CV

Yejin Cho

Ph.D. in Computational Linguistics
University of Texas at Austin

ycho@utexas.edu
Curriculum Vitae [pdf]

 


Research Interests


  • Computational Semantics
    • Representation learning, language modeling, natural language understanding
    • Machine learning and neural approaches for modeling Semantics

 


Education


ut-austin

University of Texas at Austin
Ph.D. in Computational Linguistics
Fall 2018 – Present
Advisors: Katrin Erk and Jessy Li

Teaching assistantship (TA):
– LIN 313 Language and Computers (Fall 2018, Fall 2019; instructor: Dr. Jessy Li) [course website]

– LIN 350 Computational Semantics (Spring 2020; instructor: Dr. Katrin Erk) [course website]

Research Assistantship (RA):
– Hypernymy Prediction project (Spring 2019 – Fall 2019) (Advisor: Dr. Katrin Erk)


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Korea University

Masters of English Language and Literature
Fall 2015 – Fall 2017
Total GPA of 4.5 / 4.5 (100 / 100)
Advisor: Hosung Nam

Master’s thesis (Fall 2017):
Functional awareness in RNNLM-based word embeddings [pdf]

Courses in Linguistics:
– Practice in Phonetics, Special topics in Phonetics I & II, Special topics in Phonology I, Seminar in Phonology, History of Syntactic Theory, Second Language Acquisition

Courses in Computer Science / Brain and Cognitive Engineering / Psychology:
– Natural Language Processing, Introduction to Neural Networks, Numerical Linear Algebra, Introduction to Applied Mathematics (audited), Applied Mathematics for Brain and Cognitive Engineering I, Advanced Experimental Design


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Yonsei University

Bachelor of Arts in Korean Language and Literature,
and English Language and Literature (Double major)
Spring 2011 – Spring 2015
Total GPA of 3.87 / 4.3 (90 / 100)

Courses (undergraduate level):
– Language and its Application (Introduction to General Linguistics), Korean Phonetics, Introduction to Korean Linguistics, Introduction to French Linguistics, Use of English and Society (Sociolinguistics), Korean Semantics, English Computational Linguistics, Korean Morphology,  Teaching Method of Korean Language Curriculum, History of Research in Korean Grammar, Korean Syntax

Courses (graduate level):
– Studies in Korean Phonetics, Acoustic Analysis of Speech and Construction of Speech Corpora, Studies in English Phonology I


UCLA_emblem

University of California, Los Angeles (UCLA)
Exchange Student, Linguistics
Fall 2013 – Spring 2014
Total GPA of 3.97 / 4.0 (99 / 100)
Listed on the Dean’s Honors list for three quarters

Research Assistant (RA) for Kie Zuraw and Yu Tanaka at UCLA Phonetics Laboratory, Spring 2014

Courses in Linguistics:
– Introduction to Linguistics, Syntax I, Introduction to General Phonetics, Phonology I, Individual Studies in Linguistics, Phonetic Theory (Graduate level) 

 


Research Experience


  • EMCS Laboratory, Korea University (Fall 2015 – Present)
    (Education, Mathematics, Computer science and Speech Laboratory)
    Research Member 

    • Advisor: Hosung Nam
    • Built Korean Large Vocabulary Continuous Speech Recognition (LVCSR) system (800k vocabulary) from raw text and audio corpora with transcription using Kaldi Speech Recognition Toolkit
    • Subword (Pseudo-morpheme) language modeling for building Korean LVCSR system
    • Language modeling experiments using SRILM and RNNLM Toolkit
    • Designed and developed Korean text normalization and language preparation package for LM in Kaldi-based ASR system (KoLM) [github]
    • Designed and developed rule-based Korean Grapheme-to-Phone conversion system (KoG2P) [github]

 


  • UCLA Phonetics Laboratory, University of California, Los Angeles (Spring 2014)
    Research Assistant

    • Assisted Kie Zuraw with one research project
      • Aspiration and the gradient structure of English prefixed word (Zuraw, Kie and Sharon Pepperkamp, 2015) [pdf]
      • Fine-tuned segmentation boundaries and performed aspiration judgment of English stops using Praat
    • Assisted Yu Tanaka with two research projects
      • The role of contrast in the distributional restrictions on Japanese palatalized consonants (Yu Tanaka, 2014) [pdf]
      • Laryngeal restrictions on K’iche’: Testing Gallagher’s (2010) theory
      • Conducted production and perception experiments on native and non-native speakers of English

 


Teaching


  • MATLAB Programming for Humanities majors, Korea University (January, 2016)
    Teaching Assistant 

    • Covered basics of MATLAB programming
    • Ran hands-on classes for over 40 students, answered questions in person and online, scored and commented on student assignments for 4 weeks
    •  Led team project LyricsAnalyzer
      • Web crawling and text mining of Korean lyrics [slide

 


Publications


  • Yejin Cho. 2017. Functional awareness of RNNLM-based word embeddings. Master’s thesis. [pdf]
  • Heejo You, Hyungwon Yang, Jaekoo Kang, Youngsun Cho, Sunghah Hwang, Yeonjung Hong, Yejin Cho, Seohyun Kim, and Hosung Nam. 2016. Development of articulatory estimation model using deep neural network. Phonetics and Speech Sciences. 8:31-38. 10.13064/KSSS.2016.8.3.031. [pdf]
  • Jaekoo Kang, Hyungwon Yang, Sunghah Hwang, Youngsun Cho, Yeonjung Hong, Yejin Cho, and Hosung Nam. 2015. Vowel variability in Seoul corpus vs. Buckeye corpus. In Proceedings of 2015 International Conference on Speech Sciences, Ewha Womans Univ., Seoul, Korea, 20-21 November, 155-156. Best Student Paper. [pdf]
  • Jaekoo Kang, Hyun-Woong Kim, Sujin Kim, Yeonjung Hong, Youngsun Cho, Hyungwon Yang, Sunghah Hwang, Yejin Cho, Chai-Youn Kim, and Hosung Nam. 2015. Variability of speech and eye movement in reading. In Proceedings of 2015 International Conference on Speech Sciences, Ewha Womans Univ., Seoul, Korea, 20-21 November, 147-148. [pdf]
  • Sunghah Hwang, Jaekoo Kang, Hyungwon Yang, Youngsun Cho, Yeonjung Hong, Yejin Cho, and Hosung Nam. 2015. ANN based mapping between articulatory and acoustic information using X-ray microbeam data. In Proceedings of 2015 International Conference on Speech Sciences, Ewha Womans Univ., Seoul, Korea, 20-21 November, 117-118. [pdf]
  • Hyungwon Yang, Jinwon Kang, Jaekoo Kang, Sunghah Hwang, Youngsun Cho, Yeonjung Hong, Yejin Cho, Kichun Nam, and Hosung Nam. 2015. Visual word recognition: an event-related potential investigation using masked repetition priming. In Proceedings of 2015 International Conference on Speech Sciences, Ewha Womans Univ., Seoul, Korea, 20-21 November, 215-216. [pdf]
  • Youngsun Cho, Jaekoo Kang, Hyungwon Yang, Sunghah Hwang, Yeonjung Hong, Yejin Cho, and Hosung Nam. 2015. Hand gesture and head movement as a tool for tonal control in L2 production of Mandarin Chinese. In Proceedings of 2015 International Conference on Speech Sciences, Ewha Womans Univ., Seoul, Korea, 20-21 November, 217-218. [pdf]

 


Honors and Awards


  • National Humanities Scholarship: Graduate Research Scholarship for Humanities and Social Sciences, Korea Student Aid Foundation (KOSAF), 2016–2017
  • Honors Scholarships, Korea University, 2016
  • Teaching Assistant Scholarships, Korea University, 2015-2017
  • Semester High Honors, Yonsei University, 2014 Fall, 2012 Spring
  • Dean’s Honors List, University of California, Los Angeles (UCLA), 2013 Fall, 2013 Winter, 2014 Spring
  • National Humanities Scholarship: The Next Century Humanities Scholarship (for undergraduates in humanities and social sciences), Korea Student Aid Foundation (KOSAF), 2013-2014
  • Best Honors Scholarships, Yonsei University, 2012 Fall

 


Technical Skills


Advanced Python, MATLAB, Kaldi, SRILM, HTK, Praat script
Moderate PyTorch, TensorFlow, UNIX shell scripting, R

 


Language Proficiency


  • Native in Korean
  • Fluent in English
  • Intermediate in French (DELF B1)
  • Basic conversation and readability in Japanese and Modern Standard Arabic (MSA)