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資料來源: 三民書局
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Empowering low-resource languages with NLP solutions / [edited by] Partha Pakray, Pankaj Dadure, Sivaji Bandyopadhyay.

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"The book aims to fill the gap in the existing literature and shed light on the unique challenges, opportunities, and potential solutions for applying NLP techniques to low-resource languages"--

摘要註

"The book aims to fill the gap in the existing literature and shed light on the unique challenges, opportunities, and potential solutions for applying NLP techniques to low-resource languages"--

內容註

Chapter 1. Datraw, advancing collaborative data collection, and recognition models for low resource languages in the research community -- Chapter 2. Language resource acquisition for low-resource languages in digital discourses -- Chapter 3. Linguistic analyzers of the arabic language: linguistic engineering basis -- Chapter 4. A case study on tools and techniques of machine translation of Indian low resource languages -- Chapter 5. Systematic review of morphological and semantic analysis in a low resource language: Tamil -- Chapter 6. Machine learning approach for kashmiri word sense disambiguation -- Chapter 7. Implementation and analysis of shallow parsing techniques in Khasi language -- Chapter 8. Named entity recognition (NER) in low resource languages of Ho -- Chapter 9. Cross-lingual transfer learning for Bambara leveraging resources from other languages -- Chapter 10. Twitter sentiment analyser using NLP techniques -- Chapter 11. Transformer-based memes generation using text and image -- Chapter 12. Cyberbullying in the digital age: consequences and countermeasures.

資料來源: 三民書局
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