封面

概况

书讯类型

【书名】：Evaluating Second Language Vocabulary and Grammar Instruction: A Synthesis of the Research on Teaching Words, Phrases, and Patterns

【作者】：Frank Boers

【年份】：2021年

【出版社】：Routledge出版社

【简介】：二语教学中的词汇与语法评估

Providing a much-needed critical synthesis of research on teaching vocabulary and grammar to students of a second or foreign language, this book puts the research into perspective in order to distil recommendations for language teaching. Boers evaluates a comprehensive range of both well-established and lesser-known research strands and classroom practices to draw out the most effective instructional approaches to teaching words, multiword expressions and grammar patterns. Chapters discuss learning as a by-product of communicative activities, language-focused instruction, diverse types of exercises, mnemonic techniques and more, with a view to building bridges between the available research on such instructional approaches and how they are commonly implemented in actual language courses and textbooks.

This book helps teachers make research-informed decisions regarding their instructional approaches to words, phrases and patterns, and direct researchers to specific areas in need of further inquiry. Boers not only demonstrates how research findings can inform effective teaching, but also calls for a deeper appreciation on the part of researchers of the realities of the teaching profession, making this a worthwhile text for preservice teachers, teacher educators, graduate students and scholars.

此书讯“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】：Deep Learning and Linguistic Representation

【作者】：Shalom Lappin

【年份】：2021年

【出版社】：CRC出版社

【简介】：The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear.

Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge.

此资源由网友提供