Overview of the track on sentiment analysis for dravidian languages in code-mixed text
BR Chakravarthi, R Priyadharshini… - Proceedings of the 12th …, 2020 - dl.acm.org
Sentiment analysis of Dravidian languages has received attention in recent years. However,
most social media text is code-mixed and there is no research available on sentiment …
most social media text is code-mixed and there is no research available on sentiment …
Detection of hate speech text in Hindi-English code-mixed data
Social media sites like Twitter, Facebook, being user-friendly and a free source, provide
opportunities to people to air their voice. People, irrespective of the age group, use these …
opportunities to people to air their voice. People, irrespective of the age group, use these …
Overview of shared-task on abusive comment detection in tamil and telugu
R Priyadharshini, BR Chakravarthi… - Proceedings of the …, 2023 - aclanthology.org
This paper discusses the submissions to the shared task on abusive comment detection in
Tamil and Telugu codemixed social media text conducted as part of the third Workshop on …
Tamil and Telugu codemixed social media text conducted as part of the third Workshop on …
Sustainable performance of a modular building system made of built-up cold-formed steel beams
Modular Building Systems (MBS) offer numerous benefits in terms of productivity,
sustainability and safety. Therefore, MBSs are considered as a viable option to sort out the …
sustainability and safety. Therefore, MBSs are considered as a viable option to sort out the …
Investigating the efficiency of deep learning models in bioinspired object detection
Object detection is the process of using a camera to track an object or a group of objects
over time. It has numerous applications like human-computer interactions (HCI), security and …
over time. It has numerous applications like human-computer interactions (HCI), security and …
American sign language recognition for alphabets using MediaPipe and LSTM
B Sundar, T Bagyammal - Procedia Computer Science, 2022 - Elsevier
With the advancement of today's technologies in artificial intelligence, humans tend to use
hand gestures in their communication to convey their ideas. Gesture recognition is an active …
hand gestures in their communication to convey their ideas. Gesture recognition is an active …
ThamizhiMorph: A morphological parser for the Tamil language
This paper presents an open source and extendable Morphological Analyser cum Generator
(MAG) for Tamil named Thamizhi Morph. Tamil is a low-resource language in terms of NLP …
(MAG) for Tamil named Thamizhi Morph. Tamil is a low-resource language in terms of NLP …
Deep learning approach for the morphological synthesis in Malayalam and Tamil at the character level
B Premjith, KP Soman - Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
Morphological synthesis is one of the main components of Machine Translation (MT)
frameworks, especially when any one or both of the source and target languages are …
frameworks, especially when any one or both of the source and target languages are …
A multi-dimensional framework for characterizing the role of writing system variation in literacy learning: A case study in Malayalam
N Vasudevan, M Haridas, P Nedungadi, R Raman… - Reading and …, 2024 - Springer
Most children across the world learn to read and write in non-alphabetic orthographies such
as abjads (eg, Arabic), abugidas (eg, Ethiopic Ge'ez), and morphosyllabaries (eg, Chinese) …
as abjads (eg, Arabic), abugidas (eg, Ethiopic Ge'ez), and morphosyllabaries (eg, Chinese) …
Analysis of contextual and non-contextual word embedding models for Hindi ner with web application for data collection
Abstract Named Entity Recognition (NER) is the process of taking a string and identifying
relevant proper nouns in it. In this paper (All codes and datasets used in this paper are …
relevant proper nouns in it. In this paper (All codes and datasets used in this paper are …