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Found 14 papers, 3 papers with code
A Survey on Paralinguistics in Tamil Speech Processing
Speech carries not only the semantic content but also the paralinguistic information which captures the speaking style.
Hypers@DravidianLangTech-EACL2021: Offensive language identification in Dravidian code-mixed YouTube Comments and Posts
Code-Mixed Offensive contents are used pervasively in social media posts in the last few years.
FlowChroma -- A Deep Recurrent Neural Network for Video Colorization
We develop an automated video colorization framework that minimizes the flickering of colors across frames.
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag
The performance of Neural Machine Translation (NMT) depends significantly on the size of the available parallel corpus.
Adapting the Tesseract Open-Source OCR Engine for Tamil and Sinhala Legacy Fonts and Creating a Parallel Corpus for Tamil-Sinhala-English
Since Tamil and Sinhala are Low-Resource Languages, we improved the performance of Tesseract by employing LSTM-based training on more than 20 legacy fonts to recognize printed characters in these languages.
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
The experimental results showed that ULMFiT is the best model for this task.
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning
Thus, a need arises for a simulated environment where they can predict users' reactions to changes in the platform-specific parameters such as trip fares and incentives.
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets
In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning models.
A Privacy Preserving Data Publishing Middleware for Unstructured, Textual Social Media Data
The next hype of data experimentation is going to be heavily dependent on privacy preserving techniques mainly as it{'}s going to be a legal responsibility rather than a mere social responsibility.
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages
Current state-of-the-art speech-based user interfaces use data intense methodologies to recognize free-form speech commands.
Concept Discovery through Information Extraction in Restaurant Domain
Concept identification is a crucial step in understanding and building a knowledge base for any particular domain.
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning
This paper describes an approach to solve implicit emotion classification with the use of pre-trained word embedding models to train multiple neural networks.
