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What it Takes to Talk: Exploring Developmental Cognitive Linguistics等2本电子书
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今日推出2本电子书资源:
①Degruyter出版社2020年重磅新著What it Takes to Talk: Exploring Developmental Cognitive Linguistics
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②Springer出版社2020年重磅新著Bayesian Natural Language Semantics and Pragmatics
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【书名】:What it Takes to Talk: Exploring Developmental Cognitive Linguistics 【作者】:Paul Ibbotson等 【年份】:2020年 【出版社】:Degruyter出版社 【简介】:强烈推荐,传统认知语言学常被批评不够认知,与认知科学脱节,本书是继Dijvak的Frequency in Language之后又一本将认知语言学与真正的认知科学议题相结合的著作,德古意特重要认知语言学书系Cognitive Linguistics Research的最新著作。。 This book puts cognition back at the heart of the language learning process and challenges the idea that language acquisition can be meaningfully understood as a purely linguistic phenomenon. For each domain placed under the spotlight - memory, attention, inhibition, categorisation, analogy and social cognition - the book examines how they shape the development of sounds, words and grammar. The unfolding cognitive and social world of the child interacts with, constrains, and predicts language use at its deepest levels. The conclusion is that language is special, not because it is an encapsulated module separate from the rest of cognition, but because of the forms it can take rather than the parts it is made of, and because it could be nature’s finest example of cognitive recycling and reuse. | 此资源由LingLab合作伙伴“语言学小电”提供,感兴趣可添加“语言学小电”的微信13764179404进行咨询! | |
【书名】:Bayesian Natural Language Semantics and Pragmatics 【作者】:Schmitz, Hans-Christian;Zeevat, Henk 【年份】:2020年 【出版社】:Springer出版社 【简介】:The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction. | 此资源由LingLab免费提供,可点击下方的按钮直接获取!
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