natural language processing speech (156 résultats)

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paperback. Etat : New. Paperback.Pub Date:2023-10 Pages:164 Publisher:China Labor and Social Security Publishing House Co. Ltd. This set of books consists of: a basic knowledge textbook Basic Knowledge for Artificial Intelligence Engineering and Technical Personnel. and five professional direction textbooks: artificial intelligence chip product implementation. artificial intelligence platform product implementation. natural language and speech processing product implementation. computer vision product implementati.

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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.

Etat : New.

Etat : New. Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives .

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the modern communication age, the use of technology is pervasive in almost all aspects of life. The use of computers, mobile phones, the Internet, and electronic games is increasing all the time, and all of these technologies employ natural language interfaces. Applications such as spellchecking, grammar checking, predictive texting, automatic call answering, speech synthesis, etc., each have language specific elements which are based on fundamental building blocks. This book presents a detailed picture of the development of such fundamental language resources. It describes the development of a tokenizer, a morphological analyser, a part-of-speech tagger, a partial dependency tagger, and a chunker for Irish. It introduces corpus creation, finite-state morphology, rule-based POS tagging and dependency parsing, together with standard methods of evaluation, and full code listings. This makes it an invaluable guide to those interested in Natural Language Processing, especially those developing NLP tools for a language with few pre-existing language resources.

paperback. Etat : New. Language:Chinese.Pub Date:2024-01 Publisher:Machinery Industry Press.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes speech synthesis technology what it is, how it works, and the benefits of using it within voice applications. The book is dedicated to Indian Language, a Marathi Text-To-Speech Synthesizer which is a system that takes Marathi text as input and automatically produces the corresponding Marathi Speech. Such a system is particularly adapted for the delivery of dynamic contents. There is a fundamental difference between the system we are about to discuss here and any other Talking Machine, in the sense that we are interested in the automatic production of new sentences.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Part-of-speech tagging is the process of assigning a part-of-speech or lexical class marker to each word in the given text. Tagging for natural languages is similar to tokenization and lexical analysis for computer languages, except that we encounter ambiguities which are to be resolved. Part-of-speech tagging plays a fundamental role in various Natural Language Processing (NLP) applications such as speech recognition, information extraction, machine translation and word sense disambiguation. Part-of-speech tagging, particularly plays very important role in processing free-word-order languages because such languages have relatively complex morphological structure.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational linguistics (CL) is a discipline between linguistics & computer science, concerned with the computational aspects of the human language faculty. It belongs to the cognitive sciences, linguistics & overlaps with the field of artificial intelligence, a branch of computer science aiming at computational models of human cognition. Natural language processing also overlapping these fields, concerned with the interactions between computers & human languages providing the possibility of natural language interfaces to knowledge bases and natural language translation. CL develop formal models simulating aspects of the human language faculty & implement them as computer programs, which constitute the basis for the evaluation & further development of the theories. In addition to linguistic theories, findings from cognitive psychology play a major role in simulating linguistic competence. Within psychology, it is mainly the area of psycholinguistics that examines the cognitive processes constituting human language use. The relevance of computational modelling for psycholinguistic research is reflected in the emergence of a new sub discipline: computational psycholinguistics.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic translation of spoken language is a challenging task that involves several natural language processing (NLP) software modules such as automatic speech recognition (ASR) and machine translation (MT) systems. In recent years, statistical approaches to both ASR and MT were proven to be effective on a large number of translation tasks. Yet the systems involved in speech translation are often developed independently of each other. This work explains how a significant improvement of speech translation quality can be obtained by enhancing the interface between various statistical NLP systems involved in the task of translating human speech. The whole pipeline is considered: ASR, automatic sentence segmentation, machine translation using several systems which take single best or multiple ASR hypotheses as input and employ different translation models, combination of different MT systems. The coupling between the various components is reached through combination of model scores and/or hypotheses as well as through development of new and modifications of existing algorithms to handle ambiguous input or to meet the constraints of the downstream components.