LELA 30431 Language and the Computer

Course outline

Mon 10am Newman/G16Fri 10am AlanTuring/G205
1. Introduction (Sept 24, 28) Introduction, explanation of syllabus What makes language hard for computers? Applications: overview
2. Phonetics (Oct 1, 5) Speech recognitionSpeech synthesis
3. Writing (Oct 8, 12) Character sets, Unicode, input methodsWord processing, spell checkers, grammar checkers
4. Words (Oct 15, 19) Dictionaries, ThesauriWordNet
5. Morphology (Oct 22, 23) MorphologyTagging *
6. Syntax (Nov 5, 9) Parsing IParsing II
7. Syntax,Semantics (Nov 12, 16) Parsing IIIDialogue understanding
8. Pragmatics,Branches (Nov 19, 23) Speech acts, Cooperative responses Psycholinguistics: language and disability
9. Translation (Nov 26, 27**) Machine Translation I cancelled **
10. Translation (Dec 3, 7) Machine Translation II Machine Translation III
11. Applied linguistics and IR (Dec 10, 14) Computer-Assisted Language Learning (CALL)Information retrieval; Summarization
* This class rearranged due to absence: takes place Tuesday at 3pm in Hanson Room, Bridgeford Building
** Rearranged class cancelled due to room booking clash

Lecture notes and resources

syllabus Syllabus
Powerpoint Introduction
Powerpoint Applications
Powerpoint Automatic Speech Recognition
Powerpoint Speech Synthesis
Speech synthesis demos available on the web include AT&T Labs, Cepstral, Festvox...
Powerpoint Character sets, Unicode, input methods
Powerpoint Spelling and grammar checkers
Powerpoint Dicitionaries, computational lexicography
Powerpoint Lexical semantics and WordNet
Explore WordNet at http://wordnet.princeton.edu/
Powerpoint Morphology
Powerpoint POS tagging
Powerpoint Parsing I (basic issues)
Powerpoint Parsing II (parsing with features)
Powerpoint Parsing III (probabilistic parsing)
Powerpoint Dialogue I (reference and anaphora)
Powerpoint Dialogue II (speech acts, cooperative responses)
Powerpoint Machine Translation I (history, problems)
Powerpoint Machine Translation II (modes of use)
Powerpoint Machine Translation III (EBMT and statistical MT)
Corpus-based MTClick here to download article on Corpus-based MT.
Powerpoint CALL (Computer-Assisted Language learning

Exam hintsClick here for exam hints.