A Preview of Computational Animal Linguistics

IF 30.4 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Tuan Dang, Atrey Desai, Hridayesh Lekhak, Tirza Panunto, Lindsay Pike, Theron Wang, Kenny Q. Zhu
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引用次数: 0

Abstract

Computational animal linguistics is an emerging field that studies non-human animal vocal communication as a language system using data-driven computational approaches. This survey starts with humanity’s historical endeavor to understand animal communication and a background on the essential linguistic properties in human languages. It presents current evidence of animals possessing some of these properties previously thought to be unique to humans. Driven by advancements in deep learning and artificial intelligence, computational methods from natural language processing and large language modeling are playing a major role in processing and understanding animal communication on a larger scale moving forward beyond traditional approaches.
计算动物语言学预览
计算动物语言学是一个新兴的研究领域,它使用数据驱动的计算方法将非人类动物的声音交流作为一种语言系统进行研究。本调查从人类理解动物交流的历史努力和人类语言的基本语言特性的背景开始。它提供了目前的证据,表明动物拥有一些以前被认为是人类独有的特性。在深度学习和人工智能进步的推动下,自然语言处理和大型语言建模的计算方法正在超越传统方法,在更大规模的处理和理解动物交流方面发挥着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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