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Instabooks AI (AI Author)
Speaking in Code
Discovering the Basics of Natural Language Processing
Premium AI Book (PDF/ePub) - 200+ pages
Starting with a captivating introduction to the field, the book covers essential topics such as language models, syntax analysis, and semantic processing. Each chapter is crafted to build upon the previous one, ensuring a systematic exploration of NLP. Whether you are a student, a professional, or simply curious about the intersection of language and AI, this book offers valuable insights and practical knowledge.
Key features include clear explanations for newcomers and in-depth discussions on contemporary NLP technologies for those looking to expand their expertise. Through real-world examples and engaging exercises, the book demonstrates the relevance of NLP in various domains like healthcare, finance, and social media.
The benefits of reading Speaking in Code extend beyond mere academic knowledge. It equips readers with the skills to analyze and leverage language data, a capability increasingly sought after in today's data-driven world. By the end of the book, you'll have a robust understanding of NLP and its applications, positioning you at the forefront of this exciting field.
If you're ready to unlock the secrets of human language through the lens of technology, Speaking in Code is your essential guide. Embark on this intellectual journey and transform the way you think about language, machines, and their incredible potential when combined.
Table of Contents
1. A Language Odyssey- The Birth of NLP: From Alan Turing to Today
- Linguistics Meets Computation: A Symbiotic Relationship
- Decoding Human Speech: The Basics of Phonetics and Phonology
2. Words and their Wisdom
- Fundamentals of Morphology and Lexicography
- From Tokens to Meaning: Understanding Lexical Semantics
- The Power of Corpus: Collecting and Analyzing Language Data
3. Deciphering Syntax
- The Art of Parsing: Breaking Down Sentence Structures
- Syntax Trees and Tagging: Visualizing Language Patterns
- Advanced Grammatical Models: Beyond Constituency and Dependency
4. Semantics and Beyond
- Clarity in Context: Unveiling Semantic Roles
- Ambiguity Resolution: Making Sense of Polysemy in NLP
- Pragmatics and NLP: Understanding Language Use in Context
5. Statistical Language Processing
- Probability and Language: An Introduction to Statistical Models
- Hidden Markov Models and N-Grams: Predicting Language Patterns
- Bayes Theorem and Machine Learning: Refining Linguistic Predictions
6. Machine Learning for Language
- Supervised Learning: Training Models on Textual Data
- Unsupervised Learning: Discovering Structure in Language
- Neural Networks: Empowering NLP with Deep Learning
7. Natural Processing of Language
- Transforming Text: An Introduction to Text Normalization
- Information Retrieval: Finding Needles in Digital Haystacks
- Text Classification: Categorizing the World of Words
8. Sentiment and Subjectivity
- Mining Opinions: Sentiment Analysis Explained
- Subjectivity Detection: Identifying Bias and Perspective
- Beyond Polarity: Multidimensional Sentiment Modelling
9. Dialogue and Discourse
- The Flow of Conversation: Analyzing Discourse Structures
- Chatbots and Virtual Assistants: NLP in Dialogue Systems
- Cohesion and Coherence: Weaving the Threads of Text
10. Language Generation
- From Concepts to Words: The Process of Language Generation
- Automated Writing Assistance: From Grammar Checkers to Co-Writers
- Creative AI: Exploring the Frontiers of Computer-Generated Text
11. Speech Processing
- Voice to Text: Technologies Behind Speech Recognition
- From Text to Speech: The Magic of Synthesis
- Accents and Dialects: Speech Processing in a Multilingual World
12. The Future of Words
- Emerging Trends in NLP: A Look Ahead
- Ethics in NLP: Addressing Bias and Fairness
- Towards a Multilingual Future: NLP Across Languages and Cultures
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