The influence of lexical factors on word recognition by native English speakers and Japanese speakers acquiring English: An interim report

2013 ◽  
Vol 134 (5) ◽  
pp. 4247-4247
Author(s):  
Kiyoko Yoneyama ◽  
Benjamin Munson
Keyword(s):  
Word Recognition ◽  
Native English Speakers ◽  
English Speakers ◽  
Interim Report ◽  
Japanese Speakers ◽  
Lexical Factors

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.

English and Japanese interlanguage comprehension strategies: An analysis based on the competition model

1991 ◽  
Vol 12 (1) ◽  
pp. 47-73 ◽  
Author(s):  
Yoshinori Sasaki
Keyword(s):  
First Language ◽  
Native English Speakers ◽  
English Word ◽  
Competition Model ◽  
Comprehension Strategies ◽  
English Speakers ◽  
Response Patterns ◽  
Native Japanese Speakers ◽  
Japanese Speakers ◽  
Japanese Word

ABSTRACTIn an experiment based on the competition model, 12 native Japanese speakers (J1 group) and 12 native English speakers studying Japanese (JFL group) were requested to report sentence subjects after listening to Japanese word strings which consisted of one verb and two nouns each. Similarly, 12 native English speakers (E1 group) and 12 native Japanese speakers studying English (EFL group) reported the sentence subjects of English word strings. In each word string, syntactic (word order) cues and lexical-semantic (animacy/inanimacy) cues converged or diverged as to the assignment of the sentence subjects. The results show that JFL-Ss (experimental subjects) closely approximated the response patterns of J1-Ss, while EFL-Ss showed evidence of transfer from their first language, Japanese. The results are consistent with the developmental precedence of a meaning-based comprehension strategy over a grammar-based one.

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.

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.

scholarly journals Antecedent Retrieval with Repeated Name Anaphors in Japanese: Topic and Subject

2017 ◽  
Vol 8 (4) ◽  
pp. 663
Author(s):  
Shinichi Shoji
Keyword(s):  
First Language ◽  
Native English Speakers ◽  
The Other ◽  
English Speakers ◽  
Native Japanese Speakers ◽  
Other Hand ◽  
Japanese Speakers ◽  
Reading Experiment

The present study tested whether repeated-name anaphors in Japanese elicit different effects in retrieving antecedents, depending on the anaphors being either a topic anaphor appended with the topic marker wa or a non-topic anaphor with the nominative marker ga. Early studies have shown that pronoun anaphors facilitate faster retrieval of their antecedents relative to repeated name anaphors, when the anaphors are grammatical subjects that refer to salient antecedents. In Japanese, however, grammatical subjects can be further classified into topic-subjects marked by wa and non-topic subjects marked by ga. Therefore, different antecedent-retrieval patterns may be possible between topic-wa and topic-ga even when they both were repeated-name anaphors. In addition, the present study investigated this issue with native English speakers who were learners of Japanese. Because their first language, English, does not overtly mark an entity as topic or non-topic, it was predicted that they might be relatively insensitive to anaphors’ topic-hood and may not show different effects between topic-wa and non-topic-ga. A self-paced reading experiment showed that native Japanese speakers retrieved antecedents faster for repeated-name topic-wa anaphors than for non-topic-ga. On the other hand, native English speakers showed only marginally faster retrieval of antecedents for topic anaphors compared with to non-topic anaphors.

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.

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