Natural Language Processing (NLP)
β Jacob Eisenstein
π Library
π
2018
π English
β¦ LIBER β¦
π
Introduction to Natural Language Processing (NLP)
β Scribed by Jacob Eisenstein
- Publisher
- MIT Press, and are posted here under the Creative Commons license CC-BY-NC-ND
- Year
- 2018
- Tongue
- English
- Leaves
- 588
- Series
- Adaptive Computation and Machine Learning Series
- Edition
- Illustrated
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Subjects
artificial intelligence; machine learning; reinforcement learning; deep learning; AI; ML; RL; DL; natural language processing; NLP; interactive computing; CS 7650; CS7650; CS; 7650
π SIMILAR VOLUMES
Introduction to Natural Language Process
β Mary Dee Harris
π Library
π
1985
π Reston Pub. Co
π English
Introduction to Arabic Natural Language
β Nizar Y. Habash
π Library
π
2010
π Morgan and Claypool Publishers
π English
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing.
Introduction to Chinese Natural Language
β Kam-Fai Wong, Wenji Li, Ruifeng Xu, Zheng-sheng Zhang, Graeme Hirst
π Library
π
2009
π Morgan & Claypool Publishers
π English
This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level, the book primarily focuses on Chinese morphological analy
Speech and Language Processing: An Intro
β Jurafsky, Martin.
π Library
π
2007
π English
Natural Language Processing with Spark N
β Alex Thomas
π Library
π
2020
π O'Reilly Media
π English
If you want to build an enterprise-quality application that uses natural language text but arenβt sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build sca