4 of 4 people found the following review helpful
Highly recommended if you are designing data-driven NLP software.,
This review is from: Foundations of Statistical Natural Language Processing (Hardcover)
I purchased this book when designing my first POS tagger for English language.
Since my major is neither NLP, computer science nor mathematics, I had at first had
difficulty in genuinely understanding the core concepts, for example, modeling natural
language "event" such as tagging, parsing or translation, but my second reading
started to be paying off by reading this together with books on statistics, calculus, and algebra.
I recommend this book if you are a patient reader, since, as mentioned above, mathematical
background is prerequisite, which is explicitly written on the preface.
This book was especially helpful when writing POS tagger and syntactic parser. But if you are
eager to learn subject about translation decoder or word alignment model trainer, I
recommend that you also purchase Koehn's book.