SOTAVerified

Language Identification

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

Papers

Showing 401425 of 794 papers

TitleStatusHype
Short Text Language Identification for Under Resourced LanguagesCode0
Universal and non-universal text statistics: Clustering coefficient for language identification0
Multilingual Grammar Induction with Continuous Language Identification0
Normalization of Indonesian-English Code-Mixed Twitter Data0
Word-level Embeddings for Cross-Task Transfer Learning in Speech ProcessingCode0
Signal Combination for Language Identification0
Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN0
Spoken Language Identification using ConvNets0
Overview for the Second Shared Task on Language Identification in Code-Switched Data0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Hope Speech Detection: A Computational Analysis of the Voice of Peace0
Topics to Avoid: Demoting Latent Confounds in Text ClassificationCode0
Towards Ethical Content-Based Detection of Online Influence CampaignsCode0
Two-stage Training for Chinese Dialect Recognition0
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition0
Anglicized Words and Misspelled Cognates in Native Language Identification0
Regression or classification? Automated Essay Scoring for Norwegian0
Joint Language Identification of Code-Switching Speech using Attention based E2E Network0
Adversarial Training for Multilingual Acoustic Modeling0
A Report on the Third VarDial Evaluation Campaign0
TwistBytes - Identification of Cuneiform Languages and German Dialects at VarDial 20190
Language Discrimination and Transfer Learning for Similar Languages: Experiments with Feature Combinations and Adaptation0
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT0
NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers0
HAD-T\"ubingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization0
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Benchmark Results

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