Each folder here represents an assignment I've done for a class and so would be compiled separately. They include the following:
- comp_ling01: Slides for summary of Eisenstein and Rehurek & Kolkus (2009)
- comp_ling02: Literature review of low-resource language identification
- communs01: Summary of chapter 5 of Mills (1959)
- communs02: Summary of Sankoff & Laberge (1978)
- communs03: Summary of Eckert & McConnell-Ginet (1992)
- communs04: Project proposal
- communs05: Summary of Johnstone et al. (2006)
- communs06: Summary of Podesva (2007)
- communs07: Summary of Wright (2015) Chapter 2
- creoles01: Discussion of Lefebvre (2001)
- creoles02: Summary of Heine & Kuteva (2003)
- creoles03: Project proposal -> Project
- creoles04: Summary of Myers-Scotton (2001) and Sánchez (2006)
- creoles05: Summary of Aboh & deGraff (2017)
- fr01: Presentation of an article on word order in interrogatives
- fr02: Paper on passé composé in Louisiana French
- race_ethnicity01: Ethnolinguistic autobiography
- race_ethnicity02: Presentation of Dubois & Horvath (2003)
- race_ethnicity03: Reflection on ethnolects in LA
- race_ethnicity04: Project proposal -> Project
- phon_phon_homework01: Consonants
- phon_phon_homework02: Narrow transcriptions
- phon_phon_homework03: Acoustic phonetics
- phon_phon_homework04: Analyzing spectra
- phon_phon_homework05: Vowels and stress
- phon_phon_homework06: More narrow transcriptions
- phon_phon_homework07: Phonological and morphological analyses
- phon_phon_homework08: Distinctive features
- phon_phon_homework09: More rules and autosegmental phonology
- phon_phon_project: Analysis of merger or lack thereof of [e] and [ɛ] as well as [ɔ̃] and [ɑ̃] in Louisiana French
- nlp_homework01: Intro to the NLTK Python module
- nlp_homework02: Regular expressions
- nlp_homework03: Number normalizer with pynini
- nlp_homework04: Tagger evaluation
- nlp_homework05: Top-down parsing
- nlp_homework06: Chart parsing
- nlp_homework07: Dependency grammar parsing
- nlp_homework08: Feature-based grammars
- nlp_homework09: Logical forms
- nlp_project: Tagging disfluencies
- socio_seminar_project: Analysis of 3p plural subject pronouns in Louisiana French interviews
- finite_state_project: Verb lexical transducer in lexc
- quant_meths_homework3: Working with word recognition.
- quant_meths_homework2: Using ggplot2 and dealing with BNC and Reddit data
- quant_meths_homework4: Working with multiple regression and ANOVAs
- quant_meths_homework5: Evaluating mixed-effects models
- quant_meths_homework6: Analysis of Labov's 4th floor data using binomial logistic regression
- quant_meths_project: Analyzing variation in the T-D distinction in the NCCFr
- socio_intro_the_niche: A R&A survey to see how people at UGA pronounce the name of the dining hall The Niche.