A survey of current datasets for code-switching research
N Jose, BR Chakravarthi… - 2020 6th …, 2020 - ieeexplore.ieee.org
Code switching is a prevalent phenomenon in the multilingual community and social media
interaction. In the past ten years, we have witnessed an explosion of code switched data in …
interaction. In the past ten years, we have witnessed an explosion of code switched data in …
Named entity recognition for code-mixed Indian corpus using meta embedding
R Priyadharshini, BR Chakravarthi… - 2020 6th …, 2020 - ieeexplore.ieee.org
In this paper, we utilize the pre-trained embedding, sub-word embedding and closely related
languages of languages in the code mixed corpus to create a meta-embedding. We then …
languages of languages in the code mixed corpus to create a meta-embedding. We then …
Comparison of pretrained embeddings to identify hate speech in Indian code-mixed text
S Banerjee, BR Chakravarthi… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Two or more languages used in the same sentence is known as the code-mixed text. The
phenomenon is abundant in social media due to multilingualism. It poses a considerable …
phenomenon is abundant in social media due to multilingualism. It poses a considerable …
[PDF][PDF] Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix.
BR Chakravarthi, Anand Kumar M, JP McCrae… - FIRE (Working …, 2020 - ceur-ws.org
We present the results and main findings of the HASOC-Offensive Language Identification
on code mixed Dravidian languages. The task featured two tasks. Task 1 is about offensive …
on code mixed Dravidian languages. The task featured two tasks. Task 1 is about offensive …
A survey of orthographic information in machine translation
Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …
has been explored in different languages. Recently researchers started paying attention …
A study of machine translation models for Kannada-Tulu
A Hegde, HL Shashirekha, AK Madasamy… - Congress on Intelligent …, 2022 - Springer
Over the past ten years, neural machine translation (NMT) has seen tremendous growth and
is now entering a phase of maturity. Despite being the most popular solution for machine …
is now entering a phase of maturity. Despite being the most popular solution for machine …
NUIG-Shubhanker@ Dravidian-CodeMix-FIRE2020: sentiment analysis of code-mixed dravidian text using XLNet
Social media has penetrated into multilingual societies, however most of them use English
to be a preferred language for communication. So it looks natural for them to mix their …
to be a preferred language for communication. So it looks natural for them to mix their …
Multimodal Machine Translation Approaches for Indian Languages: A Comprehensive Survey.
Multimodal machine translation (MMT) is a challenging task in the linguistically diverse
Indian landscape. Machine translation refers to the task of automatically converting content …
Indian landscape. Machine translation refers to the task of automatically converting content …
Mucs@-machine translation for dravidian languages using stacked long short term memory
Dravidian language family is one of the largest language families in the world. In spite of its
uniqueness, Dravidian languages have gained very less attention due to scarcity of …
uniqueness, Dravidian languages have gained very less attention due to scarcity of …
Attentive fine-tuning of Transformers for Translation of low-resourced languages@ LoResMT 2021
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the
English-> Marathi and English-> Irish language pairs LoResMT 2021 shared task. The task …
English-> Marathi and English-> Irish language pairs LoResMT 2021 shared task. The task …