Hello, everyone! I am Hao Sun from linguistics department, SUNY at Buffalo. I'm a Ph.D candidate in the linguistics department.
My research lies under the broad umbrella of cognitive sciences, including statistical analysis, computational modeling and psycholinguistic experiments. My interests include computational linguistics, computational psycholinguistics, psycholinguistics, argument structure and neurolinguistics. I am also intrigued by cognitive processes, in particular learning.
1. Computational linguistics is a promising field which provides a number of tools for not only theoretical studies but for language engineering as well. My favourite computational frameworks include graph-based models and Bayesian models.
2. Psycholinguistics and neurolinguistics focus on behavior patterns or neurological underpinnings of language production and comprehension. My studies focus on the acquisition of argument structures, in particular valence alternations.
3. Argument structure is the comprehensive study of the mapping from lexical semantics to syntax. My research focuses on construction alternations and the distribution of verbs that appear in valence alternations.
Research in Progress
1. Psycholinguistic and Corpus work on Language Development: the learning of argumen-structure constructions,working with Professor Jean-Pierre Koenig.
2. Cognitive Modeling: the learning of verbs and argument structures, working with Professor John Pate, in particular graph approaches and non-linear dimensionality reduction.
3. Grammar Induction: Unsupervised parsing, working with Professor John Pate.
4. Models of linguistic typology and diachronic phenomena.
1. Computational Linguistics: distributional semantics, topic models.
2. Machine Learning: Bayesian Nonparametrics and Nonlinear Dimensionality Reduction.
3. Theoretical Computer Science:Graph Theory and Information Theory.
4. Mathematical Models: Matrices and Stochastic Processes.
5. Computational Biology: Computational Phylogenetics.
1. Sun, H & Koenig, J. P. (2017) There are more valence alternations than the ditransitive. Proceedings of the 43th annual meeting of the Berkeley Linguistics Society. [pdf]
2. Sun, H & Pate, J. (2017) The semantic spaces of child speech, child-directed speech and adult-directed speech: a manifold perspective. Proceedings of the 39th annual meeting of the Cognitive Science Society. [pdf]
Mandarin (mother tongue), English (proficent), Japanese (proficient), Shanghai Wu (proficient in comprehension but not in production), French (intermediate).
Computational Linguistics (fall 2015-now) The computational linguistics lab is a lab led by Professor John Pate that focuses on grammar induction.
Psycholinguistics (fall 2013-now) The psycholinguistics lab is a lab led by Professor Gail Mauner that focuses on language comprehension.
Tessera and Intertexuality(fall 2011-spring 2012) Tesseara is a digital humanity project led by Professor Neil Coffee for developing computational tools for analyzing the intertextuality for Latin and ancient Greek. I worked on the semantic similarity team and used vector space models to measure sentence similarity.
Exchange Program Director: UB-CNU Language Exchange Program--Chinese Language and Culture
Research Assistant: Computational Linguistics Lab
Language Instructor: Chinese 101, 102