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Morphological Analyzer for Maithili using Machine Learning by Prabhat Kumar Singh at Abbey's Bookshop,
Morphological Analyzer for Maithili using Machine Learning
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Prabhat Kumar Singh

Morphological Analyzer for Maithili using Machine Learning

Prabhat Kumar Singh

$155.95   $124.42

Paperback

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English
Eliva Press
05 December 2025
Electronics engineering; Computer science
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 ""पढैछी"" (paṛhaichī) must be broken down to its root, ""पढ"" (paṛha), meaning ""to read,"" and the suffix ""-ैछी"" (-aichī), which denotes the first-person singular present tense. Similarly, ""विद्यार्थीहरूले"" (vidyārthīharūle) contains the base word ""विद्यार्थी"" (vidyārthī) for ""student,"" the plural marker ""-हरू"" (-harū), and the case marker ""-ले"" (-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.
By:  
Imprint:   Eliva Press
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 8mm
Weight:   209g
ISBN:   9789999329897
ISBN 10:   9999329896
Pages:   150
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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