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The objective of this article was to review existing research to assess the evidence for predictive processing (PP) in sign language, the conditions under which it occurs, and the effects of language mastery (sign language as a first language, sign language as a second language, bimodal bilingualism) on the neural bases of PP. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. We searched peer-reviewed electronic databases (SCOPUS, Web of Science, PubMed, ScienceDirect, and EBSCO host) and gray literature (dissertations in ProQuest). We also searched the reference lists of records selected for the review and forward citations to identify all relevant publications. We searched for records based on five criteria (original work, peer-reviewed, published in English, research topic related to PP or neural entrainment, and human sign language processing). To reduce the risk of bias, the remaining two authors with expertise in sign language processing and a variety of research methods reviewed the results. Disagreements were resolved through extensive discussion. In the final review, 7 records were included, of which 5 were published articles and 2 were dissertations. The reviewed records provide evidence for PP in signing populations, although the underlying mechanism in the visual modality is not clear. The reviewed studies addressed the motor simulation proposals, neural basis of PP, as well as the development of PP. All studies used dynamic sign stimuli. Most of the studies focused on semantic prediction. The question of the mechanism for the interaction between one’s sign language competence (L1 vs. L2 vs. bimodal bilingual) and PP in the manual-visual modality remains unclear, primarily due to the scarcity of participants with varying degrees of language dominance. There is a paucity of evidence for PP in sign languages, especially for frequency-based, phonetic (articulatory), and syntactic prediction. However, studies published to date indicate that Deaf native/native-like L1 signers predict linguistic information during sign language processing, suggesting that PP is an amodal property of language processing. Systematic Review Registration [ https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021238911 ], identifier [CRD42021238911].
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Plant science corpus
The plant science corpus consists of the titles and abstracts of plant science articles in PubMed published prior to 2021 with a small number of 2021 records due to modification of records. The columns are: Index: integer index serving as identifier PMID: PubMed identifier Date: Publication date Journal: journal where the article was published Title: Title of the article Abstract: Abstract of the article Corpus: Title and abstract combined Text classification score: plant science record prediction model score Preprocessed corpus: Corpus after lower-casing, stop word removal, removal of non-alphanumeric and non-white space characters, lemmitisation Topic: index of topics after topic modeling
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- Award ID(s):
- 2107215
- PAR ID:
- 10475805
- Publisher / Repository:
- Zenodo
- Date Published:
- Format(s):
- Medium: X
- Location:
- Michigan State University
- Sponsoring Org:
- National Science Foundation
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