Learn IT - Books tags nlp

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Packt Publishing, 2018

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

Introduction to Facebook's fastText library for NLP

Perform efficient word representations, sentence classification, vector representation

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Packt Publishing, 2021

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models

Key Features

Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...

Python 3 Text Processing with NLTK 3 Cookbook

Packt Publishing, 2014

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

Break text down into its component parts for spelling correction, feature extraction, and phrase transformation

Learn how to do custom sentiment analysis and named entity...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Packt Publishing, 2018

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras

Build, deploy, and scale end-to-end deep neural network models in a production...

Artificial Companion for Second Language Conversation: Chatbots Support Practice Using Conversation Analysis

Springer, 2019

The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research...

Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks

Apress, 2017

Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android...

Understand Body Language (Teach Yourself)

Hodder Education, 2011

Now updated for the 21st century with the very latest on NLP and other cutting-edge research

Not restricted to the workplace, but covering every social and domestic situation, this guide offers readers the knowledge and understanding to be able to use and interpret body language...

NLTK Essentials

Packt Publishing, 2015

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

Extract information from unstructured data using NLTK to solve NLP problems

Analyse linguistic structures in text and learn the concept of semantic analysis and parsing

Machine Translation: Its Scope and Limits

Springer, 2008

Machine Translation (MT) is both an engineering technology and a measure of all things to do with languages and computers—whenever a new theory of language or linguistics is offered, an important criteria for its success is whether or not it will improve machine translation.

This book presents a history of machine translation (MT) from...

Computational Approaches to Morphology and Syntax (Oxford Surveys in Syntax & Morphology)

Oxford University Press, 2007

"This book should undoubtedly be of great interest to students and researchers of morphology, syntax, computational linguistics, and natural language processing. The book provides an excellent systematics overivew of the current state-of-the-art of the field. The book includes extensive descriptions of the formal characterization of...

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