Word association patterns in a second/foreign language – what do they tell us about the L2 mental lexicon?

Krzemińska-Adamek, Małgorzata

doi:10.17951/lsmll.2014.38.1.141

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Bilingual word associations have been studied for decades (see an overview in Meara, 2009). Despite a number of important findings, which we summarize in the following section, high-level conclusions about the association norms in bilinguals' non-native language are unclear -not only because of high variability in bilingual populations (DeKeyser, 2013), but also due to methodological factors (as explained by Boulton, 2003;Krzemińska-Adamek, 2014). Of specific concern for us is the lack of robust statistical analyses of the results.…”

Section: Introductionmentioning

confidence: 98%

Modeling bilingual word associations as connected monolingual networks

Matusevych¹,

Dehaghi²,

Stevenson³

2018

Proceedings of the 8th Workshop on Cognitive Modeling And Computational Linguistics (CMCL 2018)

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Word associations are a common tool in research on the mental lexicon. Studies report that bilinguals produce different word associations in their non-native language than monolinguals, and propose at least three mechanisms responsible for this difference: bilinguals may rely on their native associations (through translation), on collocational patterns, and on the phonological similarity between words. In this paper, we first test the differences between monolingual and bilingual responses, showing that these differences are consistent and significant. Second, we present a computational model of bilingual word associations, implemented as a semantic network paired with a retrieval mechanism. Our model predicts bilingual word associations better than monolingual baselines, and translation is the main mechanism explaining its success, while collocational and phonological associations do not improve the model.

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Section: Introductionmentioning

confidence: 98%

Modeling bilingual word associations as connected monolingual networks

Matusevych¹,

Dehaghi²,

Stevenson³

2018

Proceedings of the 8th Workshop on Cognitive Modeling And Computational Linguistics (CMCL 2018)

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The Effect of Language Exposure and Word Characteristics on the Arab EFL Learners’ Word Associations

El‐Dakhs

2017

J Psycholinguist Res

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The present study investigates the patterns of word associations among Arab EFL learners and compares these patterns with those of native speakers of English. The study also examines the influence of increased language exposure and word characteristics on the learners' association patterns. To this end, 45 native speakers of English and 421 Arab learners of English at a Saudi university with two distinct levels of English language exposure completed a multiple-response word association test and their responses were analyzed, examined and compared. The results revealed strong influence for language exposure and word characteristics on the learners' associations and support a developmental approach to the second language lexicon where an increase in language exposure and word knowledge enhances mental word connectivity and increases its native-like similarity.

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The Role of Language Proficiency in Word Association Behavior among Jordanian EFL Learners

2020

JLLL

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Word association patterns in a second/foreign language – what do they tell us about the L2 mental lexicon?

Abstract: Word association patterns in a second/foreign language-what do they tell us about the L2 mental lexicon?

Cited by 3 publications

References 25 publications

Modeling bilingual word associations as connected monolingual networks

Modeling bilingual word associations as connected monolingual networks

The Effect of Language Exposure and Word Characteristics on the Arab EFL Learners’ Word Associations

The Role of Language Proficiency in Word Association Behavior among Jordanian EFL Learners

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