Research on Translation Corpus Building with the Assistance of AI
- https://doi.org/10.2991/ahis.k.220601.027How to use a DOI?
- AI; Translation Corpus; Translation Teaching
The quality of machine translation depends on the corpus available for it to learn from. With the development of AI, the translation corpus is now the key to realize Intelligent translation and scenario-based translation. The data on the Internet, data of the enterprise, user-generated data, machine-generated data, all of which can be the sources of AI-Assisted translation corpus data. Types of these data are diversified. There are term data, text data, unstructured data, and knowledge graph. AI-Assisted translation corpus construction can collect data in the following four modes: open-source data based on the third-party, corpus-sharing mode based on crowdsourcing translation, self-learning mode based on machine, collaborative mode based on human-machine cooperation. In the future, corpus-based translation teaching will be an important part of intelligent translation.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Xiaoqing Hou PY - 2022 DA - 2022/06/02 TI - Research on Translation Corpus Building with the Assistance of AI BT - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021) PB - Atlantis Press SP - 136 EP - 140 SN - 2589-4919 UR - https://doi.org/10.2991/ahis.k.220601.027 DO - https://doi.org/10.2991/ahis.k.220601.027 ID - Hou2022 ER -