CS4705
Natural Language Processing
CS 4705
What is Natural Language Processing?
• The study of human languages and how they can
be represented computationally and analyzed,
recognized, and generated algorithmically
– The cat is on the mat. --> on (mat, cat)
– on (mat, cat) --> The cat is on the mat
• Studying NLP involves studying natural language,
formal representations, and algorithms for their
manipulation
What must we know about human language to
do NLP?
• Morphology: words and their composition
– cat, cats, dogs
– child, children
– undo, union
• Phonetics and Phonology: speech sounds, their
production, and the rule systems that govern their
use
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tap, butter
nice white rice; height/hot; kite/cot; night/not...
city hall, parking lot, city hall parking lot
The cat is on the mat. The cat is on the mat?
• Syntax: the structuring of words into larger
phrases
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John hit Bill
Bill was hit by John (passive)
Bill, John hit (preposing)
Who John hit was Bill (wh-cleft)
• Semantics: the (truth-functional) meaning of
words and phrases
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gun(x) & holster(y) & in(x,y)
fake (gun (x)) (compositional semantics)
The king of France is bald (presupposition violation)
bass fishing, bass playing (word sense disambiguation)
• Pragmatics and Discourse: the meaning of words
and phrases in context
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George got married and had a baby.
George had a baby and got married.
Some people left early.
Prosodic Variation
• German teachers
• Bill doesn’t drink because he’s unhappy.
• John only introduced Mary to Sue.
• John called Bill a Republican and then he insulted
him.
• John likes his mother, and so does Bill.
Bureaucracy
• Instructor: Julia Hirschberg
– (julia@cs.columbia.edu)
– Office and hours: CEPSR 705, TBA
• Teaching Assistant: Sameer Maskey
– (smaskey@cs.columbia.edu)
– Office and hours: CEPSR 720, TBA
• Syllabus available at
http://www1.cs.columbia.edu/~julia/cs4705/syllab
us.html
• Text: Daniel Jurafsky and James H. Martin,
Speech and Language Processing, Prentice-Hall,
2000 (available at Morningside Bookstore)
Note errata available on website; check before reading
each chapter please
• Assignments: 3 homework assignments, midterm,
final (1 extra homework for graduate students)
– Evaluation: 40% homework + 40% exams + 20% class
participation
Academic Integrity
Copying or paraphrasing someone's work (code
included), or permitting your own work to be copied
or paraphrased, even if only in part, is forbidden, and
will result in an automatic grade of 0 for the entire
assignment or exam in which the copying or
paraphrasing was done. Your grade should reflect
your own work. If you are going to have trouble
completing an assignment, talk to the instructor or
TA in advance of the due date please. Everyone:
Read/write protect your homework files at all times.
NLP Applications
• Speech Synthesis, Speech Recognition, IVR
Systems (TOOT: more or less succeeds)
• Information Retrieval (SCANMail demo)
• Information Extraction
– Question Answering (AQUA)
• Machine Translation (SYSTRAN)
• Summarization (NewsBlaster)
• Automated Psychotherapy (Eliza)
For Next Class
• Read Chapters 1-2
• For fun: Experiment with Eliza:
– Does she pass the Turing Test?
– What kind of input defeats her?
– How could you improve her ability to fool people into
thinking she is human? Using FSAs alone?