SOTAVerified

Language Identification

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

Papers

Showing 751775 of 794 papers

TitleStatusHype
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social MediaCode0
Tuplemax Loss for Language IdentificationCode0
Towards Ethical Content-Based Detection of Online Influence CampaignsCode0
On the Development of a Large Scale Corpus for Native Language IdentificationCode0
Multilingual Multi-class Sentiment Classification Using Convolutional Neural NetworksCode0
Multilingual Offensive Language Identification with Cross-lingual EmbeddingsCode0
On the End-to-End Solution to Mandarin-English Code-switching Speech RecognitionCode0
End-to-end Language Identification using NetFV and NetVLADCode0
Language Variety Identification with True LabelsCode0
LanideNN: Multilingual Language Identification on Character WindowCode0
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task LearningCode0
On the Language Neutrality of Pre-trained Multilingual RepresentationsCode0
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuningCode0
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language IdentificationCode0
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian LanguagesCode0
indicnlp@ kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian LanguagesCode0
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning ApproachesCode0
TweetCaT: a tool for building Twitter corpora of smaller languagesCode0
Towards Offensive Language Identification for Dravidian LanguagesCode0
Singing Language Identification using a Deep Phonotactic ApproachCode0
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language IdentificationCode0
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and PostsCode0
Investigating model performance in language identification: beyond simple error statisticsCode0
Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and LakiCode0
Code-Switched Language Identification is Harder Than You ThinkCode0
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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