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This is a introductory course in computational linguistics at an advanced level. No pre-requisites for graduate students, we will learn the rudiments of programming and the theoretical underpinnings of grammar systems from scratch. Reference Textbook Optional: Speech and Language Processing 2nd edition, by D. Jurafsky and J.H. Martin, Prentice-Hall 2008. Or 3rd edition PDF. Software
All software used in this class will be freely available.
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Instructor: Sandiway Fong sandiway@arizona.edu
Office: Douglass 308 (send email for an appointment or
take a chance and drop by before class)
| Location | Social Sciences, Rm 411 |
| Time | Tuesdays/Thursdays 3:30PM - 4:45PM |
| Date | Lecture Notes | Number of Slides |
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| 8/25 | lecture1.pdf | lecture1.pptx | 39 | Part 1: Viewer / Part 2: Viewer | Administrivia and Introduction. Syllabus.
Homework 1: read PDF of chapter 1 of textbook for Homework 3 next time.here. Homework 2: Install Perl and Python. Some notes on programming languages. AI and coding. |
| 8/27 | lecture2.pdf | lecture2.pptx | 36 | Viewer | Language and computers: openai/whisper, assistive technologies and some
limits.
Recursive nature of language. Introduction to natural language analysis: syntactic structure. Parser demos, ChatGPT. Homework 3 |
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| 9/1 | lecture3.pdf | lecture3.pptx | 15 | Viewer | Homework 3 Review.
Guest presentation: Jeff Winkelman, Career Development & Employee Relations, Social & Behavioral Sciences SBS Resume Building |
| 9/3 | lecture4.pdf | lecture4.pptx | 38 | Viewer |
What is a Language Model: a look at text
completion. English subject
verb agreement. Oddities.
LLM: memorizing quotes. ChatGPT-2 to 5. Beginning programming with Perl: focusing on proper use of quotes. QWERTY keyboard history. ChatGPT help. world.perl / world.py Homework 4: using GPT-2, Stanza and Berkeley Neural Parser. |
| 9/8 | lecture5.pdf | lecture5.pptx | 28 | Viewer |
A note on submission dates
Homework 4 review and extensions: AI subword tokenization A bit more on quoting. Recommend installing WSL2 (Ubuntu) on Windows 11. perlintro review: scalars and arrays. |
| 9/11 | lecture6.pdf | lecture6.pptx | 41 | Viewer | perlintro contd.
@ARGV array and some array operations. Numeric and string equality. Coercion. Repetition. General looping: while, for, foreach. List range. Useful string functions, including chomp and split. tr. String length: bytes vs. characters (utf-8). File I/O: open and <filehandle>. Programs: myprog.perl / myprog.py Program: read.perl Example text file: falconheavylaunch.txt Homework 5: two exercises. Data files: 5letters.txt / 6letters.txt / 7letters.txt |
| 9/15 | lecture7.pdf | lecture7.pptx | 25 | Viewer | Homework 5 review. Scrabble word
length statistics.
Worked Perl file I/O example. Split and summing the words. Word frequency table using hash tables. Sorting in Perl, Python and on the command line. Files: falconheavylaunch.txt Terminal log: terminal7.txt |
| 9/17 | lecture8.pdf | lecture8.pptx | 30 | Viewer |
Perl hash table recap and dict in Python.
Anonymous arrays
in Perl. Part of Speech dict example.
Homework 6 on spelling rules + disemvoweling. Code: hw6template.perl File: ppch1.txt (note: utf-8 character set) |
| 9/22 | lecture9.pdf | lecture9.pptx | 39 | Viewer |
Homework 6 review.
Perl references. Perl Modules: CPAN. Date::Calc. cpanm command. Python libraries timedate and locale. Ungraded homework: install Lingua::EN::CMUDict, the CMU Pronouncing Dictionary. File: dow.perl |
| 9/24 | lecture10.pdf | lecture10.pptx | 35 | Viewer |
Ungraded Homework Review: Lingua::EN::CMUDict and Google AI!
Biased news reporting. Homework 7: On media bias and headlines Introduction to Perl regex. |
| 9/29 | lecture11.pdf | lecture11.pptx | 34 | Viewer |
Homework 7 Review: on media bias and headlines
"The lines of code that changed everything" Getting deeper into Perl regex: Word boundaries \b, capture, backreferences, shortest vs. greedy matching, nondeterminism (backtracking). |
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| 10/1 | lecture12.pdf | lecture12.pptx | 26 | Viewer | Homework 8: regex and the FinCEN Files.
More on Perl regex: Perl code inside a replacement string in s/pattern/replacement/! Character and word frequency counting Zipf's Law: Brown Corpus case study File: 12thnight.txt Homework file: download_transactions_map.csv (1.1MB) |
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