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JUNLP@ICON2020: Low Resourced Machine Translation for Indic Languages
In the current work, we present the description of the systems submitted to a machine translation shared task organized by ICON 2020: 17th International Conference on Natural Language Processing.
Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags
In this work, we take up a similar challenge of developing a sentiment analysis model that can work with English-Tamil code-mixed data.
Classification of COVID19 tweets using Machine Learning Approaches
The steps for pre-processing tweets, feature extraction, and the development of the machine learning models, are described extensively in the documentation.
JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation
This linguistic phenomenon poses a great challenge to conventional NLP domains such as Sentiment Analysis, Machine Translation, and Text Summarization, to name a few.
BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora
A Statistical Machine Translation (SMT) system is always trained using large parallel corpus to produce effective translation.
