CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading
<jats:title>Abstract</jats:title> <jats:p>We present CELER (Corpus of Eye Movements in L1 and L2 English Reading), a broad coverage eye-tracking corpus for English. CELER comprises over 320,000 words, and eye-tracking data from 365 participants. Sixty-nine participa...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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MIT Press - Journals
2023
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| Online Access: | https://hdl.handle.net/1721.1/150006 |
| _version_ | 1826212010002481152 |
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| author | Berzak, Yevgeni Nakamura, Chie Smith, Amelia Weng, Emily Katz, Boris Flynn, Suzanne Levy, Roger |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Berzak, Yevgeni Nakamura, Chie Smith, Amelia Weng, Emily Katz, Boris Flynn, Suzanne Levy, Roger |
| author_sort | Berzak, Yevgeni |
| collection | MIT |
| description | <jats:title>Abstract</jats:title>
<jats:p>We present CELER (Corpus of Eye Movements in L1 and L2 English Reading), a broad coverage eye-tracking corpus for English. CELER comprises over 320,000 words, and eye-tracking data from 365 participants. Sixty-nine participants are L1 (first language) speakers, and 296 are L2 (second language) speakers from a wide range of English proficiency levels and five different native language backgrounds. As such, CELER has an order of magnitude more L2 participants than any currently available eye movements dataset with L2 readers. Each participant in CELER reads 156 newswire sentences from the Wall Street Journal (WSJ), in a new experimental design where half of the sentences are shared across participants and half are unique to each participant. We provide analyses that compare L1 and L2 participants with respect to standard reading time measures, as well as the effects of frequency, surprisal, and word length on reading times. These analyses validate the corpus and demonstrate some of its strengths. We envision CELER to enable new types of research on language processing and acquisition, and to facilitate interactions between psycholinguistics and natural language processing (NLP).</jats:p> |
| first_indexed | 2024-09-23T15:15:03Z |
| format | Article |
| id | mit-1721.1/150006 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:15:03Z |
| publishDate | 2023 |
| publisher | MIT Press - Journals |
| record_format | dspace |
| spelling | mit-1721.1/1500062023-04-01T03:10:43Z CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading Berzak, Yevgeni Nakamura, Chie Smith, Amelia Weng, Emily Katz, Boris Flynn, Suzanne Levy, Roger Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences <jats:title>Abstract</jats:title> <jats:p>We present CELER (Corpus of Eye Movements in L1 and L2 English Reading), a broad coverage eye-tracking corpus for English. CELER comprises over 320,000 words, and eye-tracking data from 365 participants. Sixty-nine participants are L1 (first language) speakers, and 296 are L2 (second language) speakers from a wide range of English proficiency levels and five different native language backgrounds. As such, CELER has an order of magnitude more L2 participants than any currently available eye movements dataset with L2 readers. Each participant in CELER reads 156 newswire sentences from the Wall Street Journal (WSJ), in a new experimental design where half of the sentences are shared across participants and half are unique to each participant. We provide analyses that compare L1 and L2 participants with respect to standard reading time measures, as well as the effects of frequency, surprisal, and word length on reading times. These analyses validate the corpus and demonstrate some of its strengths. We envision CELER to enable new types of research on language processing and acquisition, and to facilitate interactions between psycholinguistics and natural language processing (NLP).</jats:p> 2023-03-30T13:20:43Z 2023-03-30T13:20:43Z 2022 2023-03-30T13:17:48Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/150006 Berzak, Yevgeni, Nakamura, Chie, Smith, Amelia, Weng, Emily, Katz, Boris et al. 2022. "CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading." Open Mind, 6. en 10.1162/OPMI_A_00054 Open Mind Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf MIT Press - Journals MIT Press |
| spellingShingle | Berzak, Yevgeni Nakamura, Chie Smith, Amelia Weng, Emily Katz, Boris Flynn, Suzanne Levy, Roger CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title | CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title_full | CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title_fullStr | CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title_full_unstemmed | CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title_short | CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading |
| title_sort | celer a 365 participant corpus of eye movements in l1 and l2 english reading |
| url | https://hdl.handle.net/1721.1/150006 |
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