音韻實驗方法及語料探索

This class will be a tool-oriented class. Three parts will be included: 1) I will show you how to collect linguistic data (e.g., acoustic, perceptual) by conducting a group project (more information as we go), 2) introduce fundamentals of statistical analysis, and 3) show you some hands-on tools in exploring linguistic data/conducting statistical analysis using Excel and R.

Phonology

- Homework assignments: You are encouraged to discuss homework problems with your classmates or with me, but you must write up the solution on your own. All work on assignments must be your own! Most of the assignments require generating numbers using the program R. Submit your homework in the form of R-codes before each class starts. The lab session is used to facilitate the discussion. Let’s set up a time! - Tutorials (on your choices of an R function, E-prime or Praat, due 6/1): You will record with voice over two tutorials (maybe one?) demonstrating the skills you learn in class. More instructions as we go along. - Readings (1-3 papers/chapters per week): You will be leading the discussion of 1-2 papers (depending on the enrollment) from these readings. The general strategy of leading a discussion is to expect everyone to have already read the papers/chapters. Your job is to highlight the main points and to ask questions to help others in understanding the topic more. - To ensure that everyone has read the papers/chapters before coming to the class, you are required to ask at least 2 questions about each paper/chapter. Please post the questions using google form on the Wednesday before each class. - Group project: I will assign a group project. The purpose of this is to show you how to collect linguistic data scientifically. I will also show you how to use experimental software (E-prime) and acoustic analysis tools (Praat). Ideally, we will submit the findings and present the results together in a conference (which we did last time I taught the class). This means that you cannot use the results/findings as your own (in any kind of *public* presentation) without having my or the other classmates’ consents. - Analyzing your data: You will present your statistical analysis of your data (old data would be fine as long as you haven’t analyzed it before statistically) during the final week of the class. A progress report (and regular meetings with me if necessary) will be required, and the final version will be due one week after you present your work in class. This report should be written like a normal linguistics paper but also include an appendix (after the references) giving explicit information on how you did the statistical analyses (e.g., data set, R-codes).

Homework assignment 35% Quizzes 15% (undergrad students 20%) Tutorials 10% (undergrad students 0%) Reading assignments 10% Final exam 10% (undergrad students 15%) Midterm progress report 5% Presentation 5% Final paper 10% Extra credits 5%

- Yet Another Statistics-for-Linguistics Book (YASFLB) by James Myers (http://www.ccunix.ccu.edu.tw/~lngmyers/YASFLB.htm) - Dr. Tsung-Ying Chen (NTHU) and I are working with Prof. Myers on a Chinese version of this book. You’ll get to read some chapters of it. - Other materials: See weekly tentative schedule

地點

人社三館HC314

時間

Wednesday 10am-12pm and other times by appointment.

聯絡方式

yuanlu@nycu.edu.tw #58104