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

## TL;DR

This paper introduces Hindi Visual Genome, a novel multimodal dataset linking images with English and Hindi text, designed to advance English-Hindi multimodal machine translation and related research.

## Contribution

It presents the first multimodal English-Hindi dataset with images and translated captions, including a challenge set for disambiguation, enabling new research and practical applications.

## Key findings

- First multimodal dataset for English-Hindi translation
- Includes a challenge set for ambiguous word resolution
- Supports development of Hindi image labelers

## Abstract

Visual Genome is a dataset connecting structured image information with English language. We present ``Hindi Visual Genome'', a multimodal dataset consisting of text and images suitable for English-Hindi multimodal machine translation task and multimodal research. We have selected short English segments (captions) from Visual Genome along with associated images and automatically translated them to Hindi with manual post-editing which took the associated images into account. We prepared a set of 31525 segments, accompanied by a challenge test set of 1400 segments. This challenge test set was created by searching for (particularly) ambiguous English words based on the embedding similarity and manually selecting those where the image helps to resolve the ambiguity. Our dataset is the first for multimodal English-Hindi machine translation, freely available for non-commercial research purposes. Our Hindi version of Visual Genome also allows to create Hindi image labelers or other practical tools. Hindi Visual Genome also serves in Workshop on Asian Translation (WAT) 2019 Multi-Modal Translation Task.