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This project uses a multilingual embedding model to align sentences in one language ( preferably a low-resource language) to their potential paired translation in English. The idea is that if we can crawl documents in both languages online (eg from news sites), we can easily pair up sentences that are translations of each other.

Python 72.74% Jupyter Notebook 27.26%
cohere-ai nlp-apis nlp-machine-learning nlp-parsing parallel-data-analysis

cohere-lingualink's Introduction

Aritra Dutta 👨🏻‍💻 Software Engineer

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Let me introduce myself 🙂 I am Aritra, as you all coding is my hobby and life style. I met coding at the very beginning of my academic career. And now I have about 5 years of Web development and AI/ML devlopment experience. I am currently working at Samsung R&D as a Research Intern. Besides I am a undergraduate at SRMIST. I couldn't spare a lot of time for my personal development due to my busy student life, I think it's time to get more active in Github, follow me 🤘

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