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NB. M-x outline-mode
NB. [N] = new stuff, [?] = needs discussion, maybe omit or merge
NB.  Section titles may have been changed, or inserted to make
structure clearer.
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* Some things you can do with NLP 

** Examples
NLP for linguistic research
NLP for applications

** What do we mean by NLP?
terminology: CL/HLT etc 

** Audience and Goals [N]


* The Language Challenge

** NL is rich and complex and difficult

*** Language is integral to culture

***  Language is intertwined in modern technology [?]
[not quite clear what the message is here]

** How NLP can make a difference

*** Information overload for ordinary people

Text and multimedia on WWW

QA example

*** Information overload for professionals [N]
biomedical example

*** But NLP is still limited in what it can do

* Overview of NLP

** One ideal: Intelligence and Turing Test
example of spoken dialogue

** More realistic: not so intelligent NLP

Other examples of NLP applications

** Brief history of NLP
[this seems  a bit tricky -- what needs to be included here? so far,
 it seems a bit arbitrary]

*** Formal language theory
--> computational syntax

*** Formal logic
--> automated inference

*** Formal semantics and compositionality [?]
[not really at the same level; maybe merge in with preceding chunk]

*** Domain dependence
e.g. semantic grammars 

*** Machine learning [N]


** Philosophical Perspective
[maybe push this up a level?]

*** Rationalism vs Empiricism
schools of linguistics

*** Realism vs Idealism [?]
God's truth vs. hocus pocus
[maybe drop this?\

* Architecture of Linguistic and NLP Systems

** Modularity
Generative grammars [link back to formal language theory]

** Competence and Performance

*** NLP aspects
simple parsing example

*** Cognitive aspects [N]
human sentence processing -- say that it's out of scope

*** Spoken Dialogue system

language resources / static
processing tools / dynamic

* Outline of book [N]










