Abstract:A review of the literature on patent applications for language intelligence technology over the past 60 years (1960– 2019) reveals that language intelligence technology has advanced significantly in the past five years. It is anticipated that the technological explosion will last for a long time in the future. The rapid development of language intelligence technology highlights the increasing importance of language data governance. Focusing on language data service sectors such as machine translation, intelligent customer service, opinion monitoring, and multilingual resource construction, this review paper analyses the tendencies of language data service development empowered by intelligent technologies. It points out that the language data governance system faces two technical complications, namely language data bias, and limitations of the traditional language governance models. In order to resolve the dilemma and challenges in language data processing and mining, three language data governance models are proposed and comparatively analysed, i.e., point aggregation, linear combination, and multi-layer state of affairs, which may serve as a reference for intelligent data governance.
张 凯,薛嗣媛,周建设. 语言智能技术发展与语言数据治理技术模式构建[J]. 语言战略研究, 2022, 7(4): 35-49.
Zhang Kai, Xue Siyuan and Zhou Jianshe. Development of Language Intelligence Technology and Its Model Construction in Language Data Governance. , 2022, 7(4): 35-49.