June Choe, and Anna Papafragou. (2023). The acquisition of subordinate nouns as pragmatic inference. Journal of Memory and Language, 132, 104432. DOI: https://doi.org/10.1016/j.jml.2023.104432. PDFOSF
June Choe. Children’s sensitivity to informativeness in naming: basic-level vs. superordinate nouns. Talk at the 101st Linguistic Society of America (LSA) conference. 9-12 January 2025. Philadelphia.
+
Conference Talks
+
June Choe, and Anna Papafragou. Children’s sensitivity to informativeness in naming: basic-level vs. superordinate nouns. Talk at the 101st Linguistic Society of America (LSA) conference. 9-12 January 2025. Philadelphia.
June Choe. Distributional signatures of superordinate nouns. Talk at the 10th MACSIM conference. 6 April 2024. University of Maryland, College Park, MD.
June Choe. Sub-layer modularity in the Grammar of Graphics. Talk at the 2023 Joint Statistical Meetings, 5-10 August 2023. Toronto, Canada. American Statistical Association (ASA) student paper award in Statistical Computing and Graphics. Paper
June Choe. Persona-based social expectations in sentence processing and comprehension. Talk at the Language, Stereotypes & Social Cognition workshop, 22-23 May, 2023. University of Pennsylvania, PA.
June Choe, and Anna Papafragou. Lexical alternatives and the acquisition of subordinate nouns. Talk at the 47th Boston University Conference on Language Development (BUCLD), 3-6 November, 2022. Boston University, Boston, MA. Slides
June Choe, Yiran Chen, May Pik Yu Chan, Aini Li, Xin Gao and Nicole Holliday. (2022). Language-specific Effects on Automatic Speech Recognition Errors in American English. Talk at the 28th International Conference on Computational Linguistics (CoLing), 12-17 October, 2022. Gyeongju, South Korea. Slides
May Pik Yu Chan, June Choe, Aini Li, Yiran Chen, Xin Gao and Nicole Holliday. (2022). Training and typological bias in ASR performance for world Englishes. Talk at the 23rd Conference of the International Speech Communication Association (INTERSPEECH), 18-22 September, 2022. Incheon, South Korea.
-
Conference Presentations
+
Conference Presentations
June Choe, and Anna Papafragou. Distributional signatures of superordinate nouns. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. AbstractPoster
June Choe, and Anna Papafragou. Pragmatic underpinnings of the basic-level bias. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. AbstractPoster
June Choe and Anna Papafragou. Discourse effects on the acquisition of subordinate nouns. Poster presented at the 9th Mid-Atlantic Colloquium of Studies in Meaning (MACSIM), 15 April 2023. University of Pennsylvania, PA.
@@ -2714,15 +2723,6 @@
Conference Presentations
June Choe. Social Information in Sentence Processing. Talk at The 2019 Undergraduate Research & Arts Exposition. 29 May 2019. Northwestern University, Evanston, IL. Abstract
June Choe, Shayne Sloggett, Masaya Yoshida and Annette D’Onofrio. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 32nd CUNY Conference on Human Sentence Processing. 29-31 March 2019. University of Colorado, Boulder, CO.
D’Onofrio, Annette, June Choe and Masaya Yoshida. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 93rd Annual Meeting of the Linguistics Society of America. 3-6 January 2019. New York City, NY.
-
Workshops led
-
Introduction to mixed-effects models in Julia. Workshop at Penn MindCORE. 1 December 2023. Philadelphia, PA. GithubColab notebook
-
Experimental syntax using IBEX/PCIBEX with Dr. Nayoun Kim. Workshop at the 2022 Seoul International Conference on Linguistics. 11-12 August 2022. Seoul, South Korea. PDF
-
Experimental syntax using IBEX: a walkthrough with Dr. Nayoun Kim. 2021 BK Winter School-Workshop on Experimental Linguistics/Syntax at Sungkyunkwan University, 19-22 January 2021. Seoul, South Korea. PDF
-
Guest lectures
-
Hard words and (syntactic) bootstrapping. LING 5750 “The Acquisition of Meaning”. Instructor: Dr. Anna Papafragou. Spring 2024, University of Pennsylvania.
-
Introduction to R for psychology research. PSYC 4997 “Senior Honors Seminar in Psychology”. Instructor: Dr. Coren Apicella. Spring 2024, University of Pennsylvania. Colab notebook
-
Model fitting and diagnosis with MixedModels.jl in Julia. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Fall 2023, University of Pennsylvania.
-
Simulation-based power analysis for mixed-effects models. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Spring 2023, University of Pennsylvania.
Research activities in FOSS
Papers
Massimo Aria, Trang Le, Corrado Cuccurullo, Alessandra Belfiore, and June Choe. (2024). openalexR: An R-tool for collecting bibliometric data from OpenAlex. The R Journal, 15(4), 166-179. Paper, Github
Rich Iannone, June Choe, Mauricio Vargas Sepulveda. (2024). pointblank: Data Validation and Organization of Metadata for Local and Remote Tables. R package version 0.12.1. https://CRAN.R-project.org/package=pointblank. Github
-
Massimo Aria, Corrado Cuccurullo, Trang Le, June Choe. (2024). openalexR: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API. R package version 1.2.3. https://CRAN.R-project.org/package=openalexR. Github
Rich Iannone, June Choe, Mauricio Vargas Sepulveda. (2024). pointblank: Data Validation and Organization of Metadata for Local and Remote Tables. R package version 0.12.1. https://CRAN.R-project.org/package=pointblank. Github
+
Massimo Aria, Corrado Cuccurullo, Trang Le, June Choe. (2024). openalexR: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API. R package version 1.4.0. https://CRAN.R-project.org/package=openalexR. Github
Sean McWeeny, June Choe, & Elizabeth S. Norton. (2021). SnowGlobe: An Iterative Search Tool for Systematic Reviews and Meta-Analyses [Computer Software]. OSF
-
Service
+
Teaching
+
Positions held
+
Teaching assistant for “Introduction to Linguistics”. Instructor: Aletheia Cui. Spring 2024. University of Pennsylvania.
