1. WORDS Lab CSC 9010: Special Topics. Natural Language Processing.
Paula Matuszek, Mary-Angela Papalaskari
Spring, 2005
Examples taken from the Bird, Klein and Loper: NLTK Tutorial, Tagging, nltk.sourceforge.net/tutorial/tagging/index.html
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

2. Words, Words, Words
So far we have covered methods that largely operate on tokens.
Tokenizing text
Stemming words and determining lemmas
POS-tagging
Language models based on n-gram frequencies
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

3. Every time I fire a linguist, my performance goes up1
None of this has much of what could be considered "linguistic" knowledge or "understanding".
No parsing
Not much domain knowledge o "meaning"
For the next two sections of the course we will talk extensively about syntax and semantics.
1. Hirschberg, Julia "Every time I fire a linguist, my performance goes up," and other myths of the statistical natural language processing revolution. Invited talk, Fifteenth National Conference on Artificial Intelligence (AAAI-98).
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

4. What's In a Word?
For this lab, we will focus on some of the things that can be done with application of the techniques we have already studied.
Format will be
Try a demo
Discuss what techniques were needed to implement it
Discuss some of what would be needed to improve it
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

5. Gender Genie www.bookblog.net/gender/genie.html Techniques:
How good is it? What might improve it?
Reference:
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

6. Pearson Knowledge Technologies Text Classification Demo
Techniques:
How good is it? What might improve it?
Reference:
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

7. Google Sets labs.google.com/sets Techniques:
How good is it? What might improve it?
Reference: if you find one let me know. Possibly something like this: ww.arxiv.org/pdf/cs.CL/
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari

8. AT&T Text to Speech Techniques: How good is it? What might improve it?
Techniques:
How good is it? What might improve it?
Reference:
CSC 9010: Special Topics, Natural Language Processing. Spring, Matuszek & Papalaskari