{"title":"对话工程:了解独白和对话中语言生成的控制要求","authors":"Chiara Gambi , Fan Zhang , Martin J. Pickering","doi":"10.1016/j.jneuroling.2024.101229","DOIUrl":null,"url":null,"abstract":"<div><p>Both artificial and biological systems are faced with the challenge of noisy and uncertain estimation of the state of the world, in contexts where feedback is often delayed. This challenge also applies to the processes of language production and comprehension, both when they take place in isolation (e.g., in monologue or solo reading) and when they are combined as is the case in dialogue. Crucially, we argue, dialogue brings with it some unique challenges. In this paper, we describe three such challenges within the general framework of control theory, drawing analogies to mechanical and biological systems where possible: (1) the need to distinguish between self- and other-generated utterances; (2) the need to adjust the amount of advance planning (i.e., the degree to which planning precedes articulation) flexibly to achieve timely turn-taking; (3) the need to track changing conversational goals. We show that message-to-sound models of language production (i.e., those that cover the whole process from message generation to articulation) tend to implement fairly simple control architectures. However, we argue that more sophisticated control architectures are necessary to build language production models that can account for both monologue and dialogue.</p></div>","PeriodicalId":50118,"journal":{"name":"Journal of Neurolinguistics","volume":"73 ","pages":"Article 101229"},"PeriodicalIF":1.2000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0911604424000393/pdfft?md5=3f517119ed3036b6c63dc89e56e54a90&pid=1-s2.0-S0911604424000393-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Engineering conversation: Understanding the control requirements of language production in monologue and dialogue\",\"authors\":\"Chiara Gambi , Fan Zhang , Martin J. Pickering\",\"doi\":\"10.1016/j.jneuroling.2024.101229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Both artificial and biological systems are faced with the challenge of noisy and uncertain estimation of the state of the world, in contexts where feedback is often delayed. This challenge also applies to the processes of language production and comprehension, both when they take place in isolation (e.g., in monologue or solo reading) and when they are combined as is the case in dialogue. Crucially, we argue, dialogue brings with it some unique challenges. In this paper, we describe three such challenges within the general framework of control theory, drawing analogies to mechanical and biological systems where possible: (1) the need to distinguish between self- and other-generated utterances; (2) the need to adjust the amount of advance planning (i.e., the degree to which planning precedes articulation) flexibly to achieve timely turn-taking; (3) the need to track changing conversational goals. We show that message-to-sound models of language production (i.e., those that cover the whole process from message generation to articulation) tend to implement fairly simple control architectures. However, we argue that more sophisticated control architectures are necessary to build language production models that can account for both monologue and dialogue.</p></div>\",\"PeriodicalId\":50118,\"journal\":{\"name\":\"Journal of Neurolinguistics\",\"volume\":\"73 \",\"pages\":\"Article 101229\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0911604424000393/pdfft?md5=3f517119ed3036b6c63dc89e56e54a90&pid=1-s2.0-S0911604424000393-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurolinguistics\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0911604424000393\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurolinguistics","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0911604424000393","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"LINGUISTICS","Score":null,"Total":0}
Engineering conversation: Understanding the control requirements of language production in monologue and dialogue
Both artificial and biological systems are faced with the challenge of noisy and uncertain estimation of the state of the world, in contexts where feedback is often delayed. This challenge also applies to the processes of language production and comprehension, both when they take place in isolation (e.g., in monologue or solo reading) and when they are combined as is the case in dialogue. Crucially, we argue, dialogue brings with it some unique challenges. In this paper, we describe three such challenges within the general framework of control theory, drawing analogies to mechanical and biological systems where possible: (1) the need to distinguish between self- and other-generated utterances; (2) the need to adjust the amount of advance planning (i.e., the degree to which planning precedes articulation) flexibly to achieve timely turn-taking; (3) the need to track changing conversational goals. We show that message-to-sound models of language production (i.e., those that cover the whole process from message generation to articulation) tend to implement fairly simple control architectures. However, we argue that more sophisticated control architectures are necessary to build language production models that can account for both monologue and dialogue.
期刊介绍:
The Journal of Neurolinguistics is an international forum for the integration of the neurosciences and language sciences. JNL provides for rapid publication of novel, peer-reviewed research into the interaction between language, communication and brain processes. The focus is on rigorous studies of an empirical or theoretical nature and which make an original contribution to our knowledge about the involvement of the nervous system in communication and its breakdowns. Contributions from neurology, communication disorders, linguistics, neuropsychology and cognitive science in general are welcome. Published articles will typically address issues relating some aspect of language or speech function to its neurological substrates with clear theoretical import. Interdisciplinary work on any aspect of the biological foundations of language and its disorders resulting from brain damage is encouraged. Studies of normal subjects, with clear reference to brain functions, are appropriate. Group-studies on well defined samples and case studies with well documented lesion or nervous system dysfunction are acceptable. The journal is open to empirical reports and review articles. Special issues on aspects of the relation between language and the structure and function of the nervous system are also welcome.