+
Teaching assistant for “Data science for language and the mind”. Instructor: Katie Schuler. Fall 2021, Spring, 2023, and Fall 2023. University of Pennsylvania.
+
Workshops led
+
Introduction to mixed-effects models in Julia. Workshop at Penn MindCORE. 1 December 2023. Philadelphia, PA. GithubColab notebook
+
Experimental syntax using IBEX/PCIBEX with Dr. Nayoun Kim. Workshop at the 2022 Seoul International Conference on Linguistics. 11-12 August 2022. Seoul, South Korea. PDF
+
Experimental syntax using IBEX: a walkthrough with Dr. Nayoun Kim. 2021 BK Winter School-Workshop on Experimental Linguistics/Syntax at Sungkyunkwan University, 19-22 January 2021. Seoul, South Korea. PDF
+
Guest lectures
+
Hard words and (syntactic) bootstrapping. LING 5750 “The Acquisition of Meaning”. Instructor: Dr. Anna Papafragou. Spring 2024. University of Pennsylvania.
+
Introduction to R for psychology research. PSYC 4997 “Senior Honors Seminar in Psychology”. Instructor: Dr. Coren Apicella. Spring 2024. University of Pennsylvania. Colab notebook
+
Model fitting and diagnosis with MixedModels.jl in Julia. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Fall 2023. University of Pennsylvania.
+
Simulation-based power analysis for mixed-effects models. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Spring 2023. University of Pennsylvania.
Proceedings of the Annual Meeting of the Cognitive Science Society
+
Membership
+
+
Linguistics Society of America
+
American Statistical Association
+
diff --git a/docs/resources.html b/docs/resources.html
index af0c530..a9cc129 100644
--- a/docs/resources.html
+++ b/docs/resources.html
@@ -32,7 +32,7 @@
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-pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
+pre > code.sourceCode > span { display: inline-block; text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
diff --git a/docs/search.json b/docs/search.json
index d4ef757..74840f6 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -5,7 +5,7 @@
"title": "Blog Posts",
"author": [],
"contents": "\r\n\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-03T18:14:54-04:00"
+ "last_modified": "2024-09-20T10:56:03-04:00"
},
{
"path": "index.html",
@@ -13,21 +13,21 @@
"description": "Ph.D. Candidate in Linguistics",
"author": [],
"contents": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n Education\r\n\r\n\r\nB.A. (hons.) Northwestern University (2016–20)\r\n\r\n\r\nPh.D. University of Pennsylvania (2020 ~)\r\n\r\n\r\n Interests\r\n\r\n\r\n(Computational) Psycholinguistics\r\n\r\n\r\nLanguage Acquisition\r\n\r\n\r\nSentence Processing\r\n\r\n\r\nProsody\r\n\r\n\r\nQuantitative Methods\r\n\r\n\r\n\r\n\r\n\r\n Methods:\r\n\r\nWeb-based experiments, eye-tracking, self-paced reading, corpus analysis\r\n\r\n\r\n\r\n Programming:\r\n\r\nR (fluent) | HTML/CSS, Javascript, Julia (proficient) | Python (coursework)\r\n\r\n\r\n\r\n\r\n\r\nI am a PhD candidate in Linguistics at the University of Pennsylvania, and a student affiliate of Penn MindCORE and the Language and Communication Sciences program. I am a psycholinguist broadly interested in experimental approaches to studying meaning, of various flavors. My advisor is Anna Papafragou and I am a member of the Language & Cognition Lab.\r\nI received my B.A. in Linguistics from Northwestern University, where I worked with Jennifer Cole, Masaya Yoshida, and Annette D’Onofrio. I also worked as a research assistant for the Language, Education, and Reading Neuroscience Lab. My thesis explored the role of prosodic focus in garden-path reanalysis.\r\nBeyond linguistics research, I have interests in data visualization, science communication, and the R programming language. I author packages in statistical computing and graphics (ex: ggtrace, jlmerclusterperm) and collaborate on other open-source software (ex: openalexR, pointblank). I also maintain a technical blog as a hobby and occasionally take on small statistical consulting projects.\r\n\r\n\r\n\r\n\r\ncontact me: yjchoe@sas.upenn.edu\r\n\r\n\r\n\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-03T18:14:57-04:00"
+ "last_modified": "2024-09-20T11:01:42-04:00"
},
{
"path": "news.html",
"title": "News",
"author": [],
"contents": "\r\n\r\n\r\nFor more of my personal news external/tangential to research\r\n2023\r\nAugust\r\nI was unfortunately not able to make it in person to JSM 2023 but have my pre-recorded talk has been uploaded!\r\nJune\r\nMy package jlmerclusterperm was published on CRAN!\r\nApril\r\nI was accepted to SMLP (Summer School on Statistical Methods for Linguistics and Psychology), to be held in September at the University of Potsdam, Germany! I will be joining the “Advanced methods in frequentist statistics with Julia” stream. Huge thanks to MindCORE for funding my travels to attend!\r\nJanuary\r\nI received the ASA Statistical Computing and Graphics student award for my paper Sublayer modularity in the Grammar of Graphics! I will be presenting my work at the 2023 Joint Statistical Meetings in Toronto in August.