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Author: Niladri Sekhar Dash Publisher: Cambridge University Press ISBN: 1316222683 Category : Foreign Language Study Languages : en Pages : 376
Book Description
This book is a study of modern Bengali words based on the data obtained from a corpus of written texts. The author has used all kinds of data, information and examples from the Bengali corpus to shape up this text. He has made an empirical attempt to analyse Bengali words and other lexical items from the perspective of their surface orthographic representation to understand the internal structure of their composition with a focus on their functional roles in various contexts of their usage within texts. In order to achieve this goal, he has established a link between the internal composition and external representation of words within an interface of usage and function of words in texts. The issues addressed in the book include decomposition of words, interpretation of function of word-formative elements and analysis of lexico-semantic identities of the word-formative elements in relation to their function in words.
Author: Lívia Körtvélyessy Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3111053229 Category : Language Arts & Disciplines Languages : en Pages : 1152
Book Description
This is the very first publication mapping onomatopoeia in the languages of the world. The publication provides a comprehensive, multi-level description of onomatopoeia in the world’s languages. The sample covers six macro-areas defined in the WALS: Euroasia, Africa, South America, North America, Australia, Papunesia. Each language-descriptive chapter specifies phonological, morphological, word-formation, semantic, and syntactic properties of onomatopoeia in the particular language. Furthermore, it provides information about the approach to onomatopoeia in individual linguistic traditions, the sources of data on onomatopoeia, the place and the function of onomatopoeia in the system of each language.
Author: Niladri Sekhar Dash Publisher: Springer Nature ISBN: 9811629609 Category : Computational linguistics Languages : en Pages :
Book Description
This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.
Author: Deepak Gupta Publisher: Springer Nature ISBN: 9811915202 Category : Technology & Engineering Languages : en Pages : 816
Book Description
This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).
Author: Niladri Sekhar Dash
Author: Niladri Sekhar Dash
Author: Niladri Sekhar Dash
Author: Lívia Körtvélyessy
Author: Niladri Sekhar Dash
Author: Deepak Gupta
Author: Shishir Bhattacharja
Author: Adolfo M. García
Author: Harriet Milles
Author: Edward C. Dimock
Author: United States. Office of Education