Streamlining Japanese-English Translation with Advanced Preprocessing and Integrated Translation Technologies
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Updated
Oct 10, 2024 - Python
Streamlining Japanese-English Translation with Advanced Preprocessing and Integrated Translation Technologies
The Dataset and the dialect identification problem were addressed by Qatar Computing Research Institute. I implemented a data-scraper, data-preprocessor (Regex and NLTK), data-modeling (SVM with TF-IDF and MarBert using HuggingFace) and deployment using FlaskAPIs locally.
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Web application for detecting and translating different languages around the globe.
This repository contains the NLP Preprocessing techniques and state-of-the-art NLP Models
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This repository contains code for preprocessing natural language data for use in NLP applications.
NLP pipeline based on Spacy and Gensim for topic modeling preprocessing in English and Spanish.
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