Natural language and machine translation

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021.

This book constitutes the refereed proceedings of the 17th International Semantic Web Conference, ESWC 2020, held in Heraklion, Crete, Greece.

This book constitutes the thoroughly refereed proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2017, held in Funchal, Madeira, Portugal, in November 2017.

This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.

Create conversational UIs using cutting-edge frameworksKey FeaturesBuild AI chatbots and voicebots using practical and accessible toolkitsDesign and create voicebots that really shine in front of humansWork with familiar appliances like Alexa, Google Home, and FB MessengerDesign for UI success across different industries and use casesBook DescriptionWe are entering the age of conversational interfaces, where we will interact with AI bots using chat and voice.

Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensimImplement common and not-so-common linguistic processing tasks using Python librariesOvercome the common challenges faced while implementing NLP pipelinesBook DescriptionPython is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data.

Get well-versed with traditional as well as modern natural language processing concepts and techniquesKey FeaturesPerform various NLP tasks to build linguistic applications using Python librariesUnderstand, analyze, and generate text to provide accurate resultsInterpret human language using various NLP concepts, methodologies, and toolsBook DescriptionNatural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text.

Philosophy of Linguistics investigates the foundational concepts and methods of linguistics, the scientific study of human language.

Learn advanced techniques to improve the performance and quality of your predictive modelsKey FeaturesUse ensemble methods to improve the performance of predictive analytics modelsImplement feature selection, dimensionality reduction, and cross-validation techniquesDevelop neural network models and master the basics of deep learningBook DescriptionPython is a programming language that provides a wide range of features that can be used in the field of data science.

As the digital world expands and cyber threats grow more sophisticated, the need for insights from diverse disciplines becomes crucial.

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science.

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science.

This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Gottingen, Germany, in November 2016.

The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019.

This book constitutes the refereed proceedings of the 10th International Conference of the CLEF Association, CLEF 2019, held in Lugano, Switzerland, in September 2019.

In today's rapidly evolving healthcare environment, one technology stands at the forefront of innovation: large language models (LLMs).

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry.

This book contains original reviews by well-known workers in the field of mathematical linguistics and formal language theory, written in honour of Professor Solomon Marcus on the occasion of his 70th birthday.

Computer understanding of natural language (NL) is commonly considered as extracting "e;sense"e; from NL texts.

In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc.

It is widely acknowledged that natural language processing, as an indispensable means for information technology, requires the strong support of world knowledge as well as linguistic knowledge.

After decades of research activity, Chinese spoken language processing (CSLP) has advanced considerably both in practical technology and theoretical discovery.

This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis.

This is the first book that takes a detailed look at the importance of phase in the design of speech processing systems.

Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises.

This book discusses some of the basic issues relating to corpus generation and the methods normally used to generate a corpus.

This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP).

This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021.

This book discusses various aspects of text data mining.

Many AI (and machine learning) tasks present in dual forms, e.

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning.

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years.

This book offers a broad and structured overview of the state-of-the-art methods that could be applied for context-dependent languages like Arabic.

This volume represents the first attempt in the field of language pedagogy to apply a systems approach to issues in English language education.

The book presents the history of time-domain representation and the extent of its development along with that of spectral domain representation in the cognitive and technology domains.

This book discusses some of the basic issues relating to corpus generation and the methods normally used to generate a corpus.

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing.

This book applies formal language and automata theory in the context of Tibetan computational linguistics; further, it constructs a Tibetan-spelling formal grammar system that generates a Tibetan-spelling formal language group, and an automata group that can recognize the language group.

This book discusses key issues of corpus linguistics like the definition of the corpus, primary features of a corpus, and utilization and limitations of corpora.

The book is concerned with contemporary methodologies used for automatic text summarization.

The book is concerned with contemporary methodologies used for automatic text summarization.

This book comprehensively examines the development of translator and interpreter training using bibliometric reviews of the state of the field and empirical studies on classroom practice.

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing.

This Pivot reconsiders the controversial literary figure of Lin Shu and the debate surrounding his place in the history of Modern Chinese Literature.

This festschrift volume brings together important contributions by expert syntacticians across the globe on tense and finiteness, adjectives, dative and ergative case, acquisition of case, and other topics both within the domain of Dravidian linguistics and in the broader theoretical understanding of cross-linguistic data.

This contributed volume discusses in detail the process of construction of a WordNet of 18 Indian languages, called "e;Indradhanush"e; (rainbow) in Hindi.

Automático (Machine Learning).