TIMON-NLP-FINAL (1) PDF

Natural Language Processing (NLP) a field of artificial intelligence that helps computers understand and interact with living human language, or “computational techniques for learning, understanding, and producing human language content” (Hirschberg and Manning, 2015) For example, when you use...

Natural Language Processing (NLP) a field of artificial intelligence that helps computers understand and interact with living human language, or “computational techniques for learning, understanding, and producing human language content” (Hirschberg and Manning, 2015) For example, when you use a voice assistant like Siri or Alexa, NLP is what allows them to understand your spoken commands and respond appropriately. RESEARCH & LANGUAGE: THE CLASSICAL LANGUAGE TOOLKIT: AN NLP FRAMEWORK FOR PRE- MODERN LANGUAGES STEWART, J., BURNS, P. J., JOHNSON, K. P., & MATTINGLY, W. J. B. (2021)  a software tool designed to help researchers and scholars analyze and understand pre-modern languages— languages that are no longer spoken in their original form Unlike most NLP tools that focus on modern, spoken languages, the CLTK is tailored to handle the unique challenges of historical languages. Additionally, there are ongoing efforts to digitize historical documents to help their preservation and to improve their accessibility to further the possibility of discovering interesting features (Bernardo et al., 2021)  NLP... has revolutionized language research and accessibility. It enables cross-lingual communication, preserves endangered languages, and offers data-driven insights across various fields. By analyzing vast amounts of text data, NLP has fostered interdisciplinary collaborations, leading to significant advancements in linguistics, computer science, psychology, and more. INTERNET: Recommendation System Development Based on Intelligent Search, NLP and Machine Learning Methods Balush, I., Vysotska, V., & Albota, S. (2021, June)  Collaborative filtering is a technique used in recommender systems to predict a user’s interests by collecting preferences from many users. By analyzing content and user preferences, NLP enables Netflix to identify and recommend movies and TV shows that align with user interests. This personalized approach enhances user satisfaction, increases revenue, and facilitates content discovery.  INTERNET NLP enhances the accuracy of search engines by understanding user intent, helps social media platforms in content moderation by detecting harmful material, and improves user experience through personalized content recommendations.  REFERENCES Balush, I., Vysotska, V., & Albota, S. (2021, June). Recommendation System Development Based on Intelligent Search, NLP and Machine Learning Methods. In MoMLeT+ DS (pp. 584-617). https://ceur- ws.org/Vol-2917/paper39.pdf Bernardo, A.D., Poetto, S., Sillano, P., & Villata, B. (2021). Latin writing styles analysis with Machine Learning: New approach to old questions. https://www.researchgate.net/publication/354329125_Latin_writing_styles_analysis_with_Machine_Le arning_New_approach_to_old_questions Hirschberg, J., & Manning, C. D. (2015). Advances in natural language processing. Science, 349(6245), 261-266. https://www.science.org/doi/abs/10.1126/science.aaa8685 Johnson, K. P., Burns, P. J., Stewart, J., Cook, T., Besnier, C., & Mattingly, W. J. (2021, August). The Classical Language Toolkit: An NLP framework for pre-modern languages. https://aclanthology.org/2021.acl-demo.3/