Summary of the paper
| Title | Unsupervised Parts-of-Speech Induction for Bengali |
|---|---|
| Authors | Joydeep Nath, Monojit Choudhury, Animesh Mukherjee, Christian Biemann and Niloy Ganguly |
| Abstract | We present a study of the word interaction networks of Bengali in the framework of complex networks. The topological properties of these networks reveal interesting insights into the morpho-syntax of the language, whereas clustering helps in the induction of the natural word classes leading to a principled way of designing POS tagsets. We compare different network construction techniques and clustering algorithms based on the cohesiveness of the word clusters. Cohesiveness is measured against two gold-standard tagsets by means of the novel metric of tag-entropy. The approach presented here is a generic one that can be easily extended to any language. |
| Language | Single language |
| Topics | Tagging, Acquisition, Machine Learning, Morphology |
Full paper |
Unsupervised Parts-of-Speech Induction for Bengali |
Slides |
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| Bibtex | @InProceedings{NATH08.309, author = {Joydeep Nath, Monojit Choudhury, Animesh Mukherjee, Christian Biemann and Niloy Ganguly}, title = {Unsupervised Parts-of-Speech Induction for Bengali}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |