Artificial Intelligence for Natural Language Processing
暫譯: 自然語言處理的人工智慧

《人工智慧與自然語言處理》提供了對於先進計算方法如何改變機器理解人類語言的全面探索。本書深入探討自然語言處理的核心原則，透過引人入勝的進程 - 從基本的字詞分析到複雜的話語和語用分析 - 將語言理論與尖端的人工智慧方法論相結合。它提供了一個堅實的框架，涵蓋了自然語言處理的理論基礎和實際應用，確保讀者能清楚理解計算機如何有效地處理和解釋人類語言。

本書的特色在於其有條理的結構，指導讀者逐步進行語言分析的每一個層面，並在早期章節的基礎上，最終達成人工智慧在自然語言處理系統中的深度整合。詳細的解釋和範例旨在彌合抽象理論與現實應用之間的鴻溝，使其成為任何希望掌握語言處理細微差別的人的寶貴資源。

**特色**

- 提供從字詞級分析到句法、語義和語用處理的逐步進展
- 提供有關詞義消歧的深入討論，並附有示例
- 探索話語整合和上下文意義，這對現代自然語言處理模型至關重要
- 全面涵蓋人工智慧在自然語言處理中的應用，突顯最先進的計算技術
- 提供清晰、易於理解的解釋，適合初學者和進階從業者

本書非常適合計算機科學、語言學和人工智慧的研究生、研究人員和專業人士。無論您是希望深化理解的資深研究者，還是渴望探索該領域的新手，《人工智慧與自然語言處理》都作為一個重要的學術資源和實用指南，幫助您在不斷演變的語言技術領域中導航。

Dhanalekshmi Prasad Yedurkar is a Postdoctoral Researcher at the University of Augsburg, Germany. She is also affiliated to MIT Art, Design and Technology University, Pune, India, as an Associate Professor in the School of Computing. She earned a PhD on the application of digital signal processing and artificial intelligence in anomaly detection of EEG signal. Her current research interests include natural language processing, tool condition monitoring for CNC processes, diagnosis and prognosis of gear monitoring, biomedical signal processing, machine learning, Internet of Things, and image processing.

Ganesh R. Pathak is an Academic and a Researcher with over 26 years of experience bridging academia and industry. He is currently a Professor and Head of the Department of Computer Science and Engineering at the School of Computing, MIT Art, Design and Technology University, Pune.

He earned a PhD in computer science and engineering with his research focused on developing a security framework for wireless sensor networks. He has published 34 research papers in reputed peer-reviewed journals and conference proceedings, many of which are indexed in Scopus and SCI. His research and teaching interests focus on artificial intelligence, big data analytics, and cognitive modelling. As a mentor, he guides doctoral candidates in artificial intelligence, data science, cloud computing, and security.

Beyond his research, he is an active contributor to the academic and professional community. He serves on various boards of studies, and he contributes as a reviewer and session chair at national and international conferences. Dr. Pathak also promotes automation and e-governance in educational processes within the university. His efforts extend to skill development through numerous organized workshops, seminars, and faculty development programs, which strengthen his role as an admonitor in academia.

Through his scholarly achievements, project leadership, and engagement in the academic community, Dr. Pathak continues to make contributions to the university and various institutions in advancing technology education and research.

Manisha Galphade is an experienced Academic Professional currently working at the School of Computing, MIT Art, Design and Technology University, Pune. With a teaching career spanning 16 years, she has contributed significantly to the field of education. She teaches subjects including machine learning, database management system, theory of computation, data mining, and many more. Throughout her career, she has authored four conference papers, five journal papers, and three book chapters, showcasing her dedication to research and academic development. She is also pursuing a PhD at Veermata Jijabai Technological Institute, Mumbai, furthering her academic expertise. Her research area is artificial intelligence with research interests in time series analysis, image processing, and signal processing. Passionate about fostering innovation and critical thinking, she strives to inspire students to reach their full potential. Her extensive experience and research contributions reflect her commitment to advancing knowledge and fostering growth in her field.

