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[nl-uiuc] Upcoming talk at the AIIS seminar (this Thursday).


Chronological Thread 
  • From: "Alexandre Klementiev" <klementi AT uiuc.edu>
  • To: nl-uiuc AT cs.uiuc.edu, aivr AT cs.uiuc.edu, dais AT cs.uiuc.edu, cogcomp AT cs.uiuc.edu, vision AT cs.uiuc.edu, krr-group AT cs.uiuc.edu, group AT vision2.ai.uiuc.edu
  • Subject: [nl-uiuc] Upcoming talk at the AIIS seminar (this Thursday).
  • Date: Wed, 7 May 2008 12:10:56 -0500
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Dear faculty and students,

Benjamin Snyder will give a talk (details below) at the AIIS seminar this Thursday.  If you would like to meet with Ben personally, please let me know.

Thank you,
Alex


Title: Multilingual Learning for Unsupervised Linguistic Analysis
Speaker:
Benjamin Snyder, MIT
Date: May 8, 4:00pm
Location: Siebel 3405


Abstract:

For centuries, the deep connection between human languages has fascinated linguists, anthropologists and historians. The study of this connection has made major discoveries about human communication possible: it has revealed the evolution of languages, facilitated the reconstruction of proto-languages, and led to understanding language universals. The connection between languages should be a powerful source of information for automatic linguistic analysis as well. In this line of work I investigate two questions: (i) Can we exploit cross-lingual correspondences to improve unsupervised language learning? (ii) Will this joint analysis provide more or less benefit when the languages belong to the same family?

I will present multilingual generative unsupervised models for morphological segmentation and part-of-speech tagging. In both instances we model the multilingual data as arising through a combination of language-independent and language-specific probabilistic processes. This feature allows the model to identify and learn from recurring cross-lingual patterns to improve prediction accuracy in each language.

I will also discuss ongoing work on the unsupervised decoding of the ancient Ugaritic script using data from related (Semitic) languages.

Bio:

Benjamin Snyder is a third year PhD student at the Computer Science and Artificial Intelligence Laboratory at MIT.




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