Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K

Multimodal machine translation (MMT) is an attractive application of neural machine translation (NMT) that is commonly incorporated with image information. However, the MMT models proposed thus far have only comparable or slightly better performance than their text-only counterparts. One potential c...

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Bibliographic Details
Main Authors: Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9803016/