کتاب های موجود در دسته بندی پردازش زبان طبیعی

Foundations of Machine Learning
Published on: 2012
Advanced Natural Language Processing English

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical …
Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)
Published on: 2021
Beginner Natural Language Processing English

Learn how to redesign NLP applications from scratch. Key Features Get familiar with the basics of any Machine Learning or …

Deep Learning NLP Applications Python TensorFlow
An Introduction to Corpus Linguistics (Studies in Language and Linguistics)
Published on: 1998
Beginner Natural Language Processing English

The use of large, computerized bodies of text for linguistic analysis and description has emerged in recent years as one …

corpus linguistics methodology analysis language
The Cambridge History of the English Language, Vol. 5: English in Britain and Overseas: Origins and Development (Volume 5)
Published on: 1995
Beginner Natural Language Processing English

Volume 5 of The Cambridge History of the English Language looks at the dialects of England since 1776, the historical …

English History Language Development Britain
Text mining and visualization : case studies using open-source tools
Published on: 2016
Beginner Natural Language Processing English

Data Analysis Open-Source Visualization Case Studies Text Mining
Italo-Celtic Origins and Prehistoric Development of the Irish Language (Leiden Studies in Indo-European 14)
Published on: 2007
Beginner Natural Language Processing English

This volume offers a discussion of the phonological and morphological development of Old Irish and its Indo-European origins. The emphasis …
French Inside Out: The Worldwide Development of the French Language in the Past, the Present and the Future
Published on: 1993
Beginner Natural Language Processing English

In this comprehensive introduction, Henriette Walter provides the reader with a panoramic view of the development of the French language …

Linguistics Francophonie Evolution Globalization History
Mastering Natural Language Processing with Python
Published on: 2016
Beginner Natural Language Processing English

Maximize your NLP capabilities while creating amazing NLP projects in PythonAbout This BookLearn to implement various NLP tasks in PythonGain …

NLP Python Machine Learning Text Processing Libraries
The Role of Semantic, Pragmatic, and Discourse Factors in the Development of Case (Studies in Language Companion Series)
Published on: 2009
Beginner Natural Language Processing English

case development semantics pragmatics discourse
Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka and more
Published on: 2017
Unordered Natural Language Processing English

Java Machine Learning MLlib Weka DL4j
A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
Published on: 2007
Beginner Natural Language Processing English

An accessible and up-to-date treatment featuring the connection between neural networks and statisticsA Statistical Approach to Neural Networks for Pattern …

Neural Networks Pattern Recognition Computational Statistics Statistical Methods Machine Learning
Language Development and Learning to Read: The Scientific Study of How Language Development Affects Reading Skill (Bradford Books)
Published on: 2005
Beginner Natural Language Processing English

Research on reading has tried, and failed, to account for wide disparities in reading skill even among children taught by …
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
Published on: 2019
Beginner Natural Language Processing English

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text …

NLP Python Text Mining Machine Learning Sentiment Analysis
Natural Language Processing with Python Cookbook: Over 60 recipes to implement text analytics solutions using deep learning principles
Published on: 2017
Unordered Natural Language Processing English

Learn the tricks and tips that will help you design Text Analytics solutions Key Features ● Independent recipes that will …

NLP Python Cookbook Deep Learning Text Analytics
The Development of Standard English, 1300-1800: Theories, Descriptions, Conflicts (Studies in English Language)
Published on: 2000
Beginner Natural Language Processing English

Standardization Historical Linguistics English Variation
Statistical language models for information retrieval
Published on: 2008
Beginner Natural Language Processing English

As online information grows dramatically, search engines such as Google are playing a more and more important role in our …

Language Modeling Information Retrieval Probabilistic Models Query Likelihood Text Processing
Variation, Selection, Development: Probing the Evolutionary Model of Language Change
Published on: 2008
Beginner Natural Language Processing English

Can language change be modelled as an evolutionary process? Can notions like variation, selection and competition be fruitfully applied to …

Evolution Language Change Model Development
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Published on: 2012
Beginner Natural Language Processing English

