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Register a new userNatural Language Processing for Computer Scientists and Data Scientists at a Large State University
معالجة اللغة الطبيعية لعلماء الكمبيوتر وعلماء البيانات في جامعة ولاية كبيرة
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يتغير مجال معالجة اللغة الطبيعية (NLP) بسرعة، مما يتطلب عروض الدورة التدريبية للتكيف مع تلك التغييرات، و NLP ليس فقط لعلماء الكمبيوتر؛إنه مجال يجب أن يكون متاحا لأي شخص لديه خلفية كافية.في هذه الورقة، أشرح كيف يمكن إعداد الطلاب الذين لديهم خلفيات علوم الكمبيوتر وعلوم البيانات جيدا لدورة NLP الشعبة العليا في جامعة ولاية كبيرة.تغطي الدورة نظرية الاحتمالات ونظرية المعلومات، واللطاقات الأولية، والآلة والتعلم العميق، مع محاولة لتحقيق التوازن بين الأفكار والمفاهيم النظرية مع التطبيقات العملية.أشرح أهداف الدورة والمواضيع والواجبات، والتفكير في التعديلات على الدورة خلال السنوات الأربع الماضية، وكذلك ردود الفعل من الطلاب.
The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it's a field that should be accessible to anyone who has a sufficient background. In this paper, I explain how students with Computer Science and Data Science backgrounds can be well-prepared for an upper-division NLP course at a large state university. The course covers probability and information theory, elementary linguistics, machine and deep learning, with an attempt to balance theoretical ideas and concepts with practical applications. I explain the course objectives, topics and assignments, reflect on adjustments to the course over the last four years, as well as feedback from students.
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