Overview of the 8th workshop on Asian translation
T Nakazawa, H Nakayama, C Ding… - Proceedings of the …, 2021 - aclanthology.org
This paper presents the results of the shared tasks from the 8th workshop on Asian
translation (WAT2021). For the WAT2021, 28 teams participated in the shared tasks and 24 …
translation (WAT2021). For the WAT2021, 28 teams participated in the shared tasks and 24 …
Universal multimodal representation for language understanding
Representation learning is the foundation of natural language processing (NLP). This work
presents new methods to employ visual information as assistant signals to general NLP …
presents new methods to employ visual information as assistant signals to general NLP …
An encoder-decoder based framework for hindi image caption generation
In recent times, research activity on image caption generation has attracted several
researchers. The present work attempt to address the problem of Hindi image caption …
researchers. The present work attempt to address the problem of Hindi image caption …
Multimodality for NLP-centered applications: Resources, advances and frontiers
With the development of multimodal systems and natural language generation techniques,
the resurgence of multimodal datasets has attracted significant research interests, which …
the resurgence of multimodal datasets has attracted significant research interests, which …
Hindi to English Multimodal Machine Translation on News Dataset in Low Resource Setting
This work proposes a multimodal Hindi-to-English machine translation on a news corpus by
integrating multiple input modalities. The experimental dataset comprises of an image from a …
integrating multiple input modalities. The experimental dataset comprises of an image from a …
Exploiting multiple correlated modalities can enhance low-resource machine translation quality
In an effort to enhance the machine translation (MT) quality of low-resource languages, we
report the first study on multimodal machine translation (MMT) for Manipuri→ English …
report the first study on multimodal machine translation (MMT) for Manipuri→ English …
Hausa visual genome: A dataset for multi-modal English to Hausa machine translation
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 …
the quality of translations. The visual information can serve as a valuable piece of context …
A visually-grounded parallel corpus with phrase-to-region linking
H Nakayama, A Tamura… - Proceedings of the Twelfth …, 2020 - aclanthology.org
Visually-grounded natural language processing has become an important research
direction in the past few years. However, majorities of the available cross-modal resources …
direction in the past few years. However, majorities of the available cross-modal resources …
Impact of visual context on noisy multimodal NMT: an empirical study for English to Indian languages
The study investigates the effectiveness of utilizing multimodal information in Neural
Machine Translation (NMT). While prior research focused on using multimodal data in low …
Machine Translation (NMT). While prior research focused on using multimodal data in low …
Exploring practical deep learning approaches for English-to-Hindi image caption translation using transformers and object detectors
P Bisht, A Solanki - Applications of Artificial Intelligence and Machine …, 2022 - Springer
Most of the captions available for images are only present in a few languages prominent on
the internet. The task of machine translation of image captions aims to democratize this …
the internet. The task of machine translation of image captions aims to democratize this …