Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation

no code implementations • 21 Jul 2019 • Shantipriya Parida, Ondřej Bojar, Satya Ranjan Dash

We present ``Hindi Visual Genome'', a multimodal dataset consisting of text and images suitable for English-Hindi multimodal machine translation task and multimodal research.

Multimodal Machine Translation Translation

OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation

no code implementations • LREC 2020 • Shantipriya Parida, Satya Ranjan Dash, Ond{\v{r}}ej Bojar, Petr Motlicek, Priyanka Pattnaik, Debasish Kumar Mallick

The preparation of parallel corpora is a challenging task, particularly for languages that suffer from under-representation in the digital world.

Machine Translation NMT +3

Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation

no code implementations • LREC 2022 • Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud, Shantipriya Parida, Shamsuddeen Hassan Muhammad, Ibrahim Sa'id Ahmad, Subhadarshi Panda, Ondřej Bojar, Bashir Shehu Galadanci, Bello Shehu Bello

The Hausa Visual Genome is the first dataset of its kind and can be used for Hausa-English machine translation, multi-modal research, and image description, among various other natural language processing and generation tasks.

Machine Translation Translation

Universal Dependency Treebank for Odia Language

no code implementations • WILDRE (LREC) 2022 • Shantipriya Parida, Kalyanamalini Sahoo, Atul Kr. Ojha, Saraswati Sahoo, Satya Ranjan Dash, Bijayalaxmi Dash

This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language.

BIG-bench Machine Learning Morphological Analysis

NLPHut’s Participation at WAT2021

no code implementations • ACL (WAT) 2021 • Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek, Ondřej Bojar

Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption).

Caption Generation Image Captioning +1

Multimodal Neural Machine Translation System for English to Bengali

no code implementations • MMTLRL (RANLP) 2021 • Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash, Petr Motlicek

Multimodal Machine Translation (MMT) systems utilize additional information from other modalities beyond text to improve the quality of machine translation (MT).

Multimodal Machine Translation Translation

ODIANLP’s Participation in WAT2020

no code implementations • AACL (WAT) 2020 • Shantipriya Parida, Petr Motlicek, Amulya Ratna Dash, Satya Ranjan Dash, Debasish Kumar Mallick, Satya Prakash Biswal, Priyanka Pattnaik, Biranchi Narayan Nayak, Ondřej Bojar

We have participated in the English-Hindi Multimodal task and Indic task.

Hindi Image Captioning Translation