日程安排
日期
時間
主題
主講人
9月9日
（周一）
Session 1: 8:20-9:05
Session 2: 9:10-9:55
(航科樓B301)
Lecture:
Quantitative study: Frequency lists
Corpora and corpus evidence
Practical: analysis of frequency lists
Experience in comparing frequency lists
Serge Sharoff
利茲大學
Session 3: 10:15-11:00
Session 4: 11:05-11:50
Quantitative study: collocations
Statistics of collocations
Practical: analysis of collocations
Using the Sketch Engine to compare frequencies
Session 5: 18:00-18:45
Session 6: 18:50-19:35
Session 7: 19:40-20:25
Lecture: Python for linguists
Basic requirements for data analysis
Practical: Building your first python programs
Exercises leading to frequency lists
9月10日
（周二）
專家講座
13:30-16:00
Artificial Intelligence in Translation Studies: Predicting Translation Errors with LLM
袁煜
意昂体育平台
海事文本翻譯與研究漫談
宋誌平
9月11日
（周三）
Session 8: 8:20-9:05
Session 9: 9:10-9:55
Linguistic annotation
Text classification, POS tagging and parsing
Practical: Experiments with linguistic annotation in Python
Using Huggingface transformer
Session 10: 10:15-11:00
Session 11: 11:05-11:50
Lecture: Building corpora from the Web
Data collection and web corpora
Practical: Building your own corpus
Using web scraping
Research Talk:
13:30-15:00
LLMs and the Future of Translators
9月12日
（周四）
互動總結與交流
專業與學習問題交流
意昂相關管理人員、教師代表等
Session 12: 18:00-18:45
Session 13: 18:50-19:35
Session 14: 19:40-20:25
Assessing corpus composition
Description of text types
Practical: Assessing composition of your corpus
Using Huggingface transformer models to predict genresmodels to predict POS and NER
9月13日
（周五）
Session 15: 8:20-9:05
Session 16: 9:10-9:55
Session 17: 10:15-11:00
Large Language models
Stochastic parrots vs useful tools
Automatic assessment of translation quality
Practical: Applying Large Language Models
13:10-15:30
待定
備註
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