Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning and Cognitive Science of Language Acquisition

event thumbnail image

Machine Learning and Cognitive Science of Language Acquisition

A Bayesian approach to Word Segmentation: Theoretical and Experimental results

author:Sharon Goldwater, Department of Linguistics, Stanford University
published: Oct. 31, 2007, recorded: June 2007, views: 253

Turn off the lights

You might be experiencing some problems with Your Video player.

Slides

Slides
0:00	A Bayesian approach to word segmentation: Theoretical and experimental results
0:15	Word segmentation
1:16	Modeling statistical segmentation
1:53	Outline
2:31	Statistical segmentation
3:25	Interpretation of TPs
4:14	Questions
5:04	Bayesian learning
5:55	Bayesian segmentation
6:58	Brent (1999)
7:43	A new unigram model (Dirichlet process) - part 1
8:31	A new unigram model (Dirichlet process) - part 2
9:50	Unigram model: simulations
10:35	Example results
10:57	Comparison to previous results
11:25	What happened?
12:05	What about other unigram models?
13:06	Bigram model (hierachical Dirichlet process)
13:42	Example results
13:55	Quantitative evaluation
14:25	Summary
15:12	Remaining questions
15:46	Testing model predictions
16:22	Experimental method
17:17	Procedure
17:58	Human performance
18:24	Model comparison
18:57	Models used
19:51	Results: linear fit
21:06	Results: words vs. part-words
22:30	Summary
23:24	Continuing work
24:25	Conclusions

Related content

Visitors who watched this lecture also watched...

Unsupervised Learning of Syntactic Structure
244 views - Chris Manning, 2007

Bayesian models of cross-situational word learning
270 views - Michael Frank, 2007

My Turing Machine or Yours?
484 views - John Goldsmith, 2007

Learning Phonotactic Constraints from Continuous Speech
117 views - Frans Adriaans, 2007

Linguistic Relevance of Unsupervised Data-Oriented Parsing
112 views - Rens Bod, 2007

A Bayesian approach to the Poverty of the stimulus
122 views - Amy Perfors, 2007

Bayesian Inference: Principles and Practice
2325 views - Mike Tipping, 2003

Dirichlet Processes, Chinese Restaurant Processes, and all that
4809 views - Michael I. Jordan, 2005

Linguistically-informed, statistically-driven induction of morphology
113 views - Erwin Chan, 2007

Bayesian Learning
3236 views - Zoubin Ghahramani, 1970

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.

Description

Word segmentation. One of the first problems infants must solve when learning language. Infants make use of many different cues - phonotactics, allophonic variation, metrical (stress) patterns, effects of coarticulation, and statistical regularities in syllable sequences. Statistics may provide initial bootstrapping - used very early (Thiessen & Saffran, 2003); language-independent.

See Also:

Download slides icon Download slides: mlcs07_goldwater_sharon.ppt (1.1 MB)

Launch Windows Media Player Launch in a standalone WM Player

WMedia Player Switch to Windows Media Player

Help icon Streaming Video Help

WebLink icon Windows Media Player Firefox Plugin - Download

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

Comment
Name
Email address
URL

make sure you have javascript enabled or clear this field: