Language Identification

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Language Identification

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Language Identification by : Fouad Sabry

Download or read book Language Identification written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Language Identification The difficulty of determining which natural language a piece of information is written in is referred to as language identification or language guessing in the field of natural language processing. The computational approaches to this issue regard it as a particular instance of text categorization, which can then be solved using a variety of statistical techniques. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Language Identification Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Word-sense Disambiguation Chapter 5: Cognitive Linguistics Chapter 6: Part-of-speech Tagging Chapter 7: N-gram Chapter 8: Language Model Chapter 9: Native-language Identification Chapter 10: Word2vec (II) Answering the public top questions about language identification. (III) Real world examples for the usage of language identification in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of language identification' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of language identification.

Language Identification Using Excitation Source Features

Author : K. Sreenivasa Rao
Publisher : Springer
ISBN 13 : 3319177257
Total Pages : 119 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Language Identification Using Excitation Source Features by : K. Sreenivasa Rao

Download or read book Language Identification Using Excitation Source Features written by K. Sreenivasa Rao and published by Springer. This book was released on 2015-04-15 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.

Automatic Language Identification in Texts

Author : Tommi Jauhiainen
Publisher : Springer Nature
ISBN 13 : 3031458222
Total Pages : 155 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Automatic Language Identification in Texts by : Tommi Jauhiainen

Download or read book Automatic Language Identification in Texts written by Tommi Jauhiainen and published by Springer Nature. This book was released on 2024-02-02 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written and is a crucial part of many text processing pipelines. The authors use a unified notation to clarify the relationships between common LI methods. The book introduces LI performance evaluation methods and takes a detailed look at LI-related shared tasks. The authors identify open issues and discuss the applications of LI and related tasks and proposes future directions for research in LI.

Language Identification Using Spectral and Prosodic Features

Author : K. Sreenivasa Rao
Publisher : Springer
ISBN 13 : 3319171631
Total Pages : 98 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Language Identification Using Spectral and Prosodic Features by : K. Sreenivasa Rao

Download or read book Language Identification Using Spectral and Prosodic Features written by K. Sreenivasa Rao and published by Springer. This book was released on 2015-03-31 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.

Prosodic Featured Based Automatic Language Identification

Author : Niraj Singh
Publisher : Educreation Publishing
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4./5 ( download)

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Book Synopsis Prosodic Featured Based Automatic Language Identification by : Niraj Singh

Download or read book Prosodic Featured Based Automatic Language Identification written by Niraj Singh and published by Educreation Publishing. This book was released on 2015-11-02 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Living beings inherently have the ability to differentiate languages as a part of human intelligence. Language Identification (LID) had been a science fiction in 1970's but today; it has been deployed in practical usage. The prosodic features of a speech are relatively simpler in their structure and are accredited to be very affective in some Language Recognition (LR) or LID tasks; irrespective of these features to be biased on numerous factors, as speaker's way of speaking, the culture and background of speaker. The book includes a series of experiments on several speech corpus with different classification or/and identification technique. At the end of each chapter, few review questions have been included and at the verge of the book, a short list of projects for research scholars has been mentioned in addition to a set of MCQs and Important questions. This book motivates for developing a multilingual LID system which can be widely used for betterment of mankind, particularly in the fields of Intelligence Police/Military) services and medical care. In an overview, we may assert that the book explores various experimental datasets, for, performance analysis of LID system with News speech and Natural Conversation speech; Joint Factor Analysis for LR on prosodic featured models and for automatic LID using i-Vector based prosodic system.

Springer Handbook of Speech Processing

Author : Jacob Benesty
Publisher : Springer Science & Business Media
ISBN 13 : 3540491252
Total Pages : 1170 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Springer Handbook of Speech Processing by : Jacob Benesty

Download or read book Springer Handbook of Speech Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2007-11-28 with total page 1170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Extraction and Representation of Prosody for Speaker, Speech and Language Recognition

Author : Leena Mary
Publisher : Springer Science & Business Media
ISBN 13 : 1461411599
Total Pages : 70 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Extraction and Representation of Prosody for Speaker, Speech and Language Recognition by : Leena Mary

Download or read book Extraction and Representation of Prosody for Speaker, Speech and Language Recognition written by Leena Mary and published by Springer Science & Business Media. This book was released on 2011-10-17 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.

Natural Language Processing and Information Systems

Author : Christian Kop
Publisher : Springer Science & Business Media
ISBN 13 : 3540346163
Total Pages : 238 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Natural Language Processing and Information Systems by : Christian Kop

Download or read book Natural Language Processing and Information Systems written by Christian Kop and published by Springer Science & Business Media. This book was released on 2006-05-26 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.

Automatic Speech Recognition and Translation for Low Resource Languages

Author : L. Ashok Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1394214170
Total Pages : 428 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Automatic Speech Recognition and Translation for Low Resource Languages by : L. Ashok Kumar

Download or read book Automatic Speech Recognition and Translation for Low Resource Languages written by L. Ashok Kumar and published by John Wiley & Sons. This book was released on 2024-03-28 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Introduction to Google Translate

Author : Gilad James, PhD
Publisher : Gilad James Mystery School
ISBN 13 : 7819501847
Total Pages : 90 pages
Book Rating : 4.8/5 (195 download)

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Book Synopsis Introduction to Google Translate by : Gilad James, PhD

Download or read book Introduction to Google Translate written by Gilad James, PhD and published by Gilad James Mystery School. This book was released on with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Translate is a multilingual translation service provided by Google. It allows users to translate words, phrases, and entire documents between multiple languages. The service was launched in April 2006 and has since been constantly updated to provide more accurate translations. Initially offering translations in only two languages, Google Translate now supports over 100 languages. The translation process works by analyzing the text or document input by the user, breaking it up into smaller segments, and then using statistical algorithms to match these segments with translations from its database. Google Translate has been a helpful tool for people to communicate across different languages, whether it be for business or personal use. However, it must be noted that automated translations often carry a high risk of inaccuracies due to the complexities inherent in language and the nuances of different cultures and contexts. It is always recommended to use translations as a starting point, and then have a native speaker review and refine the language to ensure accuracy.

Computational Processing of the Portuguese Language

Author : Paulo Quaresma
Publisher : Springer Nature
ISBN 13 : 3030415058
Total Pages : 432 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Computational Processing of the Portuguese Language by : Paulo Quaresma

Download or read book Computational Processing of the Portuguese Language written by Paulo Quaresma and published by Springer Nature. This book was released on 2020-02-24 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Computational Processing of the Portuguese Language, PROPOR 2020, held in Evora, Portugal, in March 2020. The 36 full papers presented together with 5 short papers were carefully reviewed and selected from 70 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality.

Multilingual Phone Recognition in Indian Languages

Author : K.E Manjunath
Publisher : Springer Nature
ISBN 13 : 303080741X
Total Pages : 113 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multilingual Phone Recognition in Indian Languages by : K.E Manjunath

Download or read book Multilingual Phone Recognition in Indian Languages written by K.E Manjunath and published by Springer Nature. This book was released on 2021-10-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents current research and developments in multilingual speech recognition. The author presents a Multilingual Phone Recognition System (Multi-PRS), developed using a common multilingual phone-set derived from the International Phonetic Alphabets (IPA) based transcription of six Indian languages - Kannada, Telugu, Bengali, Odia, Urdu, and Assamese. The author shows how the performance of Multi-PRS can be improved using tandem features. The book compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning is explored to improve the prediction accuracy of AFs. Then, the AFs are explored to improve the performance of Multi-PRS using lattice rescoring method of combination and tandem method of combination. The author goes on to develop and evaluate the Language Identification followed by Monolingual phone recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition systems.

Progress in Pattern Recognition, Image Analysis and Applications

Author : Luis Rueda
Publisher : Springer
ISBN 13 : 3540767258
Total Pages : 972 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : Luis Rueda

Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by Luis Rueda and published by Springer. This book was released on 2007-11-13 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.

Worldwide Language Service Infrastructure

Author : Yohei Murakami
Publisher : Springer
ISBN 13 : 3319314688
Total Pages : 201 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Worldwide Language Service Infrastructure by : Yohei Murakami

Download or read book Worldwide Language Service Infrastructure written by Yohei Murakami and published by Springer. This book was released on 2016-03-22 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-workshop proceedings of the Second International Workshop on Worldwide Language Service Infrastructure, WLSI 2015, held in Kyoto, Japan, in January 2015. The 4 full papers included in this volume and presented together with 2 short papers and 8 invited papers, were carefully reviewed and selected from 7 submissions. The papers are categorized into four parts: introducing metadata and annotations; providing technologies for language service platforms; atomic language services across different interfaces, policies, and development of language resources and services; and collecting reports on language service application.

Computational Linguistics and Intelligent Text Processing

Author : Alexander Gelbukh
Publisher : Springer Science & Business Media
ISBN 13 : 3642003818
Total Pages : 619 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh

Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer Science & Business Media. This book was released on 2009-02-16 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with 4 invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das
Publisher : Springer
ISBN 13 : 9811390428
Total Pages : 1046 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer. This book was released on 2019-08-17 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

Author : D. Jude Hemanth
Publisher : Elsevier
ISBN 13 : 0443220107
Total Pages : 296 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications by : D. Jude Hemanth

Download or read book Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications written by D. Jude Hemanth and published by Elsevier. This book was released on 2024-01-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology. Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm