Morphological Analyzer for Maithili using Machine Learning
Language: English
Published by Eliva Press, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 127.55
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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 '¿¿¿¿¿' (pähaich¿) must be broken down to its root, '¿¿' (päha), meaning 'to read,' and the suffix '-¿¿¿' (-aich¿), which denotes the first-person singular present tense. Similarly, '¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿' (vidy¿rth¿har¿le) contains the base word '¿¿¿¿¿¿¿¿¿¿' (vidy¿rth¿) for 'student,' the plural marker '-¿¿¿' (-har¿), and the case marker '-¿¿' (-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.…
Seller Inventory # 9789999329897
- Title
- Morphological Analyzer for Maithili using Machine Learning
- Author
- Prabhat Kumar Singh
- Publisher
- Eliva Press
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9999329896
- ISBN 13
- 9789999329897
- Item weight
- 228 grams
- Dimensions
- 229x152x8 mm
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 5 to 7 business days | 7 to 10 business days |
|---|---|---|
| First item | US$ 35.03 | US$ 35.03 |
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