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Tag: Linguistics

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Price: $31.19
(as of Dec 26,2024 19:51:52 UTC – Details)

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ASIN ‏ : ‎ B07BWH779J
Publisher ‏ : ‎ Packt Publishing; 1st edition (June 29, 2018)
Publication date ‏ : ‎ June 29, 2018
Language ‏ : ‎ English
File size ‏ : ‎ 7770 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 308 pages

Natural Language Processing (NLP) and Computational Linguistics are rapidly growing fields that are revolutionizing the way we interact with and analyze text data. In this practical guide, we will explore how to perform various text analysis tasks using popular Python libraries such as Gensim, spaCy, and Keras.

Gensim is a powerful library for topic modeling and document similarity analysis. We will learn how to preprocess text data, train a word embedding model using Word2Vec, and perform topic modeling to extract meaningful topics from a corpus of text.

spaCy is a state-of-the-art NLP library that provides robust tools for text processing, tokenization, named entity recognition, and dependency parsing. We will demonstrate how to use spaCy to perform text classification, sentiment analysis, and entity recognition on a variety of text datasets.

Keras is a high-level neural networks library that is easy to use and allows for fast prototyping of deep learning models. We will showcase how to build and train a text classification model using a recurrent neural network (RNN) with LSTM cells in Keras to classify text data into different categories.

By the end of this guide, you will have a solid understanding of how to perform text analysis tasks using Python and popular NLP libraries. Whether you are a beginner or an experienced data scientist, this guide will provide you with the necessary tools and techniques to effectively analyze and extract valuable insights from text data. Get ready to dive into the world of NLP and Computational Linguistics with this practical guide!
#Natural #Language #Processing #Computational #Linguistics #practical #guide #text #analysis #Python #Gensim #spaCy #Keras

December 26, 2024
Computational Linguistics and Artificial Intelligence: A Survey of Low-Resource Language Processing, AI Ethics in NLP, and Neural Network Transparency Regarding Language Evolution AI

Price: $55.55
(as of Dec 26,2024 19:03:29 UTC – Details)

Computational Linguistics and Artificial Intelligence have been advancing rapidly in recent years, with a particular focus on addressing challenges in low-resource language processing. As technology continues to evolve, it is crucial to consider the ethical implications of AI in Natural Language Processing (NLP) and ensure transparency in neural networks that are used to analyze and generate language.

Low-resource language processing refers to the development of NLP models and tools for languages that have limited linguistic resources, such as data and labeled examples. This is a critical area of research, as many languages around the world are underrepresented in mainstream NLP applications. By leveraging techniques such as transfer learning and data augmentation, researchers are making significant progress in improving the performance of NLP models for low-resource languages.

AI ethics in NLP is another important topic that is gaining attention in the research community. As NLP models become more powerful and pervasive, concerns about bias, fairness, and privacy are becoming increasingly relevant. It is essential for researchers and developers to consider the ethical implications of their work and strive to create AI systems that are transparent, accountable, and respectful of individual rights.

Neural network transparency is a key factor in ensuring the trustworthiness of AI systems that are used for language processing. By developing methods for interpreting and explaining the decisions made by neural networks, researchers can increase the interpretability and reliability of NLP models. This is particularly important in applications where the impact of AI decisions on individuals and society can be significant.

In conclusion, the intersection of Computational Linguistics and Artificial Intelligence offers exciting opportunities for advancing the field of NLP and language evolution AI. By addressing challenges in low-resource language processing, promoting AI ethics in NLP, and improving neural network transparency, researchers can develop more robust and responsible AI systems for analyzing and generating language.
#Computational #Linguistics #Artificial #Intelligence #Survey #LowResource #Language #Processing #Ethics #NLP #Neural #Network #Transparency #Language #Evolution

December 26, 2024
The Oxford Handbook of Computational Linguistics by Mitkov, Ruslan

The Oxford Handbook of Computational Linguistics by Mitkov, Ruslan

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The Oxford Handbook of Computational Linguistics: A Comprehensive Guide by Mitkov, Ruslan

Are you interested in the intersection of language and technology? Look no further than The Oxford Handbook of Computational Linguistics by renowned expert Ruslan Mitkov. This comprehensive guide covers a wide range of topics in the field of computational linguistics, from foundational theories to cutting-edge applications.

