Attention and Vision in Language Processing

Attention and Vision in Language Processing PDF Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132224434
Category : Language Arts & Disciplines
Languages : en
Pages : 217

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Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.

Attention and Vision in Language Processing

Attention and Vision in Language Processing PDF Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132224434
Category : Language Arts & Disciplines
Languages : en
Pages : 217

Get Book Here

Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.

Attention and Vision in Language Processing

Attention and Vision in Language Processing PDF Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 9788132224426
Category : Language Arts & Disciplines
Languages : en
Pages : 0

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Book Description
This volume provides a comprehensive overview of the nature of attentional and visual processes involved in language comprehension. Key concerns include how linguistic and non-linguistic processes jointly determine language comprehension and production and how the linguistic system interfaces with perceptual systems and attention. Language scientists have traditionally considered language in isolation from other cognitive and perceptual systems such as attention, vision and memory. In recent years, however, it has become increasingly clear that language comprehension must be studied within interaction contexts. The study of multimodal interactions and attentional processes during language processing has thus become an important theoretical focus that guides many research programs in psycholinguistics and related fields.

Frequency in Language

Frequency in Language PDF Author: Dagmar Divjak
Publisher: Cambridge University Press
ISBN: 1107085756
Category : Language Arts & Disciplines
Languages : en
Pages : 343

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Book Description
Re-examines frequency, entrenchment and salience, three foundational concepts in usage-based linguistics, through the prism of learning, memory, and attention.

Interaction Between Attention and Language Systems in Humans

Interaction Between Attention and Language Systems in Humans PDF Author: Ramesh Kumar Mishra
Publisher: Springer
ISBN: 8132225929
Category : Psychology
Languages : en
Pages : 264

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Book Description
This original volume examines the interface between attentional and linguistic processes in humans from the perspectives of psycholinguistics and cognitive science. It systematically explores how autonomy and automaticity are reflected during language processing in a variety of situations. A true, mechanistic explanation of how humans process language would require a complete understanding of the interface language has with important cognitive systems like attention, memory, as well as with vision. Interdisciplinary work in this area has so far not been able to generate a substantial theoretical position on this issue. This volume therefore looks at different language processing domains, such as speaking, listening, reading, as well as discourse and text processing, to evaluate the role attention plays in such performances; and also at how often linguistic inputs affect attentional processing. In this sense, it proposes that the attention--language interface is bidirectional. It also considers applied issues like language disorders, bilingualism and illiteracy, where the attention--language interface seems especially relevant as a theoretical apparatus for research investigations. Therefore, this volume brings closer theoretical explanations from the language sciences and cognitive sciences. It argues that language processing is multi-modal in its very essence and many conceptual structures in language evolve out of a complex interplay among participating cognitive systems such as attention and memory, supported by vision and audition.

Developmental Dyslexia across Languages and Writing Systems

Developmental Dyslexia across Languages and Writing Systems PDF Author: Ludo Verhoeven
Publisher: Cambridge University Press
ISBN: 1108428770
Category : Language Arts & Disciplines
Languages : en
Pages : 481

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Book Description
The first truly systematic, multi-disciplinary, and cross-linguistic study of the language and writing system factors affecting the emergence of dyslexia.

Transformers for Natural Language Processing and Computer Vision

Transformers for Natural Language Processing and Computer Vision PDF Author: Denis Rothman
Publisher: Packt Publishing Ltd
ISBN: 1805123742
Category : Computers
Languages : en
Pages : 731

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Book Description
The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision PDF Author: L. Ashok Kumar
Publisher: CRC Press
ISBN: 1000875601
Category : Business & Economics
Languages : en
Pages : 251

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Book Description
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Active Vision

Active Vision PDF Author: John M Findlay
Publisher: Oxford University Press
ISBN: 019852479X
Category : Language Arts & Disciplines
Languages : en
Pages : 235

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Book Description
This title focuses on vision as an active process, rather than a passive activity and provides an integrated account of seeing and looking. The authors give a thorough description of basic details of the visual and oculomotor systems necessary to understand active vision.

Vision and Attention

Vision and Attention PDF Author: Michael Jenkin
Publisher: Springer Science & Business Media
ISBN: 0387215913
Category : Medical
Languages : en
Pages : 348

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Book Description
This is at once a review and a summary of the tremendous advances that have been made in recent years on the effect of attention on visual perception. This broad-ranging volume will appeal to vision scientists as well as to those involved in using visual processes in computer animations, display design or the sensory systems of machines. Physiologists and neuroscientists interested in any aspect of sensory or motor processes will also find it very useful.

Perspectives on Individual Characteristics and Foreign Language Education

Perspectives on Individual Characteristics and Foreign Language Education PDF Author: Wai Meng Chan
Publisher: Walter de Gruyter
ISBN: 1614510938
Category : Language Arts & Disciplines
Languages : en
Pages : 352

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Book Description
Learner characteristics have been at the center of second language acquisition and foreign language education research in response to the puzzling questions: Why are there often large differences in second language (L2) learning achievement and why do many learners, though proficient first language speakers, not succeed in learning a L2? The papers in this book explore and challenge the three key factors in individual difference research: language aptitude, language learning strategies and motivation.