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The Making And Breaking Of Classification Models In Linguistics
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Book Synopsis The Making and Breaking of Classification Models in Linguistics by : Jane Klavan
Download or read book The Making and Breaking of Classification Models in Linguistics written by Jane Klavan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.
Book Synopsis The Making and Breaking of Classification Models in Linguistics by : Jane Klavan
Download or read book The Making and Breaking of Classification Models in Linguistics written by Jane Klavan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.
Book Synopsis Hands-On Large Language Models by : Jay Alammar
Download or read book Hands-On Large Language Models written by Jay Alammar and published by "O'Reilly Media, Inc.". This book was released on 2024-09-11 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pre-trained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large amounts of text documents; and use existing libraries and pre-trained models for text classification, search, and clusterings. This book also shows you how to: Build advanced LLM pipelines to cluster text documents and explore the topics they belong to Build semantic search engines that go beyond keyword search with methods like dense retrieval and rerankers Learn various use cases where these models can provide value Understand the architecture of underlying Transformer models like BERT and GPT Get a deeper understanding of how LLMs are trained Understanding how different methods of fine-tuning optimize LLMs for specific applications (generative model fine-tuning, contrastive fine-tuning, in-context learning, etc.)
Book Synopsis Interpretable Machine Learning by : Christoph Molnar
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Book Synopsis Natural Language Processing in Artificial Intelligence by : Brojo Kishore Mishra
Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.
Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Book Synopsis Computational Linguistics by : Le-Minh Nguyen
Download or read book Computational Linguistics written by Le-Minh Nguyen and published by Springer Nature. This book was released on 2020-07-01 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, held in Hanoi, Vietnam, in October 2019. The 28 full papers and 14 short papers presented were carefully reviewed and selected from 70 submissions. The papers are organized in topical sections on text summarization; relation and word embedding; machine translation; text classification; web analyzing; question and answering, dialog analyzing; speech and emotion analyzing; parsing and segmentation; information extraction; and grammar error and plagiarism detection.
Book Synopsis Approaches to Language Typology by : Masayoshi Shibatani
Download or read book Approaches to Language Typology written by Masayoshi Shibatani and published by Clarendon Press. This book was released on 1999 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language typology is concerned with the construction of theoretical frameworks capable of delimiting the range of human languages and of capturing constraints on cross-linguistic variation. This text offers accounts of the theoretical foundations and findings of leading scholars in this field.
Book Synopsis Handbook of Language Analysis in Psychology by : Morteza Dehghani
Download or read book Handbook of Language Analysis in Psychology written by Morteza Dehghani and published by Guilford Publications. This book was released on 2022-03-02 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.
Book Synopsis Introduction to Neurolinguistics by : Elisabeth Ahlsén
Download or read book Introduction to Neurolinguistics written by Elisabeth Ahlsén and published by John Benjamins Publishing. This book was released on 2006-07-19 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to neurolinguistics is intended for anybody who wants to acquire a grounding in the field. It was written for students of linguistics and communication disorders, but students of psychology, neuroscience and other disciplines will also find it valuable. The introductory section presents the theories, models and frameworks underlying modern neurolinguistics. Then the neurolinguistic aspects of different components of language – phonology, morphology, lexical semantics, and semantics-pragmatics in communication – are discussed. The third section examines reading and writing, bilingualism, the evolution of language, and multimodality. The book also contains three resource chapters, one on techniques for investigating the brain, another on modeling brain functions, and a third that introduces the basic concepts of neuroanatomy and neurophysiology. This text provides an up-to-date linguistic perspective, with a special focus on semantics and pragmatics, evolutionary perspectives, neural network modeling and multimodality, areas that have been less central in earlier introductory works.
