Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania. He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics. More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum. In 2009, Steven is President of the Association for Computational Linguistics.
Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh. He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh. He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing. Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET).
Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania. Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
This book is a very good intro/guide to NLP and the Python Natural Language Toolkit.
It provided good high-level coverage of all of the key topics. Read more
This book is a collection of the NLTK documentation available on the web. Some of the pages have been copied word by word. Read morePublished 5 months ago by S. Kumar
This is a pretty good book for getting someone started in NLP and Python, I think. My only problem was that some of the code is already rather out of date. Read morePublished 5 months ago by D. Brittany Kidd
i would rather to have two books instead of one. one for java, the other for NLP. it is quite shallow especially if you are a grad student.Published 8 months ago by Yifan Peng
This is the classic Natural Language with Python book. It's a good introduction to Natural Language Processing with Python. The book lacks depth in places.Published 9 months ago by Computers Dave
Informative, clear and very interesting. great for self study. I would definitely recommend this book to anybody interested in NLP and text analysisPublished 10 months ago by a
Because it has very interesting examples that help to understand natural language processing, especially with the libraries that help a lot and avoids writing unnecessary code. Read morePublished 12 months ago by Manuel E Sucunuta
Excellent coverage of python for the newbie. Good coverage of Natural Language processing for folks who are new to the subject area.Published 14 months ago by Steven F. Lott
I am interested in NLP from a medical standpoint. This book is simultaneously a great intro to NLP and to Python-- although an experienced programmer I have not used Python... Read morePublished 14 months ago by Amazon Customer