Practical Natural Language Processing

Second language (L2) fluency is an exciting and fast-moving field of research, with clear practical applications in language teaching. This book provides a lively overview of the current advances in the field of L2 fluency, and connects the theory to practice, presenting a hands-on approach to using fluency research across a range of different language-related professions. The authors introduce an innovative multidisciplinary perspective, which brings together research into cognitive and social factors, to understand fluency as a dynamic variable in language performance, connecting learner-internal factors such as speech processing and automaticity, to external factors such as task demands, language testing, and pragmatic interactional demands in communication. Bringing a much-needed multidisciplinary and novel approach to understanding the complex nature of L2 speech fluency, this book provides researchers, students and language professionals with both the theoretical insights and pra

Second language (L2) fluency is an exciting and fast-moving field of research, with clear practical applications in language teaching. This book provides a lively overview of the current advances in the field of L2 fluency, and connects the theory to practice, presenting a hands-on approach to using fluency research across a range of different language-related professions. The authors introduce an innovative multidisciplinary perspective, which brings together research into cognitive and social factors, to understand fluency as a dynamic variable in language performance, connecting learner-internal factors such as speech processing and automaticity, to external factors such as task demands, language testing, and pragmatic interactional demands in communication. Bringing a much-needed multidisciplinary and novel approach to understanding the complex nature of L2 speech fluency, this book provides researchers, students and language professionals with both the theoretical insights and pra

As a major breakthrough in artificial intelligence, deep learning has achieved impressive success on solving grand challenges in many fields including speech recognition, natural language processing,

The Southeast Asia Program, Cornell University, recommends Ronald Gatty's Fijian-English Dictionary as the most up-to-date lexicographic source for the language, a reliable, practical guide that inclu

The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying

Grammars are gaining importance in natural language processing and computational biology as a means of encoding theories and structuring algorithms. But one serious obstacle to applications of grammar

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing an

The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python’s scikit-learn to apply

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduc

Cognitive Models of Speech Processing presents extensive reviews of current thinking on psycholinguistic and computational topics in speech recognition and natural-language processing, along with a su

The Core Language Engine presents the theoretical and engineering advances embodied in one of the most comprehensive natural language processing systems designed to date. Recent research results from