本书适用于古典自然语言处理、统计自然语言处理、语音识别、计算语言学和人类语言处理的本科或高年级本科课程。基于网络的语言技术的爆发、不同领域的融合、基于电话的对话系统的可用性等使语音和语言处理处于令人兴奋的时期。本书是同类书籍中一个全面涵盖语言技术(所有层次和所有现代技术)的书籍,基于对大公司应用统计和其他机器学习算法采取实证方法。作者涵盖传统上在不同课程中教授的领域,以描述语音和语言处理的统一愿景,重点是实际应用和科学评估。配套网站包含教师教学材料以及网络语言处理资源的指针。第二版提供了大量新的和扩展的材料。
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main ide