Helps students to develop an ability to obtain, organize, and analyze language-related experimental data. Empirical methods are explored with some attention given to data-driven quantitative methods employed in natural language analysis. The course includes language data collection, statistical analysis, language corpora, the fundamentals of automated syntactic parsing, text classification, information extraction, tagging, and summarization. Students will also benefit from learning data processing computer software packages such as R and Excel. Weekly hours: 3 Lecture hoursPrerequisite(s): LING 111.3 or LING 114.3; and LING 112.3; and a minimum of 9 credit units of LING courses at
Helps students to develop an ability to obtain, organize, and analyze language-related experimental data. Empirical methods are explored with some attention given to data-driven quantitative methods employed in natural language analysis. The course includes language data collection, statistical analysis, language corpora, the fundamentals of automated syntactic parsing, text classification, information extraction, tagging, and summarization. Students will also benefit from learning data processing computer software packages such as R and Excel. Weekly hours: 3 Lecture hoursPrerequisite(s): LING 111.3 or LING 114.3; and LING 112.3; and a minimum of 9 credit units of LING courses at
