This book sheds new light on the form and function of morphemes in construction of words in the Bengali language.

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.

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.

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).

The Present Work Is A Comparative And Descriptive Study Of Languages And Can Be Roughly Called A Survey Of The Dialects Of South Assam And Which Has Resulted In A Large Number Of Valuable Findings, Some Of Them Completely New For The Indo-Aryan Linguists.