There is an overwhelming amount of language data on the internet that need to be searched and researched for practical purposes. In addition to the internet, the ease of global voice communication has also increased this data set. Thus, the role of linguistics in the design of intelligent search systems for information has become increasingly important. The use of these search systems for categorizing and summarizing texts, extracting relevant information, and recognizing and understanding spoken language has drawn many businesses to their development. The demand for linguists to help businesses deal with practical and real-life problems in the processing of electronic and voice communications and other texts has increased dramatically in the past few years.
This book is a practical guide to those linguists hoping to enter this burgeoning field of language processing. The contributors to this edited book are a distinguished group of computational linguists from academia, research centers, and businesses. On a practical level, the book shows how linguists can solve practical problems and improve real-world business efficiency. Although a a background in computing is not assumed, an interest in how computers and linguistics relate is. In addition to linguists entering the field, this book should be of interest to businesses hoping to implement linguistic-based solutions in their operations. Topics covered will range from speech recognition to knowledge representation, from web language resources to grammar writing. Contributors include Jan W. Amtrup, Naomi S. Baron, Miriam Butt, Chris Callison-Burch, Ali Farghaly, Bruce Hedin, Tracy Holloway King, Karine Megerdoomian, Natalya Noy, Miles Osborne, and Matthew Stone.
is a Senior Linguist as System Software Corporation.
- 1 Introduction
- 2 Domain Analysis and Representation
- 3 The Language of the Internet
- 4 Grammar Writing, Testing, and Evaluation
- 5 Ontologies
- 6 Text Mining, Corpus Building, and Testing
- 7 Statistical Natural Language Processing
- 7 Knowledge Representation for Language Engineering
- 9 Speech Recognition and Understanding
- 10 Language Engineering and the Knowledge Economy