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20182022
most citedAutomatic Language Identification System for Hindi and Magahi

3 citations · 9 across the 6 of their papers we have counts for

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cs.CL2022★ 1 cited

An Overview of Indian Language Datasets used for Text Summarization

Shagun Sinha, Girish Nath Jha

In this paper, we survey Text Summarization (TS) datasets in Indian Languages (ILs), which are also low-resource languages (LRLs). We seek to answer one primary question: is the po…

cs.CL2021★ 2 cited

Prosody Labelled Dataset for Hindi using Semi-Automated Approach

Esha Banerjee, Atul Kr. Ojha, Girish Nath Jha

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 buildi…

cs.CL2021

Translating Politeness Across Cultures: Case of Hindi and English

Ritesh Kumar, Girish Nath Jha

In this paper, we present a corpus based study of politeness across two languages-English and Hindi. It studies the politeness in a translated parallel corpus of Hindi and English…

cs.CL2021

Creating and Managing a large annotated parallel corpora of Indian languages

Ritesh Kumar, Shiv Bhusan Kaushik, Pinkey Nainwani +1

This paper presents the challenges in creating and managing large parallel corpora of 12 major Indian languages (which is soon to be extended to 23 languages) as part of a major co…

cs.CL2018★ 3 cited

Demo of Sanskrit-Hindi SMT System

Rajneesh Pandey, Atul Kr. Ojha, Girish Nath Jha

The demo proposal presents a Phrase-based Sanskrit-Hindi (SaHiT) Statistical Machine Translation system. The system has been developed on Moses. 43k sentences of Sanskrit-Hindi par…

cs.CL2018★ 3 cited

Automatic Language Identification System for Hindi and Magahi

Priya Rani, Atul Kr. Ojha, Girish Nath Jha

Language identification has become a prerequisite for all kinds of automated text processing systems. In this paper, we present a rule-based language identifier tool for two closel…