\r\n2022\r\nSeptember\r\nI was invited to a Korean data science podcast dataholic (데이터홀릭) to talk about my experience presenting at the RStudio and useR conferences! Part 1, Part 2\r\nAugust\r\nI led a workshop on IBEX and PCIbex with Nayoun Kim at the Seoul International Conference on Linguistics (SICOL 2022).\r\nJuly\r\nI attended my first in-person R conference at rstudio::conf(2022) and gave a talk on ggplot internals.\r\nJune\r\nI gave a talk on my package {ggtrace} at the useR! 2022 conference. I was awarded the diversity scholarship which covered my registration and workshop fees. My reflections\r\nI gave a talk at RLadies philly on using dplyr’s slice() function for row-relational operations.\r\n2021\r\nJuly\r\nMy tutorial on custom fonts in R was featured as a highlight on the R Weekly podcast!\r\nJune\r\nI gave a talk at RLadies philly on using icon fonts for data viz! I also wrote a follow-up blog post that goes deeper into font rendering in R.\r\nMay\r\nSnowGlobe, a project started in my undergrad, was featured in an article by the Northwestern University Library. We also had a workshop for SnowGlobe which drew participants from over a hundred universities!\r\nJanuary\r\nI joined Nayoun Kim for a workshop on experimental syntax conducted in Korean and held at Sungkyunkwan University (Korea). I helped design materials for a session on scripting online experiments with IBEX, including interactive slides made with R!\r\n2020\r\nNovember\r\nI joined designer Will Chase on his stream to talk about the psycholinguistics of speech production for a data viz project on Michael’s speech errors in The Office. It was a very cool and unique opportunity to bring my two interests together!\r\nOctober\r\nMy tutorial on {ggplot2} stat_*() functions was featured as a highlight on the R Weekly podcast, which curates weekly updates from the R community.\r\nI became a data science tutor at MindCORE to help researchers at Penn with data visualization and R programming.\r\nSeptember\r\nI have moved to Philadelphia to start my PhD in Linguistics at the University of Pennsylvania!\r\nJune\r\nI graduated from Northwestern University with a B.A. in Linguistics (with honors)! I was also elected into Phi Beta Kappa and appointed as the Senior Marshal for Linguistics.\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-03T18:14:58-04:00"
+ "last_modified": "2024-09-20T10:56:06-04:00"
},
{
"path": "research.html",
- "title": "Research",
+ "title": "Research and activities",
"author": [],
- "contents": "\r\n\r\nContents\r\nPeer-reviewed Papers\r\nConference Talks\r\nConference Presentations\r\nWorkshops led\r\nGuest lectures\r\nResearch activities in FOSS\r\nPapers\r\nTalks\r\nSoftware\r\n\r\nService\r\nEditor\r\nReviewer\r\n\r\n\r\nLinks: Google Scholar, Github, OSF\r\nPeer-reviewed Papers\r\nJune Choe, and Anna Papafragou. (2023). The acquisition of subordinate nouns as pragmatic inference. Journal of Memory and Language, 132, 104432. DOI: https://doi.org/10.1016/j.jml.2023.104432. PDF OSF\r\nJune Choe, Yiran Chen, May Pik Yu Chan, Aini Li, Xin Gao, and Nicole Holliday. (2022). Language-specific Effects on Automatic Speech Recognition Errors for World Englishes. In Proceedings of the 29th International Conference on Computational Linguistics, 7177–7186.\r\nMay Pik Yu Chan, June Choe, Aini Li, Yiran Chen, Xin Gao, and Nicole Holliday. (2022). Training and typological bias in ASR performance for world Englishes. In Proceedings of Interspeech 2022, 1273-1277. DOI: 10.21437/Interspeech.2022-10869\r\nJune Choe, Masaya Yoshida, and Jennifer Cole. (2022). The role of prosodic focus in the reanalysis of garden path sentences: Depth of semantic processing impedes the revision of an erroneous local analysis. Glossa Psycholinguistics, 1(1). DOI: 10.5070/G601136\r\nJune Choe, and Anna Papafragou. (2022). The acquisition of subordinate nouns as pragmatic inference: Semantic alternatives modulate subordinate meanings. In Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 2745-2752.\r\nSean McWeeny, Jinnie S. Choi, June Choe, Alexander LaTourette, Megan Y. Roberts, and Elizabeth S. Norton. (2022). Rapid automatized naming (RAN) as a kindergarten predictor of future reading in English: A systematic review and meta-analysis. Reading Research Quarterly, 57(4), 1187–1211. DOI: 10.1002/rrq.467\r\nConference Talks\r\nJune Choe. Children’s sensitivity to informativeness in naming: basic-level vs. superordinate nouns. Talk at the 101st Linguistic Society of America (LSA) conference. 9-12 January 2025. Philadelphia.\r\nJune Choe. Distributional signatures of superordinate nouns. Talk at the 10th MACSIM conference. 6 April 2024. University of Maryland, College Park, MD.\r\nJune Choe. Sub-layer modularity in the Grammar of Graphics. Talk at the 2023 Joint Statistical Meetings, 5-10 August 2023. Toronto, Canada. American Statistical Association (ASA) student paper award in Statistical Computing and Graphics. Paper\r\nJune Choe. Persona-based social expectations in sentence processing and comprehension. Talk at the Language, Stereotypes & Social Cognition workshop, 22-23 May, 2023. University of Pennsylvania, PA.\r\nJune Choe, and Anna Papafragou. Lexical alternatives and the acquisition of subordinate nouns. Talk at the 47th Boston University Conference on Language Development (BUCLD), 3-6 November, 2022. Boston University, Boston, MA. Slides\r\nJune Choe, Yiran Chen, May Pik Yu Chan, Aini Li, Xin Gao and Nicole Holliday. (2022). Language-specific Effects on Automatic Speech Recognition Errors in American English. Talk at the 28th International Conference on Computational Linguistics (CoLing), 12-17 October, 2022. Gyeongju, South Korea. Slides\r\nMay Pik Yu Chan, June Choe, Aini Li, Yiran Chen, Xin Gao and Nicole Holliday. (2022). Training and typological bias in ASR performance for world Englishes. Talk at the 23rd Conference of the International Speech Communication Association (INTERSPEECH), 18-22 September, 2022. Incheon, South Korea.\r\nConference Presentations\r\nJune Choe, and Anna Papafragou. Distributional signatures of superordinate nouns. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. Abstract Poster\r\nJune Choe, and Anna Papafragou. Pragmatic underpinnings of the basic-level bias. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. Abstract Poster\r\nJune Choe and Anna Papafragou. Discourse effects on the acquisition of subordinate nouns. Poster presented at the 9th Mid-Atlantic Colloquium of Studies in Meaning (MACSIM), 15 April 2023. University of Pennsylvania, PA.\r\nJune Choe and Anna Papafragou. Discourse effects on the acquisition of subordinate nouns. Poster presented at the 36th Annual Conference on Human Sentence Processing, 9-11 March 2022. University of Pittsburg, PA. Abstract Poster\r\nJune Choe, and Anna Papafragou. Acquisition of subordinate nouns as pragmatic inference: Semantic alternatives modulate subordinate meanings. Poster at the 2nd Experiments in Linguistic Meaning (ELM) conference, 18-20 May 2022. University of Pennsylvania, Philadelphia, PA.\r\nJune Choe, and Anna Papafragou. Beyond the basic level: Levels of informativeness and the acquisition of subordinate nouns. Poster at the 35th Annual Conference on Human Sentence Processing (HSP), 24-26 March 2022. University of California, Santa Cruz, CA.\r\nJune Choe, Jennifer Cole, and Masaya Yoshida. Prosodic Focus Strengthens Semantic Persistence. Poster at The 26th Architectures and Mechanisms for Language Processing (AMLaP), 3-5 September 2020. Potsdam, Germany. Abstract Video Slides\r\nJune Choe. Computer-assisted snowball search for meta-analysis research. Poster at The 2020 Undergraduate Research & Arts Exposition. 27-28 May 2020. Northwestern University, Evanston, IL. 2nd Place Poster Award. Abstract\r\nJune Choe. Social Information in Sentence Processing. Talk at The 2019 Undergraduate Research & Arts Exposition. 29 May 2019. Northwestern University, Evanston, IL. Abstract\r\nJune Choe, Shayne Sloggett, Masaya Yoshida and Annette D’Onofrio. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 32nd CUNY Conference on Human Sentence Processing. 29-31 March 2019. University of Colorado, Boulder, CO.\r\nD’Onofrio, Annette, June Choe and Masaya Yoshida. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 93rd Annual Meeting of the Linguistics Society of America. 3-6 January 2019. New York City, NY.\r\nWorkshops led\r\nIntroduction to mixed-effects models in Julia. Workshop at Penn MindCORE. 1 December 2023. Philadelphia, PA. Github Colab notebook\r\nExperimental syntax using IBEX/PCIBEX with Dr. Nayoun Kim. Workshop at the 2022 Seoul International Conference on Linguistics. 11-12 August 2022. Seoul, South Korea. PDF\r\nExperimental syntax using IBEX: a walkthrough with Dr. Nayoun Kim. 2021 BK Winter School-Workshop on Experimental Linguistics/Syntax at Sungkyunkwan University, 19-22 January 2021. Seoul, South Korea. PDF\r\nGuest lectures\r\nHard words and (syntactic) bootstrapping. LING 5750 “The Acquisition of Meaning”. Instructor: Dr. Anna Papafragou. Spring 2024, University of Pennsylvania.\r\nIntroduction to R for psychology research. PSYC 4997 “Senior Honors Seminar in Psychology”. Instructor: Dr. Coren Apicella. Spring 2024, University of Pennsylvania. Colab notebook\r\nModel fitting and diagnosis with MixedModels.jl in Julia. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Fall 2023, University of Pennsylvania.\r\nSimulation-based power analysis for mixed-effects models. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Spring 2023, University of Pennsylvania.\r\nResearch activities in FOSS\r\nPapers\r\nMassimo Aria, Trang Le, Corrado Cuccurullo, Alessandra Belfiore, and June Choe. (2024). openalexR: An R-tool for collecting bibliometric data from OpenAlex. The R Journal, 15(4), 166-179. Paper, Github\r\nJune Choe. (2022). Sub-layer modularity in the Grammar of Graphics. American Statistical Association (ASA) student paper award in Statistical Computing and Graphics. Paper, Github\r\nTalks\r\nJune Choe. Sub-layer modularity in the Grammar of Graphics. Talk at the 2023 Joint Statistical Meetings, 5-10 August 2023. Toronto, Canada.