UMIACS Computational Linguistics Colloquium Series, Fall 2000

UMIACS Computational Linguistics Colloquium Series, Fall 2000


Time and Location (yet another new day and time!)

Speakers:

Date Speaker Affiliation Title, abstract, other info
Aug 30
Special time: 2pm
Sam Tseng Fu Jen Catholic University, Taiwan; Visiting Professor, CLIS Document Image Retrieval for Chinese News
Sep 20
Special room: AVW 1112
Mona Diab UMD An Unsupervised Method for Multilingual Word Sense Tagging Using Parallel Corpora (practice talk)
Oct 4 Nizar Habash UMD oxyGen: A Language Independent Linearization Engine (practice talk)
Oct 11 Gina Levow, Doug Oard, and Jianqiang Wang UMD Cross-Language Retrieval from Mandarin Speech: The MEI Project
Oct 18 Doug Jones Firespout, Inc. A 'Reverse-Turing' Scoring Function for Quality Driven Machine Translation
Oct 24, 4pm Special day/time Justine Cassell MIT The Good Enough Listener: Applying Narrative Technologies and Embodied Conversational Agents to Children's Literacy
Nov 13, 10am Special day/time Jianfeng Gao and Ming Zhu Microsoft Research China A Unified Approach to Statistical Language Modeling for Chinese and A Block-Based Robust Dependency Parser for Unrestricted Chinese Text
Date TBA Noah Smith UMD Talk on statistical MT models (title TBA)

Meeting with Speakers

Those interested in meeting with a speaker during his or her visit should contact Denise Best (denise@cfar.umd.edu). or Philip Resnik (resnik@umiacs.umd.edu).

Directions

Of Related Interest

People who attend the CL colloquium series are encouraged to also attend the LAISEM (Logic and Artificial Intelligence) series Mondays at 11am, and the Linguistics colloquium series Fridays at 2pm; also check out the Linguistics Lunch Talks Thursdays at 12:30pm. Many talks in these series are likely to be of interest to computational linguists.

Series Organizer

Colloquia from Previous Semesters


This series is sponsored by the University of Maryland Language and Media Processing Laboratory, under a contract from the Department of Defense.