Academic Journal
Deep learning neural machine translation conversational agent
العنوان: | Deep learning neural machine translation conversational agent |
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المؤلفون: | Vaid, Abhishek |
المصدر: | Master's Projects |
بيانات النشر: | SJSU ScholarWorks |
سنة النشر: | 2023 |
المجموعة: | San José State University: SJSU ScholarWorks |
مصطلحات موضوعية: | NMT (Neural Machine Translation), AI (Artificial Intelligence), ML (Machine Learning), API (Application programming interface), Artificial Intelligence and Robotics |
الوصف: | Neural Machine Translation (NMT) is a prominent natural language processing technique that is being used to develop conversational AI technology. However, most chatbots do not provide live API features and have list-based scripted responses. Most chatbots are majorly restricted by the training data on which they were trained on and have no knowledge of current events. This research project intends to research and develop an approach to providing live information. We experiment with various techniques in terms of the type of data being used to harness live capabilities. We optimize the hyperparameters that are needed for a Conversational AI agent and focus on using open- source technologies to develop a chatbot. We achieve this flexibility of using multiple open-source technologies by using the microservice architecture to incorporate live API services features in the final achieved product by coupling in RASA actions API. This is a prototype of the advanced edition of chatbots that have become ubiquitously used nowadays. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | unknown |
Relation: | https://scholarworks.sjsu.edu/etd_projects/1215; https://scholarworks.sjsu.edu/context/etd_projects/article/2215/viewcontent/Vaid_Abhishek.pdf |
DOI: | 10.31979/etd.rwkp-9vpa |
الاتاحة: | https://scholarworks.sjsu.edu/etd_projects/1215 https://doi.org/10.31979/etd.rwkp-9vpa https://scholarworks.sjsu.edu/context/etd_projects/article/2215/viewcontent/Vaid_Abhishek.pdf |
رقم الانضمام: | edsbas.AB56E55C |
قاعدة البيانات: | BASE |
DOI: | 10.31979/etd.rwkp-9vpa |
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