Loading…

Completion norms for 3085 English sentence contexts

In everyday language processing, sentence context affects how readers and listeners process upcoming words. In experimental situations, it can be useful to identify words that are predicted to greater or lesser degrees by the preceding context. Here we report completion norms for 3085 English senten...

Full description

Saved in:
Bibliographic Details
Published in:Behavior research methods 2020-08, Vol.52 (4), p.1795-1799
Main Authors: Peelle, Jonathan E., Miller, Ryland L., Rogers, Chad S., Spehar, Brent, Sommers, Mitchell S., Van Engen, Kristin J.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03
cites cdi_FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03
container_end_page 1799
container_issue 4
container_start_page 1795
container_title Behavior research methods
container_volume 52
creator Peelle, Jonathan E.
Miller, Ryland L.
Rogers, Chad S.
Spehar, Brent
Sommers, Mitchell S.
Van Engen, Kristin J.
description In everyday language processing, sentence context affects how readers and listeners process upcoming words. In experimental situations, it can be useful to identify words that are predicted to greater or lesser degrees by the preceding context. Here we report completion norms for 3085 English sentences, collected online using a written cloze procedure in which participants were asked to provide their best guess for the word completing a sentence. Sentences varied between eight and ten words in length. At least 100 unique participants contributed to each sentence. All responses were reviewed by human raters to mitigate the influence of mis-spellings and typographical errors. The responses provide a range of predictability values for 13,438 unique target words, 6790 of which appear in more than one sentence context. We also provide entropy values based on the relative predictability of multiple responses. A searchable set of norms is available at http://sentencenorms.net . Finally, we provide the code used to collate and organize the responses to facilitate additional analyses and future research projects.
doi_str_mv 10.3758/s13428-020-01351-1
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7406521</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2348231002</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03</originalsourceid><addsrcrecordid>eNp9kU1PHDEMhiNUxGf_AAc0Ui-9DNhxks1ckKoVBSSkXuAchUxmGTSTLMlsRf99A7vl69CTLfnx69d6GTtCOKGZ1KcZSXBdA4cakCTWuMX2UEpRk-T6y7t-l-3n_ABAmqPYYbuETUONgj1G8zguBz_1MVQhpjFXXUwVgZbVeVgMfb6vsg-TD85XLpbmacqHbLuzQ_ZfN_WA3f48v5lf1te_Lq7mP65rJwVOteIdObSAurtrbStACYHkWz8jL7FTIGwrtdCgPArd6qZzSlnbaKGcEhbogJ2tdZeru9G3rvhIdjDL1I82_THR9ubjJPT3ZhF_m1m5JTkWge8bgRQfVz5PZuyz88Ngg4-rbDgJzQkBeEG_fUIf4iqF8p7hgkBpzaUsFF9TLsWck-9ezSCY50zMOhNTMjEvmZhnF8fv33hd-RdCAWgN5DIKC5_ebv9H9i9KN5Xh</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2430688255</pqid></control><display><type>article</type><title>Completion norms for 3085 English sentence contexts</title><source>Springer Nature</source><creator>Peelle, Jonathan E. ; Miller, Ryland L. ; Rogers, Chad S. ; Spehar, Brent ; Sommers, Mitchell S. ; Van Engen, Kristin J.</creator><creatorcontrib>Peelle, Jonathan E. ; Miller, Ryland L. ; Rogers, Chad S. ; Spehar, Brent ; Sommers, Mitchell S. ; Van Engen, Kristin J.</creatorcontrib><description>In everyday language processing, sentence context affects how readers and listeners process upcoming words. In experimental situations, it can be useful to identify words that are predicted to greater or lesser degrees by the preceding context. Here we report completion norms for 3085 English sentences, collected online using a written cloze procedure in which participants were asked to provide their best guess for the word completing a sentence. Sentences varied between eight and ten words in length. At least 100 unique participants contributed to each sentence. All responses were reviewed by human raters to mitigate the influence of mis-spellings and typographical errors. The responses provide a range of predictability values for 13,438 unique target words, 6790 of which appear in more than one sentence context. We also provide entropy values based on the relative predictability of multiple responses. A searchable set of norms is available at http://sentencenorms.net . Finally, we provide the code used to collate and organize the responses to facilitate additional analyses and future research projects.</description><identifier>ISSN: 1554-3528</identifier><identifier>ISSN: 1554-351X</identifier><identifier>EISSN: 1554-3528</identifier><identifier>DOI: 10.3758/s13428-020-01351-1</identifier><identifier>PMID: 31993960</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Behavioral Science and Psychology ; Cognitive Psychology ; Comprehension ; Entropy ; Humans ; Language ; Psychology</subject><ispartof>Behavior research methods, 2020-08, Vol.52 (4), p.1795-1799</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03</citedby><cites>FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03</cites><orcidid>0000-0001-9194-854X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31993960$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peelle, Jonathan E.</creatorcontrib><creatorcontrib>Miller, Ryland L.</creatorcontrib><creatorcontrib>Rogers, Chad S.</creatorcontrib><creatorcontrib>Spehar, Brent</creatorcontrib><creatorcontrib>Sommers, Mitchell S.</creatorcontrib><creatorcontrib>Van Engen, Kristin J.</creatorcontrib><title>Completion norms for 3085 English sentence contexts</title><title>Behavior research methods</title><addtitle>Behav Res</addtitle><addtitle>Behav Res Methods</addtitle><description>In everyday language processing, sentence context affects how readers and listeners process upcoming words. In experimental situations, it can be useful to identify words that are predicted to greater or lesser degrees by the preceding context. Here we report completion norms for 3085 English sentences, collected online using a written cloze procedure in which participants were asked to provide their best guess for the word completing a sentence. Sentences varied between eight and ten words in length. At least 100 unique participants contributed to each sentence. All responses were reviewed by human raters to mitigate the influence of mis-spellings and typographical errors. The responses provide a range of predictability values for 13,438 unique target words, 6790 of which appear in more than one sentence context. We also provide entropy values based on the relative predictability of multiple responses. A searchable set of norms is available at http://sentencenorms.net . Finally, we provide the code used to collate and organize the responses to facilitate additional analyses and future research projects.</description><subject>Behavioral Science and Psychology</subject><subject>Cognitive Psychology</subject><subject>Comprehension</subject><subject>Entropy</subject><subject>Humans</subject><subject>Language</subject><subject>Psychology</subject><issn>1554-3528</issn><issn>1554-351X</issn><issn>1554-3528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kU1PHDEMhiNUxGf_AAc0Ui-9DNhxks1ckKoVBSSkXuAchUxmGTSTLMlsRf99A7vl69CTLfnx69d6GTtCOKGZ1KcZSXBdA4cakCTWuMX2UEpRk-T6y7t-l-3n_ABAmqPYYbuETUONgj1G8zguBz_1MVQhpjFXXUwVgZbVeVgMfb6vsg-TD85XLpbmacqHbLuzQ_ZfN_WA3f48v5lf1te_Lq7mP65rJwVOteIdObSAurtrbStACYHkWz8jL7FTIGwrtdCgPArd6qZzSlnbaKGcEhbogJ2tdZeru9G3rvhIdjDL1I82_THR9ubjJPT3ZhF_m1m5JTkWge8bgRQfVz5PZuyz88Ngg4-rbDgJzQkBeEG_fUIf4iqF8p7hgkBpzaUsFF9TLsWck-9ezSCY50zMOhNTMjEvmZhnF8fv33hd-RdCAWgN5DIKC5_ebv9H9i9KN5Xh</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Peelle, Jonathan E.</creator><creator>Miller, Ryland L.</creator><creator>Rogers, Chad S.</creator><creator>Spehar, Brent</creator><creator>Sommers, Mitchell S.</creator><creator>Van Engen, Kristin J.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9194-854X</orcidid></search><sort><creationdate>20200801</creationdate><title>Completion norms for 3085 English sentence contexts</title><author>Peelle, Jonathan E. ; Miller, Ryland L. ; Rogers, Chad S. ; Spehar, Brent ; Sommers, Mitchell S. ; Van Engen, Kristin J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavioral Science and Psychology</topic><topic>Cognitive Psychology</topic><topic>Comprehension</topic><topic>Entropy</topic><topic>Humans</topic><topic>Language</topic><topic>Psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peelle, Jonathan E.</creatorcontrib><creatorcontrib>Miller, Ryland L.</creatorcontrib><creatorcontrib>Rogers, Chad S.</creatorcontrib><creatorcontrib>Spehar, Brent</creatorcontrib><creatorcontrib>Sommers, Mitchell S.</creatorcontrib><creatorcontrib>Van Engen, Kristin J.</creatorcontrib><collection>SpringerOpen (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Behavior research methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peelle, Jonathan E.</au><au>Miller, Ryland L.</au><au>Rogers, Chad S.</au><au>Spehar, Brent</au><au>Sommers, Mitchell S.</au><au>Van Engen, Kristin J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Completion norms for 3085 English sentence contexts</atitle><jtitle>Behavior research methods</jtitle><stitle>Behav Res</stitle><addtitle>Behav Res Methods</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>52</volume><issue>4</issue><spage>1795</spage><epage>1799</epage><pages>1795-1799</pages><issn>1554-3528</issn><issn>1554-351X</issn><eissn>1554-3528</eissn><abstract>In everyday language processing, sentence context affects how readers and listeners process upcoming words. In experimental situations, it can be useful to identify words that are predicted to greater or lesser degrees by the preceding context. Here we report completion norms for 3085 English sentences, collected online using a written cloze procedure in which participants were asked to provide their best guess for the word completing a sentence. Sentences varied between eight and ten words in length. At least 100 unique participants contributed to each sentence. All responses were reviewed by human raters to mitigate the influence of mis-spellings and typographical errors. The responses provide a range of predictability values for 13,438 unique target words, 6790 of which appear in more than one sentence context. We also provide entropy values based on the relative predictability of multiple responses. A searchable set of norms is available at http://sentencenorms.net . Finally, we provide the code used to collate and organize the responses to facilitate additional analyses and future research projects.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31993960</pmid><doi>10.3758/s13428-020-01351-1</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-9194-854X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1554-3528
ispartof Behavior research methods, 2020-08, Vol.52 (4), p.1795-1799
issn 1554-3528
1554-351X
1554-3528
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7406521
source Springer Nature
subjects Behavioral Science and Psychology
Cognitive Psychology
Comprehension
Entropy
Humans
Language
Psychology
title Completion norms for 3085 English sentence contexts
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T02%3A31%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Completion%20norms%20for%203085%20English%20sentence%20contexts&rft.jtitle=Behavior%20research%20methods&rft.au=Peelle,%20Jonathan%20E.&rft.date=2020-08-01&rft.volume=52&rft.issue=4&rft.spage=1795&rft.epage=1799&rft.pages=1795-1799&rft.issn=1554-3528&rft.eissn=1554-3528&rft_id=info:doi/10.3758/s13428-020-01351-1&rft_dat=%3Cproquest_pubme%3E2348231002%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c541t-62f3c1a018fbdad4064413ede73e51f604ad584806e148d89fc66aa9846c64a03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2430688255&rft_id=info:pmid/31993960&rfr_iscdi=true