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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10456915" target="_blank" >RIV/00216208:11320/22:10456915 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2022.lrec-1.694/" target="_blank" >https://aclanthology.org/2022.lrec-1.694/</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

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

Original language description

Multi-modal Machine Translation (MMT) enables the use of visual information to enhance the quality of translations. The visual information can serve as a valuable piece of context information to decrease the ambiguity of input sentences. Despite the increasing popularity of such a technique, good and sizeable datasets are scarce, limiting the full extent of their potential. Hausa, a Chadic language, is a member of the Afro-Asiatic language family. It is estimated that about 100 to 150 million people speak the language, with more than 80 million indigenous speakers. This is more than any of the other Chadic languages. Despite a large number of speakers, the Hausa language is considered low-resource in natural language processing (NLP). This is due to the absence of sufficient resources to implement most NLP tasks. While some datasets exist, they are either scarce, machine-generated, or in the religious domain. Therefore, there is a need to create training and evaluation data for implementing machine le

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

ISBN

979-10-95546-72-6

ISSN

—

e-ISSN

—

Number of pages

9

Pages from-to

6471-6479

Publisher name

European Language Resources Association

Place of publication

Marseille, France

Event location

Marseille, France

Event date

Jun 20, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—