Cebuano Natural Language ToolkitNLP Tool for Cebuano Language with Named Entity Recognition and Part of Speech Tagging
This project is a product of my thesis study during college. The project aims to create a Natural Language Processing tool for the Cebuano language. The tool is able to perform Named Entity Recognition and Part of Speech Tagging for the Cebuano language.
TimelineAug - Dec 2022
TeamJoshua GonzalesGlenn NitudaJ-Adrielle Gustilo
Technology & ToolsGoogle ColabGoogle Cloud PlatformFlaskReact
LanguagePythonJavascript
Sample UsageCode Snippet for Part of Speech Tagging in Cebuano Language in Python using CNLTK Library.
The code snippet above shows how to use the CNLTK library to do Part of Speech Tagging in Cebuano Language. The code snippet is written in Python and uses the CNLTK library to perform the Part of Speech Tagging. The CNLTK library is a Natural Language Processing library for the Cebuano language. The library provides tools for Named Entity Recognition, Part of Speech Tagging, and other NLP tasks for the Cebuano language.
Artificial Intelligence & Cloud Computing Conference 2022Developing a Hybrid Neural Network for Part-Of-Speech Tagging and Named Entity Recognition
OverviewWe journeyed to Osaka, Japan, to present our study at the Artificial Intelligence & Cloud Computing Conference 2022. Despite our lack of experience in Natural Language Processing, our work was recognized internationally. AICCC 2022 was the first to accept our study, allowing us to present to researchers and professors. We received valuable feedback, made connections, and learned from others. This was a significant milestone for us as young students.
Study OverviewAs we advance towards the next industrial revolutions, enabling computers to understand human languages is essential. Significant progress has been made, particularly for languages like English, French, and German, with tools like the Natural Language Toolkit offering invaluable resources for NLP researchers. In the Philippines, efforts focus on enhancing NLP for the Filipino language. This paper introduces a sophisticated hybrid neural network model for POS Tagging and NER tasks, integrating the best features of current architectures, and provides initial experimental results.
