date: 2019-04-01T05:45:40Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Counting ?uhm?s_ How tracking the distribution of native and non-native disfluencies influences online language comprehension xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Journal of Memory and Language, 106 (2019) 189-202. doi:10.1016/j.jml.2019.02.006 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:encrypted: false dc:title: Counting ?uhm?s_ How tracking the distribution of native and non-native disfluencies influences online language comprehension modified: 2019-04-01T05:45:40Z cp:subject: Journal of Memory and Language, 106 (2019) 189-202. doi:10.1016/j.jml.2019.02.006 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Journal of Memory and Language, 106 (2019) 189-202. doi:10.1016/j.jml.2019.02.006 pdf:docinfo:creator: Hans Rutger Bosker meta:author: Marjolein van Os meta:creation-date: 2019-03-29T18:27:18Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2019-03-29T18:27:18Z access_permission:extract_for_accessibility: true Creation-Date: 2019-03-29T18:27:18Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 6.5 pdf:docinfo:custom:doi: 10.1016/j.jml.2019.02.006 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Marjolein van Os CrossmarkDomainExclusive: true pdf:docinfo:custom:f: 349d6d3f-6845-402a-8a92-2d8a3b30e92f:1554097506 doi: 10.1016/j.jml.2019.02.006 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Journal of Memory and Language, 106 (2019) 189-202. doi:10.1016/j.jml.2019.02.006 Keywords: Distributional learning; Pragmatic inferences; Disfluencies; Non-native speech; Prediction; Eye-tracking; access_permission:modify_annotations: true dc:creator: Marjolein van Os description: Journal of Memory and Language, 106 (2019) 189-202. doi:10.1016/j.jml.2019.02.006 dcterms:created: 2019-03-29T18:27:18Z Last-Modified: 2019-04-01T05:45:40Z dcterms:modified: 2019-04-01T05:45:40Z title: Counting ?uhm?s_ How tracking the distribution of native and non-native disfluencies influences online language comprehension xmpMM:DocumentID: uuid:af5c3973-826d-41b8-8c75-0a7b27b8d783 Last-Save-Date: 2019-04-01T05:45:40Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Distributional learning; Pragmatic inferences; Disfluencies; Non-native speech; Prediction; Eye-tracking; pdf:docinfo:modified: 2019-04-01T05:45:40Z meta:save-date: 2019-04-01T05:45:40Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Marjolein van Os dc:subject: Distributional learning; Pragmatic inferences; Disfluencies; Non-native speech; Prediction; Eye-tracking; f: 349d6d3f-6845-402a-8a92-2d8a3b30e92f:1554097506 pdf:docinfo:custom:ElsevierWebPDFSpecifications: 6.5 access_permission:assemble_document: true xmpTPg:NPages: 14 pdf:charsPerPage: 4392 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Distributional learning; Pragmatic inferences; Disfluencies; Non-native speech; Prediction; Eye-tracking; access_permission:can_modify: true pdf:docinfo:created: 2019-03-29T18:27:18Z CrossmarkMajorVersionDate: 2010-04-23