Linguistics 4104 Corpus Linguistics Course Home (Spring 2019)

Table of Contents:

• Instructor
• Google Course Groupe
• Office Hours
• Class Time
• Required Text
• Course Description
• Requirements
• Attendance and Evaluation
• Final Grades
• Course Schedule for Spring 2019
• Academic Dishonesty
• Appropriate Classroom Conduct

Instructor: Chongwon Park, Ph.D. (TA: Josie Kachelmeier)

Google group address: ling4104_001s19d@d.umn.edu

Office Hours: 10:00 - 10:55AM, MW (H420S)

Class Time: 11:00 - 11:50AM, MWF (H484)

Required Texts:

Computational Methods for Corpus Annotation and Analysis (Xiaofei Lu, Springer)
Statistics in Corpus Linguistics: A Practical Guide (Vaclay Brezina, Cambridge)
Spatio-temporal Annotation in Language: An ISO Approach, Chapter 1 (Kiyong Lee, Manuscript)

Course Description:

The aim of this course is to learn how to analyze linguistic phenomena based on data extracted from large databases. [1] Students will learn how to use computational tools that automate the annotation and analsyis of text copora;[2] Students will also acquire basic computer programming skills to clean up and manipulate the data structure for the purpose of linguistic exploration; After reviewing key linguistic concepts learned in the prerequisite linguistics course (LING 1811), [3] students will learn how to test existing hypotheses based on the data extracted from large corpora using statistical methods

Requirements:

You will have a total of 10 assignments and 3 exams. All assignments and exams consist of problem-solving questions.

Attendance and Evaluation:

It is important for you to be present for every class. Every homework assignment should be turned in on the due date (or before the due date) in class. Evaluation will be based on the following weight. IMPORTANT: I DO NOT accept late assignments (no exceptions). E-mail submissions WILL NOT be accepted.

While students are expected to attend every single class period, there are circumstances that lead to excused absence from the classroom. Excused absences are defined at http://www.duluth.umn.edu/vcaa/ExcusedAbsence.html. To be eligible for an excused absence, students must provide written documents such as doctor's notes and advisor's letters. To encourage your attendance, for each class you miss 1 point will be deducted, but if your attendance is perfect (any absences being excused) you will receive 3 bonus points.

Final Grades:

• 93 - 100: A
• 90 - 92: A-
• 87 - 89: B+
• 83 - 86: B
• 80 - 82: B-
• 77 - 79: C+
• 73 - 76: C
• 70 - 72: C-
• 67 - 69: D+
• 63 - 66: D
• 60 - 62: D-
• 59 or less: F

Course Schedule for Spring 2019:

Academic Dishonesty:

Academic dishonesty tarnishes UMD's reputation and discredits the accomplishments of students. UMD is committed to providing students every possible opportunity to grow in mind and spirit. This pledge can only be redeemed in an environment of trust, honesty, and fairness. As a result, academic dishonesty is regarded as a serious offense by all members of the academic community. In keeping with this ideal, this course will adhere to UMD's Student Academic Integrity Policy, which can be found at http://www.d.umn.edu/conduct/integrity. This policy sanctions students engaging in academic dishonesty with penalties up to and including expulsion from the university for repeat offenders.

Appropriate Classroom Conduct:

The instructor will enforce and students are expected to follow the University's Student Conduct Code (http://www.d.umn.edu/conduct/code). Appropriate classroom conduct promotes an environment of academic achievement and integrity. Disruptive classroom behavior that substantially or repeatedly interrupts either the instructor's ability to teach, or student learning, is prohibited. Disruptive behavior includes inappropriate use of technology in the classroom. Examples include ringing cell phones, text-messaging, watching videos, playing computer games, checking email, surfing the Internet, or Facebooking (or facebooking) on your computer instead of note-taking or other instructor-sanctioned activities.