Search Results for author:
Found 10 papers, 0 papers with code
NMT based Similar Language Translation for Hindi - Marathi
This paper describes the participation of team F1toF6 (LTRC, IIIT-Hyderabad) for the WMT 2020 task, similar language translation.
Low Resource Similar Language Neural Machine Translation for Tamil-Telugu
This paper describes the participation of team oneNLP (LTRC, IIIT-Hyderabad) for the WMT 2021 task, similar language translation.
English-Marathi Neural Machine Translation for LoResMT 2021
In this paper, we (team - oneNLP-IIITH) describe our Neural Machine Translation approaches for English-Marathi (both direction) for LoResMT-20211 .
The LTRC Hindi-Telugu Parallel Corpus
We present the Hindi-Telugu Parallel Corpus of different technical domains such as Natural Science, Computer Science, Law and Healthcare along with the General domain.
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation
In this paper, we present a novel approachfor domain adaptation in Neural MachineTranslation which aims to improve thetranslation quality over a new domain. Adapting new domains is a highly challeng-ing task for Neural Machine Translation onlimited data, it becomes even more diffi-cult for technical domains such as Chem-istry and Artificial Intelligence due to spe-cific terminology, etc.
Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages
We constructed a translation evaluation task where we performed zero-shot learning, in-context example-driven learning, and fine-tuning of large language models to provide a score out of 100, where 100 represents a perfect translation and 1 represents a poor translation.
Automatic Data Retrieval for Cross Lingual Summarization
We analyze the data and propose methods to match articles to video descriptions that serve as document and summary pairs.
Assessing Translation capabilities of Large Language Models involving English and Indian Languages
In this work, our aim is to explore the multilingual capabilities of large language models by using machine translation as a task involving English and 22 Indian languages.
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation into the target language, chunking of text using target language rhythm, text-to-speech synthesis followed by isochronous lipsyncing to the original video.
Assessing Post-editing Effort in the English-Hindi Direction
We present findings from a first in-depth post-editing effort estimation study in the English-Hindi direction along multiple effort indicators.
