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Register a new userA Balanced and Broadly Targeted Computational Linguistics Curriculum
مناهج اللغويات الحسابية المتوازنة والموجهة على نطاق واسع
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تصف هذه الورقة أن اللغويات الحاسوبية الدراسات الأولية والمناهج الخليجية في جامعة جورج تاون، وهي جامعة أمريكية شهدت نموا كبيرا في هذه المجالات في السنوات الأخيرة.نحن نفكر في المبادئ وراء اختيارات المناهج الدراسية، بما في ذلك الاعتراف بالمختلف الخلفيات الأكاديمية وأهداف طلابنا؛تدريس مجموعة متنوعة من المهارات مع التركيز على العمل مباشرة مع البيانات؛تشجيع التعاون والعمل متعدد التخصصات؛بما في ذلك اللغات وراء اللغة الإنجليزية.نحن نفكر في التحديات التي واجهناها، مثل صعوبة تدريس مهارات البرمجة إلى جانب أساسيات NLP، ومناقشة المناطق للنمو في المستقبل.
This paper describes the primarily-graduate computational linguistics and NLP curriculum at Georgetown University, a U.S. university that has seen significant growth in these areas in recent years. We reflect on the principles behind our curriculum choices, including recognizing the various academic backgrounds and goals of our students; teaching a variety of skills with an emphasis on working directly with data; encouraging collaboration and interdisciplinary work; and including languages beyond English. We reflect on challenges we have encountered, such as the difficulty of teaching programming skills alongside NLP fundamentals, and discuss areas for future growth.
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