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Litlat Bert
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Litlat Bert
Developed by EMBEDDIA
LitLat BERT is a trilingual model based on the xlm-roberta-base architecture, focusing on Lithuanian, Latvian, and English performance.
Large Language Model
Transformers Supports Multiple Languages#Trilingual NLP#Cross-lingual Transfer#Named Entity Recognition
Transformers Downloads 937
Release Time : 3/2/2022
Model Overview
LitLat BERT is a multilingual model specializing in tasks like named entity recognition for Lithuanian, Latvian, and English, outperforming both multilingual BERT and monolingual models.
Model Features
Multilingual Support
Supports processing in three languages: Lithuanian, Latvian, and English.
Cross-lingual Knowledge Transfer
Retains cross-lingual knowledge transfer capabilities, outperforming monolingual models.
High Performance
Excels in named entity recognition tasks, surpassing both multilingual BERT and monolingual models.
Model Capabilities
Named Entity Recognition
Multilingual Text Processing
Use Cases
Natural Language Processing
Named Entity Recognition
Identifies entities such as persons, locations, and organizations in text.
Demonstrates outstanding performance in named entity recognition tasks for Latvian, Lithuanian, and English.
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