scholarly journals How are affective word ratings related to lexicosemantic properties? Evidence from the Sussex Affective Word List

2012 ◽  
Vol 35 (2) ◽  
pp. 313-331 ◽  
Author(s):  
FRANCESCA M. M. CITRON ◽  
BRENDAN S. WEEKES ◽  
EVELYN C. FERSTL
Keyword(s):  
Word Recognition ◽  
Recognition Performance ◽  
Word List ◽  
Age Of Acquisition ◽  
Emotional Valence ◽  
Native English Speakers ◽  
Verbal Material ◽  
Cognitive Tasks ◽  
English Speakers ◽  
Affective Word

ABSTRACTEmotional content of verbal material affects the speed of visual word recognition in various cognitive tasks, independently of lexicosemantic variables. However, little is known about how the dimensions of emotional arousal and valence interact with the lexicosemantic properties of words such as age of acquisition, familiarity, and imageability, that determine word recognition performance. This study aimed to examine these relationships using English ratings for affective and lexicosemantic features. Eighty-two native English speakers rated 300 words for emotional valence, arousal, familiarity, age of acquisition, and imageability. Although both dimensions of emotion were correlated with lexicosemantic variables, a unique emotion cluster produced the strongest quadratic relationship. This finding suggests that emotion should be included in models of word recognition as it is likely to make an independent contribution.

scholarly journals Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project

2019 ◽  
Author(s):  
Marc Brysbaert ◽  
Emmanuel Keuleers ◽  
Paweł Mandera
Keyword(s):  
Word Recognition ◽  
Response Times ◽  
Native English Speakers ◽  
English Word ◽  
English Speakers ◽  
Vocabulary Test ◽  
Response Latencies ◽  
Virtual Experiments

We present a new dataset of English word recognition times for a total of 62 thousand words, called the English Crowdsourcing Project. The data were collected via an internet vocabulary test, in which more than one million people participated. The present dataset is limited to native English speakers. Participants were asked to indicate which words they knew. Their response times were registered, although at no point were the participants asked to respond as fast as possible. Still, the response times correlate around .75 with the response times of the English Lexicon Project for the shared words. Also results of virtual experiments indicate that the new response times are a valid addition to the English Lexicon Project. This not only means that we have useful response times for some 35 thousand extra words, but we now also have data on differences in response latencies as a functionof education and age.

Similarity neighbourhoods of words in young children's lexicons

1990 ◽  
Vol 17 (1) ◽  
pp. 205-215 ◽  
Author(s):  
Jan Charles-Luce ◽  
Paul A. Luce
Keyword(s):  
Word Recognition ◽  
Young Children ◽  
Structural Organization ◽  
Mental Lexicon ◽  
Native English Speakers ◽  
English Speakers ◽  
Auditory Word ◽  
Auditory Word Recognition

ABSTRACTSimilarity neighbourhoods for words in young children's lexicons were investigated using three computerized databases. These databases were representative of three groups of native English speakers: 5-year-olds, 7-year-olds, and adults. Computations relating to the similarity neighbourhoods of words in the children's and adult's lexicon revealed that words in the 5- and 7-year-olds' lexicons have many fewer similar neighbours than the same words analyzed in the adult lexicon. Thus, young children may employ more global recognition strategies because words are more discriminable in memory. The neighbourhood analyses provide a number of insights into the processes of auditory word recognition in children and the possible structural organization of words in the young child's mental lexicon.

scholarly journals Which words do English non-native speakers know? New supernational levels based on yes/no decision

2020 ◽  
pp. 026765832093452
Author(s):  
Marc Brysbaert ◽  
Emmanuel Keuleers ◽  
Paweł Mandera
Keyword(s):  
Word Recognition ◽  
Family Life ◽  
Large Scale ◽  
Native Speakers ◽  
Mother Tongue ◽  
Native English Speakers ◽  
English Speakers ◽  
Vocabulary Test ◽  
Word Families ◽  
The World

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 seems to be acquired by L2 learners across the world.

Clinical Strategies for Sampling Word Recognition Performance

2018 ◽  
Vol 61 (4) ◽  
pp. 936-944 ◽  
Author(s):  
Robert S. Schlauch ◽  
Edward Carney
Keyword(s):  
Computer Simulation ◽  
Word Recognition ◽  
Confidence Intervals ◽  
Recognition Performance ◽  
Word List ◽  
Statistical Properties ◽  
Clinical Protocols ◽  
Recognition Ability ◽  
Clinical Strategies ◽  
Intensity Functions

Purpose Computer simulation was used to estimate the statistical properties of searches for maximum word recognition ability (PB max). These involve presenting multiple lists and discarding all scores but that of the 1 list that produced the highest score. The simulations, which model limitations inherent in the precision of word recognition scores, were done to inform clinical protocols. A secondary consideration was a derivation of 95% confidence intervals for significant changes in score from phonemic scoring of a 50-word list. Method The PB max simulations were conducted on a “client” with flat performance intensity functions. The client's performance was assumed to be 60% initially and 40% for a second assessment. Thousands of estimates were obtained to examine the precision of (a) single lists and (b) multiple lists using a PB max procedure. This method permitted summarizing the precision for assessing a 20% drop in performance. Results A single 25-word list could identify only 58.4% of the cases in which performance fell from 60% to 40%. A single 125-word list identified 99.8% of the declines correctly. Presenting 3 or 5 lists to find PB max produced an undesirable finding: an increase in the word recognition score. Conclusions A 25-word list produces unacceptably low precision for making clinical decisions. This finding holds in both single and multiple 25-word lists, as in a search for PB max. A table is provided, giving estimates of 95% critical ranges for successive presentations of a 50-word list analyzed by the number of phonemes correctly identified.

Grammaticality judgments in a second language: Influences of age of acquisition and native language

2000 ◽  
Vol 21 (3) ◽  
pp. 395-423 ◽  
Author(s):  
JANET L. MCDONALD
Keyword(s):  
Second Language ◽  
Language Learners ◽  
General Problem ◽  
Word Order ◽  
Native Language ◽  
Age Of Acquisition ◽  
Native English Speakers ◽  
English Speakers ◽  
Surface Form ◽  
Grammaticality Judgments

Native Spanish early and late acquirers of English as well as native Vietnamese early and child acquirers of English made grammaticality judgments of sentences in their second language. Native Spanish early acquirers were not distinguishable from native English speakers, whereas native Spanish late acquirers had difficulty with all aspects of the grammar tested except word order. Native Vietnamese early acquirers had difficulty with those aspects of English that differ markedly from Vietnamese. Native Vietnamese child acquirers had more generalized problems, similar to those of native Spanish late acquirers. Thus, native language appeared to make a difference for early acquirers, whereas a later age of acquisition caused a more general problem. A processing-based model focusing on the difficulty non-native language learners have in rapidly decoding surface form is offered as a possible explanation for both effects.

scholarly journals Which words do English non-native speakers know? New supernational levels based on yes/no decision

2020 ◽  
Author(s):  
Marc Brysbaert
Keyword(s):  
Word Recognition ◽  
Family Life ◽  
Large Scale ◽  
Native Speakers ◽  
Mother Tongue ◽  
Native English Speakers ◽  
English Speakers ◽  
Vocabulary Test ◽  
Word Families ◽  
The World

To have more information about the English words known by 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 thousand 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 1000 word families is presented, which will be of use to English L2 teachers, as the levels represent the order in which English vocabulary seems to be acquired by L2 learners across the world.

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