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent …

Pattern Recognition Modular Neural Networks Type-2 Fuzzy Systems Machine Learning Intelligent Systems
GPT-3: Building Innovative NLP Products Using Large Language Models
Published on: 2022
Intermediate Natural Language Processing English

GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched …

GPT-3 NLP Innovation Language Models Products
English Corpus Linguistics: An Introduction
Published on: 2002
Beginner Natural Language Processing English

This step-by-step guide to creating and analyzing linguistic corpora discusses the role that corpus linguistics plays in linguistic theory. It …

Corpus Linguistics English Analysis Data
Machine Learning for Text
Published on: 2018
Beginner Natural Language Processing English

NLP Algorithms Text Mining Python Sentiment Analysis
Culture-Specific Language Styles: The Development of Oral Narrative and Literacy (Child Language and Child Development, 1)
Published on: 2002
Beginner Natural Language Processing English

Communication skills are considered extremely important for the development, preservation, and transmission of culture to future generations, and incorporate the …
English Corpus Linguistics: An Introduction (Studies in English Language)
Published on: 2002
Beginner Natural Language Processing English

This step-by-step guide to creating and analyzing linguistic corpora discusses the role that corpus linguistics plays in linguistic theory. It …

corpus linguistics analysis language methodology
Mastering Java Machine Learning
Published on: 2017
Unordered Natural Language Processing English

Java Machine Learning Data Analysis Algorithms Implementation
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Published on: 2017
Beginner Natural Language Processing English

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, …

R Data Tidyverse Visualization Modeling
Text Mining with R: A Tidy Approach
Published on: 2017
Intermediate Natural Language Processing English

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data …

R text mining tidyverse data analysis visualization
Artificial Intelligence: A Modern Approach
Published on: 1995
Beginner Natural Language Processing English

This is an introduction to the theory and practice of artificial intelligence. It uses an intelligent agent as the unifying …
Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications
Published on: 2021
Beginner Natural Language Processing English

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural …

NLP Python Machine Learning Text Analytics Solutions
The Oxford Handbook of Computational Linguistics
Published on:
Beginner Natural Language Processing English

Oxford University Press, 2003. — 770 pages. — ISBN 0-I9-823882-7.Computational Linguistics is an interdisciplinary field concerned with the processing of …

Computational Linguistics Techniques Applications Advances
Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems
Published on: 2017
Beginner Natural Language Processing English

Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from …

deep learning NLP models natural language algorithms
Neural Network Methods for Natural Language Processing
Published on: 2017
Beginner Natural Language Processing English

deep learning NLP neural networks algorithms language models
Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Published on: 2021
Beginner Natural Language Processing English

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary …
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
Published on: 2019
Advanced Natural Language Processing English

"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as …
Natural Language Processing with Transformers: Building Language Applications with Hugging Face
Published on: 2022
Intermediate Natural Language Processing English

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of …

Transformers NLP Hugging Face Machine Learning Applications
Advances in the Spoken-Language Development of Deaf and Hard-of-Hearing Children (Perspectives on Deafness)
Published on:
Beginner Natural Language Processing English

Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
Published on: 2023
Intermediate Natural Language Processing English

Build advanced Natural Language Understanding Systems by acquiring data and selecting appropriate technology. Key Features • Master NLU concepts from …

NLP Deep Learning Large Models Python Comprehension
Machine Learning for Text (Instructor's Solution Manual) (Solutions)
Published on: 2017
Beginner Natural Language Processing English

official instructor's manual for "Machine Learning for Text" (2017), directly obtained through www.springer.com website

NLP Text Analytics Algorithms Solutions Instructor

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پردازش زبان طبیعی

پردازش زبان طبیعی (NLP) یکی از زیرشاخه‌های مهم و پرکاربرد در حوزه علوم کامپیوتر و هوش مصنوعی است که به مطالعه و توسعه الگوریتم‌ها و مدل‌هایی می‌پردازد که به ‌صورت خودکار قادر به تحلیل، فهم و تولید زبان انسانی هستند.

