All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10456913" target="_blank" >RIV/00216208:11320/21:10456913 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-981-16-6624-7_7" target="_blank" >http://dx.doi.org/10.1007/978-981-16-6624-7_7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-16-6624-7_7" target="_blank" >10.1007/978-981-16-6624-7_7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning

  • Original language description

    Multimodal machine translation (MMT) refers to the extraction of information from more than one modality aiming at performance improvement by utilizing information collected from the modalities other than pure text. The availability of multimodal datasets, particularly for Indian regional languages, is still limited, and thus, there is a need to build such datasets for regional languages to promote the state of MMT research. In this work, we describe the process of creation of the Bengali Visual Genome (BVG) dataset. The BVG is the first multimodal dataset consisting of text and images suitable for English-to-Bengali multimodal machine translation tasks and multimodal research. We also demonstrate the sample use-cases of machine translation and region-specific image captioning using the new BVG dataset. These results can be considered as the baseline for subsequent research.

  • Czech name

  • Czech description

Classification

  • 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)

Result continuities

  • Project

    <a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021)

  • ISBN

    978-981-16-6624-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    63-70

  • Publisher name

    Springer Nature Singapore

  • Place of publication

    Singapore

  • Event location

    Mizoram, India

  • Event date

    Jun 25, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article