Language and Computers
Course goals Present-day computer systems work with human language in many different forms, whether as stored data in the form of text, typed queries to a database or search engine, or speech commands in a voice-driven computer system. We also increasingly expect computers to produce human language, such as user-friendly error messages and synthesized speech. Through readings, exercises, demonstrations, and in-class discussion, this course will survey a range of issues relating natural language to computers, covering real-world applications.
Topics include text encoding, search technology, tools for writing support, machine translation, dialogue systems, and intelligent language tutoring systems.
There are no prerequisites for this course. This course satisfies a Natural and Mathematical Sciences (N&M) Breadth of Inquiry credit.
Course website: http://cl.indiana.edu/~md7/13/245/
Assignments, slides, etc. will be posted here.
|or by appointment|
Course requirements: There will be reading selections throughout the semester from a textbook. There will be approximately one exercise sheet, or homework, every two weeks. These assignments give you the opportunity to explore new aspects of the topics discussed in class, as well as to ensure that you are comprehending the material covered in class. Additionally, there will be in-class exercises which are included in your participation grade.
Readings: Required textbook:
For each unit, slides will be available from the webpage, generally before class. These slides are meant to aid classroom discussion and cannot replace actually being in class.
Grading: Grades will be based on classroom discussion/participation, homeworks, a midterm exam, and a final examination.
|Midterm||22%||Thursday, October 17 @ 9:30-10:45am|
|Final||22%||Tuesday, December 17 @ 10:15am-12:15pm|
Make-up Policy: If you plan on missing either the midterm or final, you will have to provide extensive documentation for your excuse. See me immediately if this is the case.
Academic Misconduct: Academic misconduct is not allowed in this course. The Indiana University Code of Student Rights, Responsibilities, and Conduct (http://dsa.indiana.edu/Code/) defines academic misconduct as “any activity that tends to undermine the academic integrity of the institution . . . Academic misconduct may involve human, hard-copy, or electronic resources . . . Academic misconduct includes, but is not limited to . . . cheating, fabrication, plagiarism, interference, violation of course rules, and facilitating academic misconduct” (II. G.1-6).
Students with Disabilities: Students who need an accommodation based on the impact of a disability should contact me to arrange an appointment as soon as possible to discuss the course format, to anticipate needs, and to explore potential accommodations.
I rely on Disability Services for Students for assistance in verifying the need for accommodations and developing accommodation strategies. Students who have not previously contacted Disability Services are encouraged to do so (812-855-7578; http://www.indiana.edu/~iubdss/).
Computational Linguistics: If you find yourself loving this material, I encourage you to come see me or Professor Sandra Kübler for more information about computational linguistics.
Schedule: Links to notes and homeworks will be posted on the course website.
|Aug.||27||Intro to class|
|29||Text & speech encoding (.pdf, 2x3.pdf)||ch. 1, p. 1–17|
|Sep.||3||Text & speech encoding||p. 17–28|
|5||Writers’ aids: spelling correctors (.pdf, 2x3.pdf)||ch. 2, p. 34–44|
|10||Writers’ aids: spelling correctors||p. 44–49||HW1 due|
|12||Writers’ aids: grammar correctors (handout)||p. 49–65|
|17||Language Tutoring Systems (.pdf, 2x3.pdf)||ch. 3, p. 69–76|
|19||Language Tutoring Systems (.pdf, 2x3.pdf)||p. 76–83||HW2 due|
|24||Language Tutoring Systems||p. 83–87|
|26||Searching (.pdf, 2x3.pdf)||ch. 4, p. 91–100|
|Oct.||1||Searching: internals (handout)||p. 100–107||HW3 due|
|3||Searching: regular expressions (RegEx, FSAs)||p. 107–120|
|8||Cryptography (.pdf) - with thanks to Jason Baldridge!|
|15||Midterm review (review sheet)|
|22||Classifying documents (.pdf, 2x3.pdf) (handout)||ch. 5, p. 127–133|
|24||Classifying documents||p. 133–140|
|29||Classifying documents||p. 140–151|
|31||Machine Translation (MT) (.pdf, 2x3.pdf)||ch. 7, p. 181–191||HW5 due|
|Nov.||5||Machine Translation (MT) (handout)|
|7||Symbolic MT||p. 191–194|
|12||Statistical MT (Handouts: 1, 2)||p. 194–203||HW6 due|
|14||Statistical MT||p. 204–209|
|19||Dialogue systems: dialogue (.pdf, 2x3.pdf)||ch. 6, p. 153–166|
|21||Dialogue systems: chatterbots||p. 166–174||HW7 due|
|26||No class, Thanksgiving Break|
|28||No class, Thanksgiving Break|
|Dec.||3||Dialogue systems: modern systems (slides) - with thanks to Jason Baldridge!||p. 174–177|
|5||Dialogue systems: modern systems|
|10||Impact of language technology use||ch. 8, p. 215–219||HW8 due|
|12||Final review (review sheet)|
|17||FINAL: Tuesday, December 17||10:15am-12:15pm|
Disclaimer This syllabus is subject to change. All important changes will be made in writing, with ample time for adjustment. (Midterm and final dates, however, will not change.)