When the course guarantor is selected, comments will be displayed regarding his/her teaching performance as well as that of all the other teachers teaching the course. If a teacher who is not the course guarantor is selected, only comments related to his/her teaching will be displayed.
RNDr. Daniel Zeman, Ph.D. [32-UFAL], Morphological and Syntactic Analysis [NPFL094, přednáška]
Student has disallowed display of personal data, 06.01.2024, 1. ročník, Computer Science - Language Technologies and Computational Linguistics, Master's (post-Bachelor)
The lecturer seems to be very well-educated and experienced in the course topic, but his knowledge covers mainly old techniques and very niche solutions. Moreover, the whole lecture about the Chinese language seems unnecessary since the unique features of this language and solutions to processing hieroglyphs can be discussed in less than 90 minutes. Finally, the homework assignments were a bit unclear in the formulation.
Comment on course, Morphological and Syntactic Analysis [NPFL094, přednáška]
Student has disallowed display of personal data, 06.01.2024, 1. ročník, Computer Science - Language Technologies and Computational Linguistics, Master's (post-Bachelor)
In the middle of the course, I realized that I don't want to work on MSA in the future, and prefer to stay far away from it - the course is worth taking just to get this insight. MSA is one of the most vague aspects of NLP and there are a lot of ambiguous problems in terms of word/sentence processing. Implementing stem extraction and part-of-speech tagging for English (not even Czech) words was pretty challenging since I had to write a handful of rules by myself and make sure the algorithm was accurate enough. To be honest, I have rewritten the code several times because the assignment task sounded too easy to give up - it fired me up with a sporting interest to make the program work in the right way. To sum up, it's an interesting one, but I'd rather not spend my time on something like that in my academic career.
