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Language Identification

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 431–440 of 794 papers

Title	Date	Tasks	Status	Hype
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo	Jun 1, 2019	Language Identification	—Unverified	0
The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification	Jun 1, 2019	Language Identification	—Unverified	0
NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers	Jun 1, 2019	General ClassificationLanguage Identification	—Unverified	0
HAD-T\"ubingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization	Jun 1, 2019	Language Identification	—Unverified	0
JU\_ETCE\_17\_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets	Jun 1, 2019	Language IdentificationWord Embeddings	CodeCode Available	0
Typological Features for Multilingual Delexicalised Dependency Parsing	Jun 1, 2019	Dependency ParsingLanguage Identification	—Unverified	0
Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches	Jun 1, 2019	Data AugmentationLanguage Identification	—Unverified	0
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets	Jun 1, 2019	General ClassificationLanguage Identification	—Unverified	0
CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention	Jun 1, 2019	Language Identification	—Unverified	0
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches	Jun 1, 2019	Language IdentificationTransfer Learning	CodeCode Available	0

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All datasets VOXLINGUA107 GlotLID-C Nordic Language Identification OpenSubtitles Universal Dependencies VoxForge

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	wav2vec 2.0 LV-60K	Error rate	7.2	—	Unverified
2	XLS-R	Error rate	5.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GlotLID	Macro F1	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FastText	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Apple bi-LSTM	Accuracy	91.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Apple bi-LSTM	Accuracy	86.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConformerG-P	Accuracy	99.8	—	Unverified