Linguistics 384
Language and Computers
Autumn 2005

Course goals

In the past decade, the widening use of computers has had a profound influence on the way ordinary people communicate, search and store information. For the overwhelming majority of people and situations, the natural vehicle for such information is natural language. Text and to a lesser extent speech are crucial encoding formats for the information revolution.

In this course, you will be given insight into the fundamentals of how computers are used to represent, process and organize textual and spoken information, as well as tips on how to effectively integrate this knowledge into working practice. We will cover the theory and practice of human language technology. Topics include text encoding, search technology, tools for writing support, machine translation, dialog systems, computer aided language learning and the social context of language technology.

Instructor:

Xiaofei Lu

Office:

218 Oxley Hall

Phone:

292-3802

E-mail:

xflu AT ling DOT osu DOT edu (replace AT and DOT accordingly and remove spaces)

Office hours:

T 2:30pm-3:18pm
R 2:30pm-3:18pm

Meeting time:

TR 3:30pm-5:18pm

Classroom:

040 Page Hall

Course website:

http://ling.osu.edu/~xflu/384


Credits:

5

Course prerequisites:

none

Readings:

There is no textbook for this course, but there will be online readings assigned periodically (see course links page at http://ling.osu.edu/~xflu/384/384links.html).

I will distribute slides in class for each unit. These will also be available on the web after the class in which they are first distributed. These slides are meant to aid classroom discussion and cannot replace actually being in class.

Course requirements:

There will be various reading selections throughout the quarter, but most of the material will be introduced solely in the classroom. There will be roughly one online quiz per week, to ensure the material covered in class is mastered. And there will be 5 homework assignments (exercise sheets). These assignments give the opportunity to explore new aspects of the topics discussed in class.

Grading

Grades will be based on in-class activities (7%), participation (3%), quizzes (20%), homeworks (30%), a midterm exam (20%), and a final examination (20%).

IN-CLASS ACTIVITIES 7%  
PARTICIPATION 3%  
QUIZZES 20% (8@2.5% each)  
HOMEWORKS 30% (5@6% each)  
MIDTERM 20%  
FINAL 20%  

Grading scale

(Scores in percentages)

A 926-1000 B+ 866-895 C+ 766-795 D+ 666-695 E 0-595
A- 896-925 B 826-865 C 726-765 D 596-665    
    B- 796-825 C- 696-725        

Make-up Policy:

Academic Misconduct:

To state the obvious, academic dishonesty is not allowed. Cheating on tests or on other assignments will be reported to the University Committee on Academic Misconduct. The most common form of misconduct is plagiarism. Remember that any time you use the ideas or the materials of another person or persons, you must acknowledge that you have done so in a citation. This includes material that you have found on the Web. The University provides guidelines for research on the Web at http://gateway.lib.ohio-state.edu/tutor/.

Class etiquette:

I expect you to respect one another, to respect me, and to respect yourself. To that end, I expect you to obey the following rules:

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 the Office of Disability Services for assistance in verifying the need for accommodations and developing accommodation strategies. Students who have not previously contacted the Office for Disability Services are encouraged to do so (614-292-3307; http://www.ods.ohio-state.edu).

Tentative Schedule

Links to notes and homeworks will be posted after class at:
http://ling.osu.edu/~xflu/384/

Month Week Day Date Topic What's due
September 1 R 22 Syllabus; Intro to class  
  2 T 27 Text and speech encoding (Slides 1, ASCII table)  
    R 29 Text and speech encoding (ICA1) Demo Quiz
October 3 T 4 Searching (Slides 2, HW1, ICA2) Quiz1
    R 6 Searching  
  4 T 11 Spam filtering (Slides 3, ICA3) HW1/Quiz2
    R 13 Spam filtering (HW2)  
  5 T 18 Spelling correctors (Slides 4, ICA4) Quiz3
    R 20 Spelling correctors/Grammar correctors (Slides 5, ICA5) HW2
  6 T 25 Review Quiz4
    R 27 MIDTERM MIDTERM
November 7 T 1 Machine translation (Slides 6, laughs)  
    R 3 Machine translation (ICA6) HW3
  8 T 8 Machine translation (HW4, ICA7) Quiz5
    R 10 Dialogue systems (Slides 7, ICA8)  
  9 T 15 Dialogue systems (ICA9) HW4/Quiz6
    R 17 Dialogue systems (HW5, ICA10)  
  10 T 22 Computer-assisted language learning (CALL) (Slides 8, ICA11) Quiz7
    R 24 Happy Thanksgiving!  
  11 T 29 Social context of language technology use (Slides 9, ICA12, discussion) HW5
December   R 1 Final review Quiz8
  12 T 6 FINAL FINAL

Computational Linguistics professors

If you find yourself loving this material, I encourage you to come see me or to contact one of our computational linguistics faculty.

Disclaimer

This syllabus is subject to change. All important changes will be announced in class AND communicated by email, with ample time for adjustment.

About this document ...

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The translation was initiated by Xiaofei Lu on 2005-09-21


Xiaofei Lu 2005-09-21