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Hits 1 – 20 of 24
1
Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
Brysbaert, Marc
;
Keuleers, Emmanuel
;
Paweł Mandera
. - : SAGE Journals, 2020
Abstract:
To have more information about the English words known by second language (L2) speakers, we ran a large-scale crowdsourcing vocabulary test, which yielded 17 million useful responses. It provided us with a list of 445 words known to nearly all participants. The list was compared to various existing lists of words advised to include in the first stages of English L2 teaching. The data also provided us with a ranking of 61,000 words in terms of degree and speed of word recognition in English L2 speakers, which correlated r = .85 with a similar ranking based on native English speakers. The L2 speakers in our study were relatively better at academic words (which are often cognates in their mother tongue) and words related to experiences English L2 students are likely to have. They were worse at words related to childhood and family life. Finally, a new list of 20 levels of 1,000 word families is presented, which will be of use to English L2 teachers, as the levels represent the order in which English vocabulary ...
Keyword:
200399 Language Studies not elsewhere classified
;
Education
;
FOS Languages and literature
URL:
https://dx.doi.org/10.25384/sage.c.5031008
https://sage.figshare.com/collections/Which_words_do_English_non-native_speakers_know_New_supernational_levels_based_on_yes_no_decision/5031008
BASE
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2
Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
Brysbaert, Marc
;
Keuleers, Emmanuel
;
Paweł Mandera
. - : SAGE Journals, 2020
BASE
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3
osfstorage-archive – Supplemental material for Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
Brysbaert, Marc
;
Keuleers, Emmanuel
;
Paweł Mandera
. - : SAGE Journals, 2020
BASE
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4
osfstorage-archive – Supplemental material for Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
Brysbaert, Marc
;
Keuleers, Emmanuel
;
Paweł Mandera
. - : SAGE Journals, 2020
BASE
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5
Recognition Times for 54 Thousand Dutch Words: Data from the Dutch Crowdsourcing Project
Brysbaert, Marc
;
Keuleers, Emmanuel
;
Mandera, Paweł
. - : Ubiquity Press, 2019
BASE
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6
Corpus linguistics
Brysbaert, Marc
;
Mandera, Paweł
;
Keuleers, Emmanuel
In: Research methods in psycholinguistics and the neurobiology of language (Hoboken, NJ, 2018), p. 230-246
MPI für Psycholinguistik
7
SPALEX: A Spanish Lexical Decision Database From a Massive Online Data Collection
Aguasvivas, Jose Armando
;
Carreiras, Manuel
;
Brysbaert, Marc
. - : Frontiers Media S.A., 2018
BASE
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8
SUBTLEX-UK: a new and improved word frequency database for British English
van Heuven, Walter J.B.
;
Mandera, Pawel
;
Keuleers, Emmanuel
. - : Taylor & Francis, 2014
BASE
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9
How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies
Kuperman, Victor
;
Drieghe, Denis
;
Keuleers, Emmanuel
. - 2013
BASE
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10
Detecting inherent bias in lexical decision experiments with the LD1NN algorithm
Brysbaert, Marc
;
Keuleers, Emmanuel
In: Methodological and analytic frontiers in lexical research (2012)
IDS Mannheim
11
Methodological and analytic frontiers in lexical research
Rueckl, Jay G.
;
Van Orden, Guy
;
O'Brien, Beth A.
. - Amsterdam [u.a.] : Benjamins, 2012
BLLDB
UB Frankfurt Linguistik
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12
Testing theories of post-error slowing.
Dutilh, Gilles
;
Vandekerckhove, Joachim
;
Forstmann, Birte U
...
In: Attention, perception & psychophysics, vol 74, iss 2 (2012)
BASE
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13
An evaluation of the Google Books ngrams for psycholinguistic research
Keuleers, Emmanuel
;
Brysbaert, Marc
;
New, Boris
. - 2012
BASE
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14
Lexical resources in psycholinguistic research
Brysbaert, Marc
;
Belke, Eva
;
Kliegl, Reinhold
. - 2012
BASE
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15
Detecting inherent bias in lexical decision experiments with the LD1NN algorithm
Brysbaert, Marc
;
Keuleers, Emmanuel
In:
The mental lexicon. - Amsterdam [u.a.] : John Benjamins Publishing Company
6 (2011) 1, 34-52
BLLDB
OLC Linguistik
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16
The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words
Keuleers, Emmanuel
;
Lacey, Paula
;
Rastle, Kathleen
. - : Springer-Verlag, 2011
BASE
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17
The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words
Keuleers, Emmanuel
;
Lacey, Paula
;
Rastle, Kathy
...
In: Behavior Research Methods (2011)
BASE
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18
The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words
Keuleers, Emmanuel
;
Lacey, Paula
;
Rastle, Kathy
...
In: Behavior Research Methods (2011)
BASE
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19
The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words
Keuleers, Emmanuel
;
Lacey, Paula
;
Rastle, Kathy
...
In: Behavior Research Methods (2011)
BASE
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20
Assessing the Usefulness of Google Books’ Word Frequencies for Psycholinguistic Research on Word Processing
Brysbaert, Marc
;
Keuleers, Emmanuel
;
New, Boris
. - : Frontiers Research Foundation, 2011
BASE
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