مقدمه‌ای بر پردازش زبان طبیعی

پردازش زبان طبیعی، به ماشین‌ها این امکان را می‌دهد تا زبان انسان را به شکل‌هایی که قابل تحلیل توسط کامپیوتر باشد تبدیل کنند. این شاخه علمی، نقش حیاتی در بهبود تعاملات انسان و ماشین‌ها بازی می‌کند و دستاوردهای آن در تکنولوژی‌های روزمره‌ای مانند دستیارهای صوتی، اپلیکیشن‌های ترجمه زبان و حتی چت‌بات‌ها قابل مشاهده است.

کاربردها و اهمیت پردازش زبان طبیعی

پردازش زبان طبیعی دارای کاربردهای وسیعی است که از جمله می‌توان به ترجمه ماشینی، تحلیل احساسات، تبدیل گفتار به متن، تولید خودکار متن و استخراج اطلاعات اشاره کرد. این قابلیت‌ها به بهبود خدمات اینترنتی، بهینه‌سازی فرآیندهای پشتیبانی مشتری و ارائه تحلیل‌های عمیق از داده‌های زبان‌محور کمک شایانی می‌کنند. علاوه بر این، در حوزه‌های مختلفی مانند پزشکی، حقوق، و آموزش نیز مورد استفاده قرار می‌گیرد و می‌تواند مشکلات پیچیده‌ای را با دقت و سرعت بالا حل کند.

چالش‌های پردازش زبان طبیعی

با وجود پیشرفت‌های چشمگیر در زمینه پردازش زبان طبیعی، چالش‌های متعددی همچنان وجود دارند. زبان‌های انسانی به‌طور طبیعی دارای ابهامات، نمادگرایی و پیچیدگی‌های فرهنگی هستند که تفسیر و فهم درست آنها را برای ماشین‌ها دشوار می‌کنند. همچنین موضوعاتی مانند انگلیسی‌زبان محوری و نیاز به داده‌های بزرگ و پیچیده برای آموزش مدل‌های زبان نیز از دیگر چالش‌ها محسوب می‌شوند.

فناوری‌های نوین در پردازش زبان طبیعی

فناوری‌های جدیدی مانند یادگیری عمیق و شبکه‌های عصبی مصنوعی، تقویت قابل توجهی به قابلیت‌های پردازش زبان طبیعی بخشیده‌اند. مدل‌های زبانی بزرگ مانند BERT و GPT نقش مهمی در پیشرفت این حوزه ایفا کرده‌اند و امکان درک عمیق‌تر و تولید متن‌های پیچیده‌تری را فراهم نموده‌اند. این فناوری‌ها به الگوریتم‌های NLP قدرت بیشتری برای تجزیه و تحلیل دقیق‌تر و قابل‌فهم‌تر داده‌های زبان محور می‌دهند.

آینده پردازش زبان طبیعی

آینده پردازش زبان طبیعی بسیار روشن و امیدوارکننده به نظر می‌رسد. با ادامه بهبود و توسعه مدل‌های زبانی و پیشرفت در پیاده‌سازی سیستم‌های هوشمند، انتظار می‌رود که تعاملات انسان و ماشین به سطحی از پیچیدگی و دقت برسند که تا کنون تجربه نشده‌اند. این پیشرفت‌ها نه تنها قابلیت‌های هوش مصنوعی را افزایش می‌دهند، بلکه به صنایع مختلف کمک می‌کنند تا خدمات بهتری ارائه دهند و فرآیندهای خود را بهینه‌سازی کنند.

نتیجه‌گیری

پردازش زبان طبیعی، یکی از جذاب‌ترین و پویا‌ترین شاخه‌های هوش مصنوعی و علوم کامپیوتری است که با استفاده از ترکیب یادگیری ماشین، زبان‌شناسی و مدل‌های آماری، به ماشین‌ها این توانایی را می‌دهد تا با زبان انسان تعامل مستقیم داشته باشند. این حیطه تحقیقاتی به سرعت در حال پیشرفت است و هر روزه دستاوردهای بیشتری در زمینه شناخت و تولید زبان طبیعی ثبت می‌شود. با توجه به رشد سریع فناوری و نیاز روزافزون به هوش مصنوعی در زندگی روزمره، مطالعه و به‌کارگیری پردازش زبان طبیعی نقشی کلیدی در شکل‌دهی به آینده تعاملات انسانی و ماشینی ایفا می‌کند.