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Found 31 papers, 4 papers with code
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector
This method allows predictive coding methods to be rapidly developed for new regulations and markets.
KMI-Panlingua-IITKGP @SIGTYP2020: Exploring rules and hybrid systems for automatic prediction of typological features
This paper enumerates SigTyP 2020 Shared Task on the prediction of typological features as performed by the KMI-Panlingua-IITKGP team.
Bengali and Magahi PUD Treebank and Parser
A preliminary set of sentences was annotated manually - 600 for Bengali and 200 for Magahi.
Towards Classification of Legal Pharmaceutical Text using GAN-BERT
Pharmaceutical text classification is an important area of research for commercial and research institutions working in the pharmaceutical domain.
Developing Universal Dependencies Treebanks for Magahi and Braj
In this paper, we discuss the development of treebanks for two low-resourced Indian languages - Magahi and Braj - based on the Universal Dependencies framework.
Prosody Labelled Dataset for Hindi
This study aims to develop an intonation labelled database for Hindi, for enhancing prosody in ASR and TTS systems, which is also helpful for building Speech to Speech Machine Translation systems.
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages
This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages.
ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021
Social media platforms such as Twitter and Facebook have been utilised for various research studies, from the cohort-level discussion to community-driven approaches to address the challenges in utilizing social media data for health, clinical and biomedical information.
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020
NUIG-Panlingua-KMI submission to WMT 2020 seeks to push the state-of-the-art in Similar Language Translation Task for Hindi↔Marathi language pair.
Are Large Language Models Actually Good at Text Style Transfer?
We analyze the performance of large language models (LLMs) on Text Style Transfer (TST), specifically focusing on sentiment transfer and text detoxification across three languages: English, Hindi, and Bengali.
Multilingual Text Style Transfer: Datasets & Models for Indian Languages
Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content.
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
Large Language Models are transforming NLP for a variety of tasks.
Text Detoxification as Style Transfer in English and Hindi
This task contributes to safer and more respectful online communication and can be considered a Text Style Transfer (TST) task, where the text style changes while its content is preserved.
Empirical Analysis of Oral and Nasal Vowels of Konkani
Konkani is a highly nasalised language which makes it unique among Indo-Aryan languages.
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi
In this paper we discuss an in-progress work on the development of a speech corpus for four low-resource Indo-Aryan languages -- Awadhi, Bhojpuri, Braj and Magahi using the field methods of linguistic data collection.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Universal Dependency Treebank for Odia Language
This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language.
Developing Universal Dependency Treebanks for Magahi and Braj
In this paper, we discuss the development of treebanks for two low-resourced Indian languages - Magahi and Braj based on the Universal Dependencies framework.
Aggression in Hindi and English Speech: Acoustic Correlates and Automatic Identification
The study is based on a corpus of slightly over 10 hours of political discourse and includes debates on news channel and political speeches.
Prosody Labelled Dataset for Hindi using Semi-Automated Approach
This study aims to develop a semi-automatically labelled prosody database for Hindi, for enhancing the intonation component in ASR and TTS systems, which is also helpful for building Speech to Speech Machine Translation systems.
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
Maximum system performance was computed using BLEU and follow as 36. 0 for English--Irish, 34. 6 for Irish--English, 24. 2 for English--Marathi, and 31. 3 for Marathi--English.
Universal Dependency Treebanks for Low-Resource Indian Languages: The Case of Bhojpuri
This paper presents the first dependency treebank for Bhojpuri, a resource-poor language that belongs to the Indo-Aryan language family.
Evaluating Aggression Identification in Social Media
The task consisted of two sub-tasks - aggression identification (sub-task A) and gendered identification (sub-task B) - in three languages - Bangla, Hindi and English.
Developing a Multilingual Annotated Corpus of Misogyny and Aggression
In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project).
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019
The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task.
KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection
In this paper, we present the system description of Offensive language detection tool which is developed by the KMI{\_}Coling under the OffensEval Shared task.
English-Bhojpuri SMT System: Insights from the Karaka Model
It also discusses the impacts of the Karaka model in NLP and dependency parsing.
The RGNLP Machine Translation Systems for WAT 2018
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task.
Benchmarking Aggression Identification in Social Media
For this task, the participants were provided with a dataset of 15, 000 aggression-annotated Facebook Posts and Comments each in Hindi (in both Roman and Devanagari script) and English for training and validation.
Demo of Sanskrit-Hindi SMT System
The demo proposal presents a Phrase-based Sanskrit-Hindi (SaHiT) Statistical Machine Translation system.
Automatic Language Identification System for Hindi and Magahi
Language identification has become a prerequisite for all kinds of automated text processing systems.
Automatic Identification of Closely-related Indian Languages: Resources and Experiments
In this paper, we discuss an attempt to develop an automatic language identification system for 5 closely-related Indo-Aryan languages of India, Awadhi, Bhojpuri, Braj, Hindi and Magahi.
