Morphological Analyzer for Maithili using Machine Learning (Paperback)
Language: English
Published by Eliva Press, 2025
- Softcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
US$ 88.28
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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
"Synopsis" may belong to another edition of this title.
CitiRetail
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AbeBooks seller since June 29, 2022
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