Human Sentence Processing 2023

The LRDC is delighted to be helping to host the 36th Annual Conference on Human Sentence Processing at the University of Pittsburgh.

The NSF-funded special session for this year's conference is entitled 'Literacy, Education, and Language Processing.' The University of Pittsburgh's Learning Research and Development Center is the perfect host for this conference because it is a leader in bridging basic science, educational research, and educational policy. The goal of this special session is to shed light on connections between psycholinguistics, educational psychology, and educational technology by highlighting research related to: (1) how language processing is shaped by formal education and literacy, (2) how we can use our knowledge of human language processing in education, and (3) how technology can quantify language experience and attainment.

We are delighted to welcome the following six invited speakers (in alphabetical order):

HSP2023 will follow a hybrid model: Plenary talks will be presented in person, but it will be possible to attend the invited presentations and peer-reviewed plenary presentations either in person or virtually. We will have one entirely virtual poster session on Saturday, March 11th, 2023, at 8:00 - 9:00 AM US Eastern Standard Time, UTC -5. The remaining poster sessions will be in-person only.

Abstract Submission Information

We welcome your contributions to the special session. And, as always, we invite abstracts related to language processing more generally. Abstracts may be submitted for posters or for 20-minute in-person plenary presentations.

Submit abstracts here

Abstracts are due on Wednesday, December 7, 2022 by 11:59:59pm (Anywhere On Earth).

Dr. Maayan Keshev, a postdoc on the HSP Executive Committee, has put together a document of tips for how to write a HSP abstract.

Abstract Specifications

The text of the abstract is limited to a single page. Tables, examples, data charts and references may be placed on a second page.

Abstracts should not include authors or affiliations in the PDF. Please also avoid any identifying information about the authors in the text of the abstract itself (e.g., "In our previous work, we found...").

Please be sure your abstract mentions the language(s) being investigated. Do not omit the language under investigation if it is English.

Format:
- 1" margin all around
- 11pt Arial font
- U.S. Letter size document (8.5 x 11") in portrait orientation.

For more information, please contact hsp2023@pitt.edu.