Prosody Labelled Dataset for Hindi

no code implementations • SMP (ICON) 2021 • Esha Banerjee, Atul Kr. Ojha, Girish Jha

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.

Machine Translation Translation

Formal Sanskrit Syntax: A Specification for Programming Language

no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • K. Kabi Khanganba, Girish Jha

The specification partly overlaps the ideas of natural language programming, Controlled Natural Language (Kunh, 2013), and Natural Language subset.

Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches

no code implementations • LREC 2020 • Shagun Sinha, Girish Jha

We will evaluate recent approaches and methods used for ATS and argue for the ones to be adopted for Sanskrit prose considering the unique properties of the language.

Abstractive Text Summarization Extractive Text Summarization +2

The IMAGACT4ALL Ontology of Animated Images: Implications for Theoretical and Machine Translation of Action Verbs from English-Indian Languages

no code implementations • WS 2016 • Pitambar Behera, Sharmin Muzaffar, Atul Ku. Ojha, Girish Jha

In this paper, we are presenting the issues and challenges in translating action verbs of Indian languages as target and English as source language by observing the animated images.

Machine Translation Translation

Issues and Challenges in Annotating Urdu Action Verbs on the IMAGACT4ALL Platform

no code implementations • LREC 2016 • Sharmin Muzaffar, Pitambar Behera, Girish Jha

IMAGACT4ALL is an ontology-driven web-based platform developed by the University of Florence for storing action verbs and their inter-relations.

Machine Translation