Whether you’re a seasoned researcher or a newcomer to the field, this handbook offers valuable insights into the latest developments in natural language processing, machine translation, sentiment analysis, and more. With contributions from leading experts in the field, this book is sure to become an indispensable resource for anyone interested in the study of language and technology.

Don’t miss out on this essential guide to computational linguistics. Get your copy of The Oxford Handbook of Computational Linguistics by Ruslan Mitkov today!
#Oxford #Handbook #Computational #Linguistics #Mitkov #Ruslan, artificial intelligence

December 26, 2024
Natural Language Processing and Computational Linguistics: A practical guide…

Natural Language Processing and Computational Linguistics: A practical guide…

Price : 15.28

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Natural Language Processing (NLP) and Computational Linguistics are two closely related fields that focus on the interaction between computers and human language. These disciplines have gained significant attention in recent years due to the rise of artificial intelligence and machine learning technologies.

In this practical guide, we will explore the fundamentals of NLP and Computational Linguistics, as well as provide tips and resources for those looking to dive deeper into these fields.

1. Understanding Natural Language Processing:
NLP is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It involves tasks such as text classification, sentiment analysis, machine translation, and speech recognition. NLP algorithms rely on machine learning techniques to process and analyze large amounts of textual data.

2. Key Concepts in Computational Linguistics:
Computational Linguistics is the study of how computers can be used to process and analyze human language. It involves tasks such as parsing, semantic analysis, and information retrieval. Computational Linguists use techniques from linguistics, computer science, and artificial intelligence to develop algorithms that can understand and generate human language.

3. Practical Applications of NLP and Computational Linguistics:
There are numerous practical applications of NLP and Computational Linguistics in various industries. For example, chatbots use NLP algorithms to understand and respond to user queries, sentiment analysis tools help businesses analyze customer feedback, and machine translation systems enable people to communicate across language barriers.

4. Resources for Learning NLP and Computational Linguistics:
If you are interested in learning more about NLP and Computational Linguistics, there are plenty of resources available online. Some popular textbooks include “Speech and Language Processing” by Daniel Jurafsky and James H. Martin, “Foundations of Statistical Natural Language Processing” by Christopher D. Manning and Hinrich Schütze, and “Natural Language Processing with Python” by Steven Bird, Ewan Klein, and Edward Loper.

Additionally, there are online courses and tutorials available on platforms like Coursera, edX, and Udemy that cover NLP and Computational Linguistics topics. These resources can help you build a solid foundation in these fields and gain hands-on experience with real-world projects.

In conclusion, Natural Language Processing and Computational Linguistics are exciting fields with a wide range of practical applications. By understanding the fundamentals of NLP and Computational Linguistics and leveraging the resources available, you can enhance your skills and contribute to the advancement of language technologies.
#Natural #Language #Processing #Computational #Linguistics #practical #guide..

December 26, 2024
Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Price: $38.50
(as of Dec 24,2024 08:00:35 UTC – Details)

ASIN ‏ : ‎ 9332518416
Publisher ‏ : ‎ Pearson India; 2nd edition (January 1, 2014)
Language ‏ : ‎ English
Paperback ‏ : ‎ 160 pages
ISBN-10 ‏ : ‎ 9789332518414
ISBN-13 ‏ : ‎ 978-9332518414
Reading age ‏ : ‎ 15 years and up
Item Weight ‏ : ‎ 3.22 pounds
Dimensions ‏ : ‎ 7.99 x 10 x 1.85 inches

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Are you curious about how computers can understand and generate human language? Interested in learning about the technologies behind virtual assistants like Siri and Alexa? Look no further than “Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.”

This comprehensive textbook covers the fundamentals of natural language processing (NLP), computational linguistics, and speech recognition. Written by leading experts in the field, this book provides a thorough introduction to the key concepts, techniques, and applications of these rapidly evolving technologies.

Whether you’re a student looking to delve into the world of NLP or a professional seeking to enhance your knowledge and skills in speech and language processing, this book is an invaluable resource. With clear explanations, practical examples, and hands-on exercises, “Speech and Language Processing” will help you understand how computers can analyze, interpret, and generate human language.

Don’t miss out on this essential guide to the exciting field of speech and language processing. Get your copy today and unlock the potential of NLP, computational linguistics, and speech recognition!
#Speech #Language #Processing #Introduction #Natural #Language #Processing #Computational #Linguistics #Speech #Recognition

December 24, 2024

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