Readings | Homeworks and Project | Participation | Grading | Schedule and Handouts


Instructor:Jirka Hana
e-mail for homeworks etc:  Jirka.LastName@gmail.com (start the email's subject with NPFL096)
Office hours: by appointment
Time & Place: Tue 12:20-13:50 in S1 (Malá Strana)

1  Description and objectives of the course

This course will introduce you to the methods of processing morphology of natural languages. It covers both supervised and unsupervised methods of morphological analysis, morpheme segmentation, lexicon creation, etc. Most of the course consists of discussion of important papers in the field. You will replicate or extend a system from one of the papers.

2  Readings and discussion

In each class, we will discuss one or more papers (sometimes books or dissertations). It is expected that everybody will have read the papers. For each paper, one or two people will be responsible for leading the discussion (in some cases it will be me).

3  Homeworks/Projects

There are two small projects/home-works and one bigger project.
Homework Due
[HW 1 - Goldsmith] Apr 10
HW 2 - Morph Jul 31
Project Jul 31

5  Active class participation

"Active participation" refers to your comments and questions during class, your answers to my questions, etc. I do not keep track of whether your answers, etc. are correct, but simply whether or not you participate. It is important that you read the assigned papers (especially if you are leading the discusssion).

6  Grading

Homeworks 0-20
Project 0-50
Active class participation 0-30
Total: 0-100

Grade Points
1 90-100
2 76-89
3 60-75
4 0-59

4  Schedule

Date   Topic Related/Other papers
1 Mar me Introduction; Morphology [slides]  
8 Mar me FS Technology; Morphological Analysis; Two-level morphology [slides]  
15 Mar me Corpora, Tagsets, Annotation  
22 Mar me A. Feldman & J. Hana (2010). A resource-light approach to morpho-syntactic tagging (Chapter 6 - MA)  
29 Mar me A. Feldman & J. Hana (2010). A resource-light approach to morpho-syntactic tagging (Chapter 7 - Tagging, Cognates)  
5 Apr Loganathan J. Goldsmith (2001). Unsupervised Learning of the Morphology of a Natural Language.  
12 Apr   M. Belkin & J. A. Goldsmith (2002): Using eigenvectors of the bigram graph to infer morpheme identity.  
19 Apr Josef P. Schone & D. Jurafsky (2001): Knowledge-free induction of inflectional morphologies P. J. Schone (2001): Toward knowledge-free induction of machine-readable dictionaries.
26 Apr Loganathan D. Yarowsky. & R. Wicentowski (2000): Minimally Supervised Morphological Analysis by Multimodal Alignment. R. Wicentowski (2004): Multilingual noise-robust supervised morphological analysis using the WordFrame model.
3 May Josef M. G. Snover & M. R. Brent (2001): A Bayesian model for morpheme and paradigm identification.  
10 May Rado Morfessor: M. Creutz and K. Lagus (2007): Unsupervised models for morpheme segmentation and morphology learning. Creutz, M (2006): Induction of the Morphology of Natural Language (thesis)
17 May Rado C. Monson (2009): ParaMor: From Paradigm Structure to Natural Language Morphology Induction. (thesis) C. Monson et al. (2009): ParaMor and Morpho Challenge 2008.; T. Tchoukalov, C. Monson & B. Roark (2010): Morphological Analysis by Multiple Sequence Alignment.
24 May      
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