Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on analyzing the specific mechanism of the brain and investigating the brain's response to language; few studies have examined the brain's language system as a whole. By contrast, computer scientists focus on the efficiency of practical applications when choosing research questions but may ignore the most essential laws of language. Given these differences, can a combination of the disciplines offer new insights for building intelligent language models and studying language cognitive mechanisms? In the following text, we first review the research questions, history, and methods of language understanding in cognitive and computer science, focusing on the current progress and challenges. We then compare and contrast the research of language understanding in cognitive and computer sciences. Finally, we review existing work that combines insights from language cognition and language computation and offer prospects for future development trends.
翻译:语言理解是认知和计算机科学领域的一个关键科学问题。然而,这两个学科在具体的研究问题上有很大差异。认知科学侧重于分析大脑的具体机制并调查大脑对语言的反应;很少有研究对整个大脑的语言系统进行了检查。相比之下,计算机科学家在选择研究问题时侧重于实际应用的效率,但可能忽视最基本的语言法则。鉴于这些差异,这些学科的结合能够为建立智能语言模型和研究语言认知机制提供新的洞察力。在接下来的文本中,我们首先审查认知和计算机科学方面的研究问题、历史和语言理解方法,重点是当前的进展和挑战。我们然后比较和对比认知和计算机科学中语言理解的研究。最后,我们审查将语言认知和语言计算见解相结合的现有工作,并为未来发展趋势提供前景。