\r\nJune Choe. Fast cluster-based permutation test using mixed-effects models. Talk at the Integrated Language Science and Technology (ILST) seminar, 21 April 2023. University of Pennsylvania, PA.\r\nJune Choe. Cracking open ggplot internals with {ggtrace}. Talk at the 2022 RStudio Conference, 25-28 July 2022. Washington D.C. https://github.com/yjunechoe/ggtrace-rstudioconf2022\r\nJune Choe. Stepping into {ggplot2} internals with {ggtrace}. Talk at the 2022 useR! Conference, 20-23 June 2022. Vanderbilt University, TN. https://github.com/yjunechoe/ggtrace-user2022\r\nSoftware\r\nRich Iannone, June Choe, Mauricio Vargas Sepulveda. (2024). pointblank: Data Validation and Organization of Metadata for Local and Remote Tables. R package version 0.12.1. https://CRAN.R-project.org/package=pointblank. Github\r\nMassimo Aria, Corrado Cuccurullo, Trang Le, June Choe. (2024). openalexR: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API. R package version 1.2.3. https://CRAN.R-project.org/package=openalexR. Github\r\nJune Choe. (2024). jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data. R package version 1.1.3. https://cran.r-project.org/package=jlmerclusterperm. Github\r\nSean McWeeny, June Choe, & Elizabeth S. Norton. (2021). SnowGlobe: An Iterative Search Tool for Systematic Reviews and Meta-Analyses [Computer Software]. OSF\r\nService\r\nEditor\r\nPenn Working Papers in Linguistics (PWPL), Volumne 30, Issue 1.\r\nReviewer\r\nLanguage Learning and Development\r\nJournal of Open Source Software\r\nProceedings of the Annual Meeting of the Cognitive Science Society\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-06T16:49:55-04:00"
+ "contents": "\r\n\r\nContents\r\nAcademic research output\r\nPeer-reviewed Papers\r\nConference Talks\r\nConference Presentations\r\n\r\nResearch activities in FOSS\r\nPapers\r\nTalks\r\nSoftware\r\n\r\nTeaching\r\nPositions held\r\nWorkshops led\r\nGuest lectures\r\n\r\nProfessional activities\r\nEditor\r\nReviewer\r\nMembership\r\n\r\n\r\nLinks: Google Scholar, Github, OSF\r\nAcademic research output\r\nPeer-reviewed Papers\r\nJune Choe, and Anna Papafragou. (2023). The acquisition of subordinate nouns as pragmatic inference. Journal of Memory and Language, 132, 104432. DOI: https://doi.org/10.1016/j.jml.2023.104432. PDF OSF\r\nJune Choe, Yiran Chen, May Pik Yu Chan, Aini Li, Xin Gao, and Nicole Holliday. (2022). Language-specific Effects on Automatic Speech Recognition Errors for World Englishes. In Proceedings of the 29th International Conference on Computational Linguistics, 7177–7186.\r\nMay Pik Yu Chan, June Choe, Aini Li, Yiran Chen, Xin Gao, and Nicole Holliday. (2022). Training and typological bias in ASR performance for world Englishes. In Proceedings of Interspeech 2022, 1273-1277. DOI: 10.21437/Interspeech.2022-10869\r\nJune Choe, Masaya Yoshida, and Jennifer Cole. (2022). The role of prosodic focus in the reanalysis of garden path sentences: Depth of semantic processing impedes the revision of an erroneous local analysis. Glossa Psycholinguistics, 1(1). DOI: 10.5070/G601136\r\nJune Choe, and Anna Papafragou. (2022). The acquisition of subordinate nouns as pragmatic inference: Semantic alternatives modulate subordinate meanings. In Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 2745-2752.\r\nSean McWeeny, Jinnie S. Choi, June Choe, Alexander LaTourette, Megan Y. Roberts, and Elizabeth S. Norton. (2022). Rapid automatized naming (RAN) as a kindergarten predictor of future reading in English: A systematic review and meta-analysis. Reading Research Quarterly, 57(4), 1187–1211. DOI: 10.1002/rrq.467\r\nConference Talks\r\nJune Choe, and Anna Papafragou. Children’s sensitivity to informativeness in naming: basic-level vs. superordinate nouns. Talk at the 101st Linguistic Society of America (LSA) conference. 9-12 January 2025. Philadelphia.\r\nJune Choe. Distributional signatures of superordinate nouns. Talk at the 10th MACSIM conference. 6 April 2024. University of Maryland, College Park, MD.\r\nJune Choe. Sub-layer modularity in the Grammar of Graphics. Talk at the 2023 Joint Statistical Meetings, 5-10 August 2023. Toronto, Canada. American Statistical Association (ASA) student paper award in Statistical Computing and Graphics. Paper\r\nJune Choe. Persona-based social expectations in sentence processing and comprehension. Talk at the Language, Stereotypes & Social Cognition workshop, 22-23 May, 2023. University of Pennsylvania, PA.\r\nJune Choe, and Anna Papafragou. Lexical alternatives and the acquisition of subordinate nouns. Talk at the 47th Boston University Conference on Language Development (BUCLD), 3-6 November, 2022. Boston University, Boston, MA. Slides\r\nJune Choe, Yiran Chen, May Pik Yu Chan, Aini Li, Xin Gao and Nicole Holliday. (2022). Language-specific Effects on Automatic Speech Recognition Errors in American English. Talk at the 28th International Conference on Computational Linguistics (CoLing), 12-17 October, 2022. Gyeongju, South Korea. Slides\r\nMay Pik Yu Chan, June Choe, Aini Li, Yiran Chen, Xin Gao and Nicole Holliday. (2022). Training and typological bias in ASR performance for world Englishes. Talk at the 23rd Conference of the International Speech Communication Association (INTERSPEECH), 18-22 September, 2022. Incheon, South Korea.