A Study of Small Corpus-based NMT for Image-based Text Recognition

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Abstract

This paper presents an applied study that aims to build a Chinese and foreign language translation system for real-time applications, using image recognition and Neural Machine Translation (NMT) techniques. The image and text recognition engine development focus on possible technologies for recognition tasks of commonly used text items (Chinese, Portuguese, English) in Macau. The paper gives an overview of Artificial Intelligence (AI), Big Data Mining, and other cutting-edge technologies. The paper also develops an NMT for a limited corpus, with short training times for some translation models. It also explores deep learning problems, such as unsupervised learning, black-box models, and online learning, and shows how these challenges translate into fruitful avenues for future research.

Original languageEnglish
Title of host publication2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1497-1501
Number of pages5
ISBN (Electronic)9798350397376
DOIs
Publication statusPublished - 2023
Event9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 - Coimbatore, India
Duration: 17 Mar 202318 Mar 2023

Publication series

Name2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

Conference

Conference9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023
Country/TerritoryIndia
CityCoimbatore
Period17/03/2318/03/23

Keywords

  • NMT
  • STN
  • Small Corpus
  • Text Recognition

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