGUAGE IDENTIFICATION USING DEEP NEURAL NETWORKS—0
Amrita_CEN_NLP@DravidianLangTech-EACL2021: Deep Learning-based Offensive Language Identification in Malayalam, Tamil and Kannada—0
Automatic Spoken Language Identification Utilizing Acoustic and Phonetic Speech Information—0
Automatic Spoken Language Identification using a Time-Delay Neural Network—0
Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora—0
Babler - Data Collection from the Web to Support Speech Recognition and Keyword Search—0
Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum—0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification—0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
Accurate Language Identification of Twitter Messages—0
Beware Haters at ComMA@ICON: Sequence and Ensemble Classifiers for Aggression, Gender Bias and Communal Bias Identification in Indian Languages—0
BFCAI at ComMA@ICON 2021: Support Vector Machines for Multilingual Gender Biased and Communal Language Identification—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks—0
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition—0
Bilingual Streaming ASR with Grapheme units and Auxiliary Monolingual Loss—0
BNU-HKBU UIC NLP Team 2 at SemEval-2019 Task 6: Detecting Offensive Language Using BERT model—0
Bootstrapping a historical commodities lexicon with SKOS and DBpedia—0
BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media—0
BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media—0
bs,hr,srWaC - Web Corpora of Bosnian, Croatian and Serbian—0
Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training—0
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All datasetsVOXLINGUA107GlotLID-CNordic Language IdentificationOpenSubtitlesUniversal DependenciesVoxForge

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1wav2vec 2.0 LV-60KError rate7.2—Unverified
2XLS-RError rate5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1GlotLIDMacro F10.98—Unverified
#ModelMetricClaimedVerifiedStatus
1FastTextAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1Apple bi-LSTMAccuracy91.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Apple bi-LSTMAccuracy86.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerG-PAccuracy99.8—Unverified