Book Synopsis The Directory of Language Categorization by : Ronald Legarski
Download or read book The Directory of Language Categorization written by Ronald Legarski and published by SolveForce. This book was released on 2024-09-12 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Directory of Language Categorization: A Framework for Unified Communication" is an essential guide that delves into the systematic organization of language, offering readers a comprehensive framework for enhancing communication across various fields and disciplines. Written by Ronald Legarski, a seasoned expert in language and communication, this book provides a deep exploration of how language can be categorized and applied to foster clearer, more cohesive communication in both personal and professional contexts. The book presents a meticulously structured approach to language, examining its evolution, categorization, and real-world application. From exploring the intricacies of etymology and phonetics to developing mnemonic systems for language learning, Ronald Legarski introduces a unified framework that simplifies the complexity of language, making it accessible to linguists, educators, translators, and professionals alike. In "The Directory of Language Categorization: A Framework for Unified Communication," readers will discover: The fundamentals of language categorization through alphabetical and hierarchical structures. Detailed explanations of etymology, phonetics, and the International Phonetic Alphabet (IPA). Mnemonic techniques to aid in language learning and retention. Tools and strategies for achieving coherent communication across multiple languages and cultural contexts. Case studies that demonstrate the practical application of linguistic frameworks in education, translation, and technology. Drawing from his extensive experience as a linguist, content creator, and CEO of SolveForce, Ronald Legarski provides unique insights into the intersection of language and technology. His passion for understanding how words function within different contexts offers a fresh perspective on the essential role language plays in shaping our thoughts, interactions, and communication systems. This book is a must-read for anyone looking to deepen their understanding of language, whether for academic purposes, improving multilingual communication, or professional development. With its clear structure and practical examples, "The Directory of Language Categorization: A Framework for Unified Communication" serves as a valuable resource for anyone seeking to master the art of effective communication through a better understanding of language organization.
Book Synopsis Natural Language Processing by : Yue Zhang
Download or read book Natural Language Processing written by Yue Zhang and published by Cambridge University Press. This book was released on 2021-01-07 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Book Synopsis Python for Machine Learning and Natural Language Processing in Robotics and Autonomous Vehicles by : Mr. Akash Arun Kumar Soumya
Download or read book Python for Machine Learning and Natural Language Processing in Robotics and Autonomous Vehicles written by Mr. Akash Arun Kumar Soumya and published by BUDHA PUBLICATION. This book was released on with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: ..
Book Synopsis Quantitative Data Analysis for Language Assessment Volume II by : Vahid Aryadoust
Download or read book Quantitative Data Analysis for Language Assessment Volume II written by Vahid Aryadoust and published by Routledge. This book was released on 2019-07-04 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.
Book Synopsis Models in Software Engineering by : Sudipto Ghosh
Download or read book Models in Software Engineering written by Sudipto Ghosh and published by Springer. This book was released on 2010-04-07 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes a collection of the best papers selected from 9 workshops and 2 symposia held in conjunction iwth MODELS 2009, the 12 International Conference on Model Driven Engineering Languages and Systems, in Denver, CO, USA, in October 2009. The first two sections contain selected papers from the Doctoral Symposium and the Educational Symposium, respectively. The other contributions are organized according to the workshops at which they were presented: 2nd International Workshop on Model Based Architecting and Construction of Embedded Systems (ACES-MB'09); 14th International Workshop on Aspect-Oriented Modeling (AOM); [email protected] ([email protected]); Model-driven Engineering, Verification, and Validation: Integrating Verification and Validation in MDE (MoDeVVa09); Models and Evolution (MoDSE-MCCM); Third International Workshop on Multi-Paradigm Modeling (MPM09); The Pragmatics of OCL and Other Textual Specification Languages (OCL); 2nd International Workshop on Non-Functional System Properties in Domain Specific Modeling Languages (NFPinDSML); and 2nd Workshop on Transformation and Weaving OWL Ontologies and MDE/MDA (TWOMDE2009). Each section includes a summary of the workshop.
Book Synopsis Speech and Language Technologies for Low-Resource Languages by : Anand Kumar M
Download or read book Speech and Language Technologies for Low-Resource Languages written by Anand Kumar M and published by Springer Nature. This book was released on 2023-05-28 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4).
Book Synopsis Quick Start Guide to Large Language Models by : Sinan Ozdemir
Download or read book Quick Start Guide to Large Language Models written by Sinan Ozdemir and published by Addison-Wesley Professional. This book was released on 2024-09-26 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI Agents Master advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAI Construct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasets Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5 Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind Diagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field." --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