Thompson Stephan earned a PhD at Pondicherry University, India, in 2018, and he has nearly 7 years of academic experience, complemented by full-time research and industry expertise. He serves as an Assistant Professor at the Thumbay College of Management and AI in Healthcare, Gulf Medical University, Ajman, United Arab Emirates. Recognized among Stanford/Elsevier's Top 2% Scientists globally in both 2023 and 2024, Dr. Thompson has received prestigious accolades, including the Best Researcher Award in 2020 and the Protsahan Research Award in 2023, both from the IEEE Bangalore Section, India. His primary research focus is artificial intelligence with specialized expertise in advancing machine learning, data mining, and metaheuristic optimization. With more than 80 Scopus-indexed publications, including 48 in SCI-indexed journals, Thompson's work has garnered significant recognition. He actively contributes as a book editor and reviewer for esteemed international journals, with publications on leading platforms such as IEEE, Elsevier, Taylor & Francis, and Springer.

**Dhanalekshmi Prasad Yedurkar** 是德國奧格斯堡大學的博士後研究員。她同時也在印度浦那的MIT藝術、設計與科技大學擔任計算學院的副教授。她獲得了關於數位信號處理和人工智慧在腦電圖（EEG）信號異常檢測應用的博士學位。她目前的研究興趣包括自然語言處理、CNC過程的工具狀態監控、齒輪監控的診斷與預測、生物醫學信號處理、機器學習、物聯網以及影像處理。

**Ganesh R. Pathak** 是一位學者和研究人員，擁有超過26年的學術與產業橋接經驗。他目前是印度浦那MIT藝術、設計與科技大學計算學院計算機科學與工程系的教授及系主任。他獲得了計算機科學與工程的博士學位，研究重點是為無線感測器網路開發安全框架。他在知名的同行評審期刊和會議論文集中發表了34篇研究論文，其中許多被Scopus和SCI索引。他的研究和教學興趣集中在人工智慧、大數據分析和認知建模。作為導師，他指導博士候選人在人工智慧、數據科學、雲計算和安全領域的研究。

除了研究外，他還積極參與學術和專業社群。他在各種研究委員會任職，並在國內外會議中擔任審稿人和會議主席。Pathak博士還推動大學內部教育過程中的自動化和電子治理。他的努力延伸至透過組織的工作坊、研討會和教師發展計劃進行技能發展，這強化了他在學術界的輔導角色。

透過他的學術成就、項目領導和對學術社群的參與，Pathak博士持續為大學及各機構在推進技術教育和研究方面做出貢獻。

**Manisha Galphade** 是一位經驗豐富的學術專業人士，目前在印度浦那的MIT藝術、設計與科技大學計算學院工作。她的教學生涯長達16年，對教育領域做出了重要貢獻。她教授的科目包括機器學習、資料庫管理系統、計算理論、資料探勘等。她在職業生涯中撰寫了四篇會議論文、五篇期刊論文和三個書章，展現了她對研究和學術發展的奉獻。她目前也在孟買的Veermata Jijabai技術學院攻讀博士學位，進一步提升她的學術專業知識。她的研究領域是人工智慧，研究興趣包括時間序列分析、影像處理和信號處理。她熱衷於促進創新和批判性思維，努力激勵學生發揮其潛力。她的豐富經驗和研究貢獻反映了她對推進知識和促進其領域成長的承諾。

**Thompson Stephan** 於2018年在印度龐迪榭里大學獲得博士學位，擁有近7年的學術經驗，並具備全職研究和產業專業知識。他目前在阿聯酋阿治曼的海灣醫學大學Thumbay管理與人工智慧學院擔任助理教授。Thompson博士在2023年和2024年均被斯坦福/愛思唯爾評選為全球前2%的科學家，並獲得了2020年最佳研究者獎和2023年Protsahan研究獎，均來自印度IEEE班加羅爾分會。他的主要研究重點是人工智慧，專長於推進機器學習、資料探勘和元啟發式優化。Thompson擁有超過80篇被Scopus索引的出版物，其中48篇在SCI索引的期刊上發表，他的工作獲得了顯著的認可。他還積極擔任國際期刊的書籍編輯和審稿人，並在IEEE、愛思唯爾、泰勒與法朗西斯以及施普林格等主要平台上發表文章。