\r\nConference Presentations\r\nJune Choe, and Anna Papafragou. Distributional signatures of superordinate nouns. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. Abstract Poster\r\nJune Choe, and Anna Papafragou. Pragmatic underpinnings of the basic-level bias. Poster presented at the 48th Boston University Conference on Language Development (BUCLD), 2-5 November, 2023. Boston University, Boston, MA. Abstract Poster\r\nJune Choe and Anna Papafragou. Discourse effects on the acquisition of subordinate nouns. Poster presented at the 9th Mid-Atlantic Colloquium of Studies in Meaning (MACSIM), 15 April 2023. University of Pennsylvania, PA.\r\nJune Choe and Anna Papafragou. Discourse effects on the acquisition of subordinate nouns. Poster presented at the 36th Annual Conference on Human Sentence Processing, 9-11 March 2022. University of Pittsburg, PA. Abstract Poster\r\nJune Choe, and Anna Papafragou. Acquisition of subordinate nouns as pragmatic inference: Semantic alternatives modulate subordinate meanings. Poster at the 2nd Experiments in Linguistic Meaning (ELM) conference, 18-20 May 2022. University of Pennsylvania, Philadelphia, PA.\r\nJune Choe, and Anna Papafragou. Beyond the basic level: Levels of informativeness and the acquisition of subordinate nouns. Poster at the 35th Annual Conference on Human Sentence Processing (HSP), 24-26 March 2022. University of California, Santa Cruz, CA.\r\nJune Choe, Jennifer Cole, and Masaya Yoshida. Prosodic Focus Strengthens Semantic Persistence. Poster at The 26th Architectures and Mechanisms for Language Processing (AMLaP), 3-5 September 2020. Potsdam, Germany. Abstract Video Slides\r\nJune Choe. Computer-assisted snowball search for meta-analysis research. Poster at The 2020 Undergraduate Research & Arts Exposition. 27-28 May 2020. Northwestern University, Evanston, IL. 2nd Place Poster Award. Abstract\r\nJune Choe. Social Information in Sentence Processing. Talk at The 2019 Undergraduate Research & Arts Exposition. 29 May 2019. Northwestern University, Evanston, IL. Abstract\r\nJune Choe, Shayne Sloggett, Masaya Yoshida and Annette D’Onofrio. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 32nd CUNY Conference on Human Sentence Processing. 29-31 March 2019. University of Colorado, Boulder, CO.\r\nD’Onofrio, Annette, June Choe and Masaya Yoshida. Personae in syntactic processing: Socially-specific agents bias expectations of verb transitivity. Poster at The 93rd Annual Meeting of the Linguistics Society of America. 3-6 January 2019. New York City, NY.\r\nResearch activities in FOSS\r\nPapers\r\nMassimo Aria, Trang Le, Corrado Cuccurullo, Alessandra Belfiore, and June Choe. (2024). openalexR: An R-tool for collecting bibliometric data from OpenAlex. The R Journal, 15(4), 166-179. Paper, Github\r\nJune Choe. (2022). Sub-layer modularity in the Grammar of Graphics. American Statistical Association (ASA) student paper award in Statistical Computing and Graphics. Paper, Github\r\nTalks\r\nJune Choe. Sub-layer modularity in the Grammar of Graphics. Talk at the 2023 Joint Statistical Meetings, 5-10 August 2023. Toronto, Canada.\r\nJune Choe. Fast cluster-based permutation test using mixed-effects models. Talk at the Integrated Language Science and Technology (ILST) seminar, 21 April 2023. University of Pennsylvania, PA.\r\nJune Choe. Cracking open ggplot internals with {ggtrace}. Talk at the 2022 RStudio Conference, 25-28 July 2022. Washington D.C. https://github.com/yjunechoe/ggtrace-rstudioconf2022\r\nJune Choe. Stepping into {ggplot2} internals with {ggtrace}. Talk at the 2022 useR! Conference, 20-23 June 2022. Vanderbilt University, TN. https://github.com/yjunechoe/ggtrace-user2022\r\nSoftware\r\nJune Choe. (2024). jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data. R package version 1.1.3. https://cran.r-project.org/package=jlmerclusterperm. Github\r\nRich Iannone, June Choe, Mauricio Vargas Sepulveda. (2024). pointblank: Data Validation and Organization of Metadata for Local and Remote Tables. R package version 0.12.1. https://CRAN.R-project.org/package=pointblank. Github\r\nMassimo Aria, Corrado Cuccurullo, Trang Le, June Choe. (2024). openalexR: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API. R package version 1.4.0. https://CRAN.R-project.org/package=openalexR. Github\r\nJune Choe. (2024). jlme: Regression Modelling with ‘GLM.jl’ and ‘MixedModels.jl’ in ‘Julia’. R package version 0.3.0. https://cran.r-project.org/package=jlme. Github\r\nSean McWeeny, June Choe, & Elizabeth S. Norton. (2021). SnowGlobe: An Iterative Search Tool for Systematic Reviews and Meta-Analyses [Computer Software]. OSF\r\nTeaching\r\nPositions held\r\nTeaching assistant for “Introduction to Linguistics”. Instructor: Aletheia Cui. Spring 2024. University of Pennsylvania.\r\nTeaching assistant for “Data science for language and the mind”. Instructor: Katie Schuler. Fall 2021, Spring, 2023, and Fall 2023. University of Pennsylvania.