BERT - Tagalog - Base - Cased Open - Source Model: Driving the Development of the Philippine Natural Language Processing Community

Bert Tagalog Base Cased

Developed by jcblaise

A Tagalog BERT model trained on large-scale preprocessed text corpora to promote the development of the Filipino natural language processing community.

Large Language Model OtherOpen Source License:Gpl-3.0 #Filipino language processing #Low-resource language optimization #Text classification benchmark

Downloads 74

Release Time : 3/2/2022

Model Overview

This is a BERT model specifically trained for Tagalog (Filipino), suitable for various natural language processing tasks.

Model Features

Large-scale corpus training

Trained on large-scale preprocessed text corpora collected and organized from the internet

Specialized for Tagalog

A BERT model specifically optimized for Tagalog, the primary language of the Philippines

Case-sensitive

The model is case-sensitive, suitable for application scenarios requiring case information retention

Model Capabilities

Text classification

Language understanding

Text feature extraction

Use Cases

Academic research

Low-resource language research

Used for studying natural language processing techniques for low-resource languages

Related research has been published on arXiv

Text processing

Tagalog text analysis

Used for processing and analyzing Tagalog text content

Property	Details
Training Data	Data used to train this model as well as other benchmark datasets in Filipino can be found in my website at https://blaisecruz.com

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Bert Tagalog Base Cased

Model Overview

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