换位思考:语言处理中的增量换位思考

Q1 Arts and Humanities
Sarah Brown-Schmidt, J. Hanna
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引用次数: 87

摘要

对话中的语言使用基本上是渐进的,并受到对话者对彼此知识和信念的表述的指导。虽然人们一致认为对话者代表他人的观点,但三个候选模型,即观点-调整模型、预期-整合模型和基于约束的模型,对观点信息在在线语言处理中的作用做出了相互矛盾的预测。在这里,我们回顾了语言处理中增量的心理语言学证据,以及最近促进其研究的方法进展-在视觉世界范式中使用眼动追踪。我们展示了视角视角的视觉世界研究,并评估了每个模型对数据的描述。我们主张基于约束的观点,其中视角是指导语言处理决策的多个概率约束之一。收信人将说话人的观点与话语语境中的丰富信息结合起来,从而对说话人所说的话做出解释。理解这些信息来源是如何结合起来影响解释的,需要仔细考虑视角表征是如何建立的,以及它们如何与交际环境相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Talking in another person's shoes: Incremental perspective-taking in language processing
Language use in conversation is fundamentally incremental, and is guided by the representations that interlocutors maintain of each other’s knowledge and beliefs. While there is a consensus that interlocutors represent the perspective of others, three candidate models, a Perspective-Adjustment model, an Anticipation-Integration model, and a Constraint-Based model, make conflicting predictions about the role of perspective information during on-line language processing. Here we review psycholinguistic evidence for incrementality in language processing, and the recent methodological advance that has fostered its investigation—the use of eye-tracking in the visual world paradigm. We present visual world studies of perspective-taking, and evaluate each model's account of the data. We argue for a Constraint-Based view in which perspective is one of multiple probabilistic constraints that guide language processing decisions. Addressees combine knowledge of a speaker’s perspective with rich information from the discourse context to arrive at an interpretation of what was said. Understanding how these sources of information combine to influence interpretation requires careful consideration of how perspective representations were established, and how they are relevant to the communicative context.
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来源期刊
Dialogue and Discourse
Dialogue and Discourse Arts and Humanities-Language and Linguistics
CiteScore
1.90
自引率
0.00%
发文量
7
审稿时长
12 weeks
期刊介绍: D&D seeks previously unpublished, high quality articles on the analysis of discourse and dialogue that contain -experimental and/or theoretical studies related to the construction, representation, and maintenance of (linguistic) context -linguistic analysis of phenomena characteristic of discourse and/or dialogue (including, but not limited to: reference and anaphora, presupposition and accommodation, topicality and salience, implicature, ---discourse structure and rhetorical relations, discourse markers and particles, the semantics and -pragmatics of dialogue acts, questions, imperatives, non-sentential utterances, intonation, and meta--communicative phenomena such as repair and grounding) -experimental and/or theoretical studies of agents'' information states and their dynamics in conversational interaction -new analytical frameworks that advance theoretical studies of discourse and dialogue -research on systems performing coreference resolution, discourse structure parsing, event and temporal -structure, and reference resolution in multimodal communication -experimental and/or theoretical results yielding new insight into non-linguistic interaction in -communication -work on natural language understanding (including spoken language understanding), dialogue management, -reasoning, and natural language generation (including text-to-speech) in dialogue systems -work related to the design and engineering of dialogue systems (including, but not limited to: -evaluation, usability design and testing, rapid application deployment, embodied agents, affect detection, -mixed-initiative, adaptation, and user modeling). -extremely well-written surveys of existing work. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers on discourse and dialogue and its associated fields, including computer scientists, linguists, psychologists, philosophers, roboticists, sociologists.
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