\r\nWorkshops led\r\nIntroduction to mixed-effects models in Julia. Workshop at Penn MindCORE. 1 December 2023. Philadelphia, PA. Github Colab notebook\r\nExperimental syntax using IBEX/PCIBEX with Dr. Nayoun Kim. Workshop at the 2022 Seoul International Conference on Linguistics. 11-12 August 2022. Seoul, South Korea. PDF\r\nExperimental syntax using IBEX: a walkthrough with Dr. Nayoun Kim. 2021 BK Winter School-Workshop on Experimental Linguistics/Syntax at Sungkyunkwan University, 19-22 January 2021. Seoul, South Korea. PDF\r\nGuest lectures\r\nHard words and (syntactic) bootstrapping. LING 5750 “The Acquisition of Meaning”. Instructor: Dr. Anna Papafragou. Spring 2024. University of Pennsylvania.\r\nIntroduction to R for psychology research. PSYC 4997 “Senior Honors Seminar in Psychology”. Instructor: Dr. Coren Apicella. Spring 2024. University of Pennsylvania. Colab notebook\r\nModel fitting and diagnosis with MixedModels.jl in Julia. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Fall 2023. University of Pennsylvania.\r\nSimulation-based power analysis for mixed-effects models. LING 5670 “Quantitative Study of Linguistic Variation”. Instructor: Dr. Meredith Tamminga. Spring 2023. University of Pennsylvania.\r\nProfessional activities\r\nEditor\r\nPenn Working Papers in Linguistics (PWPL), Volumne 30, Issue 1.\r\nReviewer\r\nCognition\r\nLanguage Learning and Development\r\nJournal of Open Source Software\r\nProceedings of the Annual Meeting of the Cognitive Science Society\r\nMembership\r\nLinguistics Society of America\r\nAmerican Statistical Association\r\n\r\n\r\n\r\n",
+ "last_modified": "2024-09-20T10:56:08-04:00"
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@@ -35,14 +35,14 @@
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"contents": "\r\n\r\nContents\r\nLinguistics\r\nData Visualization\r\nPackages and software\r\nTutorial Blog Posts\r\nBy others\r\n\r\nLinguistics\r\nScripting online experiments with IBEX (workshop slides & materials with Nayoun Kim)\r\nData Visualization\r\n{ggplot2} style guide and showcase - most recent version (2/10/2021)\r\nCracking open the internals of ggplot: A {ggtrace} showcase - slides\r\nPackages and software\r\n{ggtrace}: R package for exploring, debugging, and manipulating ggplot internals by exposing the underlying object-oriented system in functional programming terms.\r\n{penngradlings}: R package for the University of Pennsylvania Graduate Linguistics Society.\r\n{LingWER}: R package for linguistic analysis of Word Error Rate for evaluating transcriptions and other speech-to-text output, using a deterministic matrix-based search algorithm optimized for R.\r\n{gridAnnotate}: R package for interactively annotating figures from the plot pane, using {grid} graphical objects.\r\nSnowGlobe: A tool for meta-analysis research. Developed with Jinnie Choi, Sean McWeeny, and Elizabeth Norton, with funding from the Northwestern University Library. Currently under development but basic features are functional. Validation experiments and guides at OSF repo.\r\nTutorial Blog Posts\r\n{ggplot2} stat_*() functions [post]\r\nCustom fonts in R [post]\r\n{purrr} reduce() family [post1, post2]\r\nThe correlation parameter in {lme4} mixed effects models [post]\r\nShortcuts for common chain of {dplyr} functions [post]\r\nPlotting highly-customizable treemaps with {treemap} and {ggplot2} [post]\r\nBy others\r\nTutorials:\r\nA ggplot2 Tutorial for Beautiful Plotting in R by Cédric Scherer\r\nggplot2 Wizardry Hands-On by Cédric Scherer\r\nggplot2 workshop by Thomas Lin Pedersen\r\nBooks:\r\nR for Data Science by Hadley Wickham and Garrett Grolemund\r\nR Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, and Garrett Grolemund\r\nggplot2: elegant graphics for data analysis by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen\r\nFundamentals of Data Visualization by Claus O. Wilke\r\nEfficient R Programming by Colin Gillespie and Robin Lovelace\r\nAdvanced R by Hadley Wickham\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-03T18:15:03-04:00"
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"path": "software.html",
"title": "Software",
"author": [],
- "contents": "\r\n\r\nContents\r\nggtrace\r\njlmerclusterperm\r\npointblank\r\nopenalexR\r\nggcolormeter\r\nddplot\r\nSnowglobe (retired)\r\n\r\nMain: Github profile, R-universe profile\r\nggtrace\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R\r\nLinks: Github, website, talks (useR! 2022, rstudio::conf 2022), paper\r\n\r\nProgrammatically explore, debug, and manipulate ggplot internals. Package {ggtrace} offers a low-level interface that extends base R capabilities of trace, as well as a family of workflow functions that make interactions with ggplot internals more accessible.\r\n\r\njlmerclusterperm\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R, Julia\r\nLinks: CRAN, Github, website\r\n\r\nAn implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld (2007). Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates Julia libraries MixedModels.jl and GLM.jl for performance improvements, with additional functionalities for interfacing with Julia from ‘R’ powered by the JuliaConnectoR package.\r\n\r\npointblank\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R, HTML/CSS, Javascript\r\nLinks: Github, website\r\n\r\nData quality assessment and metadata reporting for data frames and database tables\r\n\r\nopenalexR\r\n\r\n\r\n\r\nRole: Contributor\r\nLanguage: R\r\nLinks: Github, website\r\n\r\nA set of tools to extract bibliographic content from the OpenAlex database using API https://docs.openalex.org.\r\n\r\nggcolormeter\r\nRole: Author\r\nLanguage: R\r\nLinks: Github\r\n\r\n{ggcolormeter} adds guide_colormeter(), a {ggplot2} color/fill legend guide extension in the style of a dashboard meter.\r\n\r\nddplot\r\nRole: Contributor\r\nLanguage: R, JavaScript\r\nLinks: Github, website\r\n\r\nCreate ‘D3’ based ‘SVG’ (‘Scalable Vector Graphics’) graphics using a simple ‘R’ API. The package aims to simplify the creation of many ‘SVG’ plot types using a straightforward ‘R’ API. The package relies on the ‘r2d3’ ‘R’ package and the ‘D3’ ‘JavaScript’ library. See https://rstudio.github.io/r2d3/ and https://d3js.org/ respectively.\r\n\r\nSnowglobe (retired)\r\nRole: Author\r\nLanguage: R, SQL\r\nLinks: Github, OSF, poster\r\n\r\nAn iterative search tool for systematic reviews and meta-analyses, implemented as a Shiny app. Retired due to the discontinuation of the Microsoft Academic Graph service in 2021. I now contribute to {openalexR}.\r\n\r\n\r\n\r\n\r\n",
- "last_modified": "2024-09-03T18:15:06-04:00"
+ "contents": "\r\n\r\nContents\r\nggtrace\r\njlmerclusterperm\r\npointblank\r\nopenalexR\r\nggcolormeter\r\nddplot\r\nSnowglobe (retired)\r\n\r\nMain: Github profile, R-universe profile\r\nggtrace\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R\r\nLinks: Github, website, talks (useR! 2022, rstudio::conf 2022), paper\r\n\r\nProgrammatically explore, debug, and manipulate ggplot internals. Package {ggtrace} offers a low-level interface that extends base R capabilities of trace, as well as a family of workflow functions that make interactions with ggplot internals more accessible.\r\n\r\njlmerclusterperm\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R, Julia\r\nLinks: CRAN, Github, website\r\n\r\nAn implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld (2007). Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates Julia libraries MixedModels.jl and GLM.jl for performance improvements, with additional functionalities for interfacing with Julia from ‘R’ powered by the JuliaConnectoR package.\r\n\r\npointblank\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R, HTML/CSS, Javascript\r\nLinks: Github, website\r\n\r\nData quality assessment and metadata reporting for data frames and database tables\r\n\r\nopenalexR\r\n\r\n\r\n\r\nRole: Author\r\nLanguage: R\r\nLinks: Github, website\r\n\r\nA set of tools to extract bibliographic content from the OpenAlex database using API https://docs.openalex.org.\r\n\r\nggcolormeter\r\nRole: Author\r\nLanguage: R\r\nLinks: Github\r\n\r\n{ggcolormeter} adds guide_colormeter(), a {ggplot2} color/fill legend guide extension in the style of a dashboard meter.\r\n\r\nddplot\r\nRole: Contributor\r\nLanguage: R, JavaScript\r\nLinks: Github, website\r\n\r\nCreate ‘D3’ based ‘SVG’ (‘Scalable Vector Graphics’) graphics using a simple ‘R’ API. The package aims to simplify the creation of many ‘SVG’ plot types using a straightforward ‘R’ API. The package relies on the ‘r2d3’ ‘R’ package and the ‘D3’ ‘JavaScript’ library. See https://rstudio.github.io/r2d3/ and https://d3js.org/ respectively.\r\n\r\nSnowglobe (retired)\r\nRole: Author\r\nLanguage: R, SQL\r\nLinks: Github, OSF, poster\r\n\r\nAn iterative search tool for systematic reviews and meta-analyses, implemented as a Shiny app. Retired due to the discontinuation of the Microsoft Academic Graph service in 2021. I now contribute to {openalexR}.\r\n\r\n\r\n\r\n\r\n",
+ "last_modified": "2024-09-20T10:56:11-04:00"
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@@ -50,7 +50,7 @@
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- "last_modified": "2024-09-03T18:15:08-04:00"
+ "last_modified": "2024-09-20T10:56:14-04:00"
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"collections": ["posts/posts.json"]
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index db2af45..9c37af8 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -6,7 +6,7 @@
https://yjunechoe.github.io/
- 2023-11-04T12:28:35-04:00
+ 2024-09-20T11:01:09-04:00https://yjunechoe.github.io/news.html
@@ -14,7 +14,7 @@
https://yjunechoe.github.io/research.html
- 2024-09-06T16:49:38-04:00
+ 2024-09-20T10:55:53-04:00https://yjunechoe.github.io/resources.html
@@ -22,7 +22,7 @@
https://yjunechoe.github.io/software.html
- 2024-04-06T08:45:37-04:00
+ 2024-09-20T10:43:17-04:00https://yjunechoe.github.io/visualizations.html
diff --git a/docs/software.html b/docs/software.html
index bded69b..faeff82 100644
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@@ -32,7 +32,7 @@
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