商品簡介
This book presents a coarse-to-fine framework for learning and inference in large statistical models for natural language processing. The text shows applications of this fast, accurate approach to syntactic parsing, speech recognition and machine translation.
作者簡介
Slav Petrov is a Research Scientist at Google New York. He works on problems at the intersection of natural language processing and machine learning. In particular, he is interested in syntactic parsing and its applications to machine translation and information extraction. He also teaches Statistical Natural Language Processing at New York University as an Adjunct Professor.
