New Schedule

Schedule for each session:

15.15 - 16.45

17.00 - 18.30

The session on March 27th will most probably be a short one (15.15 - 16.45).

All times are Eastern Africa Time (EAT), i.e. local time of Addis Ababa

Sessions

Date		Tasks	Deadlines
15.2.2023	Wednesday	Introduction
17.2.2023	Friday	ch. 2: Regular Expressions, Text Normalization, Edit Distance Questions and answers
		ch. 3: N-gram Language Models QA
20.2.2023	Monday	ch. 6: Vector Semantics and Embeddings QA
From here the new Schedule starts:
22.2.2023	Wednesday	ch. 5.1 - 5.7: Logistic Regression Questions for self-monitoring QA
		ch. 7: Neural Networks and Neural Language Models QM QA
6.3.2023	Monday	ch. 8.1-8.4 Sequence labeling QM QA
		ch. 9.1-9.5: RNNs and LSTMs QM QA
8.3.2023	Wednesday	ch. 9.7-9.8: RNNs and LSTMs QM QA	Outline of the essay
		ch. 13.1-13.3: Machine Translation QM QA
10.3.2023	Friday	ch. 10: Transformers and Pretrained Language Models QM QA
		ch. 13.4-13.6 Machine Translation QM QA
13.3.2023	Monday	ch. 14.5.-14.7: Question Answering and Information Retrieval QM
		ch. 16.1,16.3-16.5: Automatic Speech Recognition QM
20.3.2023	Monday	Mulualem Wordofa: Amharic semantic role labeling (morpheme based role assignment )	Essay 1st draft
		Yesuf Mohamed: Semantic role tagging for Under resourced language
21.3.2023	Tuesday	Addis Hailu: The impact of sentiment analysis on customer feedback management
		Liyachew Edeti: Why are LSTM less powerful than transformer models?
22.3.2023	Wednesday	Dagne Minda: A Named Entity Recognition for Amharic
		Destalem Hagos: Neural machine Translation for Low Resource Languages
27.3.2023	Monday	Discussion of the status of essay writing	Review of the draft version
10.4.2023	Monday	--- no meeting ---	Final version of the essay
17.4.2023	Monday	Tadesse Kassa: Morphological analysis for transformer-based translation between Ge'ez and Amharic	Review of the final version
		Final wrap up

Note on the questions for self-monitoring

Under the links behind the reading assignments I have compiled lists of questions which could help you to monitor your learning progress. If you can answer them, you have reached a sufficiently deep understanding of the concepts introduced in the respective chapter. If not, you should consult the relevant section again.

-- WolfgangMenzel - 20 Feb 2023