Eye Tracking in Second Language Acquisition and Bilingualism provides foundational knowledge and hands-on advice for designing, conducting, and analysing eye-tracking research in applied linguistics. Godfroid’s research synthesis and methodological guide introduces the reader to fundamental facts about eye movements, eye-tracking paradigms for language scientists, data analysis, and the practicalities of building a lab. This indispensable book will appeal to undergraduate students learning principles of experimental design, graduate students developing their theoretical and statistical repertoires, experienced scholars looking to expand their own research, and eye-tracking professionals.

Eye-tracking is quickly becoming a valuable tool in applied linguistics research as it provides a 'real-time', direct measure of cognitive processing effort. This book provides a straightforward introduction to the technology and how it might be used in language research. With a strong focus on the practicalities of designing eye-tracking studies that achieve the standard of other well-established experimental techniques, it provides valuable information about building and designing studies, touching on common challenges and problems, as well as solutions. Importantly, the book looks at the use of eye-tracking in a wide variety of applied contexts including reading, listening and multi-modal input, writing, testing, corpus linguistics, translation, stylistics, and computer-mediated communication. Each chapter finishes with a simple checklist to help researchers use eye-tracking in a wide variety of language studies. Discussion is grounded in concrete examples, which will allow users coming to the technology for the first time to gain the knowledge and confidence to use it to produce high quality research.

This volume presents a state-of-the-art of current research on the role of eye gaze in different types of interaction, including human-human and human-computer interaction. Approaching the phenomenon from different disciplinary and methodological angles, the chapters in the volume are united through a shared technological approach, viz. the use of eye-tracking technology for measuring speakers’ and hearers’ eye gaze patterns while engaged in interaction. Envisioned as an ‘innovating reader’, the volume addresses key questions of interdisciplinary relevance (e.g. to what extent can the analysis of fine-grained eye gaze data, obtained with eye-tracking technology, inform conversation analysis, and vice versa?), positioning (e.g. what is the semiotic status of eye gaze in relation to linguistic signaling?), and methodology (e.g. can we strike a balance between experimental control and authenticity in setting up dialogue settings with eye-tracking technology?). The exploration of these and other questions contributes to the demarcation of a burgeoning research program.

This book brings together chapters from investigators on the leading edge on this new research area to explore on the leading edge on this new research area to explore common theoretical issues, empirical findings, technical problems, and outstanding questions. This book will serve as a blueprint for work on the interface of vision, language, and action over the next five to ten years.

This addition to the Cognitive Science and Second Language Acquisition series presents a comprehensive review of the latest research findings on sentence processing in second language acquisition. The book begins with a broad overview of the core issues of second language sentence processing research and then narrows its focus by dedicating individual chapters to each of these key areas. While a number of publications have discussed research findings on knowledge of formal syntactic principles as part of theories of second language acquisition, there are fewer resources dedicated to the role of second language sentence processing in this context. This volume will act as the first full-length literature review of the field on the market.

This volume encompasses the range of research questions on language-related problems that arise in language teaching, learning and assessment. The [150] chapters are written by experts in the field who each offer their insights into current and future directions of research, and who suggest several highly relevant research questions. Topics include, but are not limited to: language skills teaching, language skills assessment and testing, measurement, feedback, discourse analysis, pragmatics, semantics, language learning through technology, CALL, MALL, ESP, EAP, ERPP, TBLT, materials development, genre analysis, needs analysis, corpus, content-based language teaching, language teaching and learning strategies, individual differences, research methods, classroom research, form-focused instruction, age effects, literacy, proficiency, and teacher education and teacher development. The book serves as a reference and offers inspiration to researchers and students in language education. An important skill in reviewing the research literature is following a study’s “plan of attack.” Broadly, this means that before accepting and acting upon the findings, one considers a) the research question (Is it clear and focused? Measurable?), b) the subjects examined, the methods deployed, and the measures chosen (Do they fit the study’s goal and have the potential to yield useful results?), and c) the analysis of the data (Do the data lead to the discussion presented? Has the author reasonably interpreted results to reach the conclusion?). Mohebbi and Coombe’s book, Research Questions in Language Education and Applied Linguistics: A Reference Guide, helps budding researchers take the first step and develop a solid research question. As the field of language education evolves, we need continual research to improve our instructional and assessment practices and our understanding of the learners’ language learning processes. This book with its remarkable 150 topics and 10 times the number of potential research questions provides a wealth of ideas that will help early career researchers conduct studies that move our field forward and grow our knowledge base. Deborah J. Short, Ph.D., Director, Academic Language Research & Training, Past President, TESOL International Association (2021-22) As a teacher in graduate programs in TESOL I frequently come across the frustration of students at centering their research interests on a particular topic and developing research questions which are worth pursuing so as to make a contribution to the field. This frustration stems from the fact that our field is so vast and interrelated, that it is often impossible to properly address all that interests them. Hence, I wholeheartedly welcome this most relevant and innovative addition to the research literature in the field of TESOL and Applied Linguistics. Coombe and Mohebbi have created a real tour de force that stands to inform budding researchers in the field for many years to come. Additionally, the cutting-edge depiction of the field and all it has to offer will no doubt update the research agendas of many seasoned researchers around the world. The 150 chapters are organized in a most powerful, yet, deceptively simple way offering a positioning within the topic, suggesting questions that might direct inquiry and offering a basic set of bibliographic tools to start the reader in the path towards research. What is more, the nine sections in which the chapters are organized leave no area of the field unexplored. Dr. Gabriel Díaz Maggioli, Academic Advisor, Institute of Education, Universidad ORT del Uruguay, President, IATEFL

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings’ hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that “something different should be done.”