Morphological Analyzer for Maithili using Machine Learning (Paperback)

Language: English

Published by Eliva Press, 2025

9999329896 / 9789999329897

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  • New
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Paperback. I n the ever-expanding landscape of Natural Language Processing (NLP), the ability to dissect and understand the building blocks of a language is a foundational step. While powerful tools for morphological analysis exist for globally dominant languages like English, a vast number of the world's languages, particularly those with rich oral traditions and distinct linguistic structures, have been left behind in the digital revolution. This is especially true for Maithili, a language spoken by millions across the Mithila region of India and Nepal, yet one that has remained largely underrepresented in the digital sphere. The development of a robust morphological analyzer for Maithili is not just a technological feat; it is a critical step toward preserving and promoting its unique heritage in the modern age. Morphological analysis is the process of breaking down words into their constituent morphemes-the smallest units of meaning. For a language like Maithili, with its complex system of verb conjugations, case markers, and grammatical agreements, this task is particularly challenging. A word like "" (pahaichi) must be broken down to its root, "" (paha), meaning "to read," and the suffix "-" (-aichi), which denotes the first-person singular present tense. Similarly, "L" (vidyarthiharule) contains the base word "" (vidyarthi) for "student," the plural marker "-" (-haru), and the case marker "-L" (-le) that indicates the agent of an action. Accurately parsing these structures is essential for any advanced language processing application. Traditional rule-based approaches, which rely on manually created dictionaries and a fixed set of grammatical rules, often fall short when dealing with Maithili. Its extensive irregularities, nuanced phonetic shifts, and a wide array of dialectal variations make it difficult to create a comprehensive and scalable rule set. Any small change or new word would require a manual update to the system, making it brittle and high-maintenance. This is where the power of machine learning provides a transformative solution. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9789999329897

Title
Morphological Analyzer for Maithili using Machine Learning (Paperback)
Author
Prabhat Kumar Singh
Publisher
Eliva Press
Publication year
2025
Condition
new
Binding
Paperback
Language
English
ISBN 10
9999329896
ISBN 13
9789999329897

CitiRetail

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