Automata Language Processing

An Introduction to Language Processing with Perl and Prolog (Repost)  eBooks & eLearning

Posted by AvaxGenius at Oct. 17, 2017
An Introduction to Language Processing with Perl and Prolog (Repost)

An Introduction to Language Processing with Perl and Prolog: An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German By Pierre M. Nugues
English | PDF | 2006 | 524 Pages | ISBN : 354025031X | 3.46 MB

The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications.
Language Processing and Grammars: The role of functionally oriented computational models (repost)

Language Processing and Grammars: The role of functionally oriented computational models (Studies in Language Companion Series, Book 150) by Brian Nolan and Carlos Periñán-Pascual
English | Book 150 | 2014 | ISBN: 9027259151 | ISBN-13: 9789027259158 | 402 pages | PDF | 13,5 MB
Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)

Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies) by Yoav Goldberg
English | 22 May 2017 | ISBN: 1627052984 | ASIN: B071FGKZMH | 310 Pages | AZW3 | 3.36 MB

Finite-State Language Processing (Repost)  eBooks & eLearning

Posted by step778 at April 6, 2016
Finite-State Language Processing (Repost)

Emmanuel Roche, Yves Schabes, "Finite-State Language Processing"
1997 | pages: 471 | ISBN: 0262181827 | PDF | 17,9 mb

Finite-State Language Processing  eBooks & eLearning

Posted by enmoys at May 16, 2013
Finite-State Language Processing

Finite-State Language Processing By Emmanuel Roche, Yves Schabes
1997 | 464 Pages | ISBN: 0262181827 | PDF | 18 MB
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings By Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong
English | PDF | 2017 | 487 Pages | ISBN : 3319690043 | 37.6 MB

This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017.

Python Natural Language Processing  eBooks & eLearning

Posted by First1 at Oct. 4, 2017
Python Natural Language Processing

Python Natural Language Processing by Jalaj Thanaki
English | July 31st, 2017 | ASIN: B072B8YWCJ, ISBN: 1787121429 | 648 Pages | EPUB | 14.23 MB

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.

Python Natural Language Processing  eBooks & eLearning

Posted by First1 at Sept. 29, 2017
Python Natural Language Processing

Python Natural Language Processing by Jalaj Thanaki
English | July 31st, 2017 | ISBN: 1787121429, 9781787121423 | 476 Pages | True PDF | 14.92 MB

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them.

Biomedical Natural Language Processing  eBooks & eLearning

Posted by step778 at Sept. 26, 2017
Biomedical Natural Language Processing

Kevin Bretonnel Cohen, Dina Demner-Fushman, "Biomedical Natural Language Processing"
2014 | pages: 173 | ISBN: 9027249970 | PDF | 2,4 mb
Learning to Rank for Information Retrieval and Natural Language Processing, 2nd Edition

Learning to Rank for Information Retrieval and Natural Language Processing, 2nd Edition by Hang Li
English | 2015 | ISBN: 1627055843, 9781627055840 | 123 pages | True PDF | 1.94 MB

Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work.