• Extract information from unstructured data using NLTK to solve NLP problems
• Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
• ...

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to...

Natural Language Processing is used everywhere - in search engines, spell checkers, mobile phones, computer games - even your washing machine. Python's Natural Language Toolkit (NTLK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. You want to employ nothing less than the best...

We started work on this handbook three years ago and, while bringing it to fruition has involved a great deal of work, we have enjoyed the process. We are grateful to our colleagues who have contributed chapters to the volume. Its quality is due to their labor and commitment. We appreciate the considerable time and effort that they...

Artificial Intelligence (AI) has the definite goal of understanding intelligence and building intelligent systems. However, the methods and formalisms used on the way to this goal are not firmly set, which has resulted in AI consisting of a multitude of subdisciplines today. The difficulty in an introductory AI course lies in conveying...

Word sense disambiguation is a core research problem in computational linguistics, which was recognized at the beginning of the scientific interest in machine translation and artificial intelligence. And yet no book has been fully devoted to review the wide variety of approaches to solving the problem. The time is right for such a...

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...