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OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task

Domaine:

natural language processing

Type de record:

paper
Créateur:
AssJENPar
Éditeur:
Und
Hôte:avatar
This paper covers the system description of the team “ODIAGEN’s” submission to the 11th Workshop on Asian Translation (WAT 2024). We participated in the English-to-LowRes Multimodal Translation Task, in two of the tasks, i.e. Textonly Translation and Multi-modal Translation. For Text-only Translation, we trained the Mistral-7B model for English to Multi-lingual (Hindi, Bengali, Malayalam, Hausa). For Multi-modal Translation (using both image and text), we trained the PaliGemma-3B model for English to Hindi translation.

Tasks

machine translation

Languages

Hausa

Tags

Computational LinguisticsNatural Language Processing

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