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 | | Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
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
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Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
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Machine Translation: Its Scope and LimitsMachine 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... | | Python 3 Text Processing with NLTK 3 Cookbook
Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0
About This Book
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Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
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Learn how to do custom sentiment analysis and named entity...
| | Understand Body Language (Teach Yourself)
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 ... |
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Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems.
From... | | Natural Language Annotation for Machine Learning
This book is intended as a resource for people who are interested in using computers to
help process natural language. A natural language refers to any language spoken by
humans, either currently (e.g., English, Chinese, Spanish) or in the past (e.g., Latin,
ancient Greek, Sanskrit). Annotation refers to the process ... | | |
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