The effect of defining model on the accuracy of syntactic class identification in when-definitions in digital dictionaries
The aim of the present contribution is to identify the best variant of the single-clause when definition in online monolingual English dictionary entries. The study uses manipulated online dictionary entries and a balanced experimental design on a large sample of advanced learners of English to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/24630/ http://journalarticle.ukm.my/24630/1/Gema%20Online_24_3_2.pdf |
| Summary: | The aim of the present contribution is to identify the best variant of the single-clause when
definition in online monolingual English dictionary entries. The study uses manipulated online
dictionary entries and a balanced experimental design on a large sample of advanced learners of
English to assess the success of syntactic class identification in three sub-types of the single-clause
when-definition. Syntactic class identification was measured by examining the syntactic class of
the Polish translations of the target headwords supplied by participants in the experimental task.
Significant differences are found between all three defining models, with the most effective being
a model using the personal pronoun (you), the least effective being definitions using the indefinite
pronoun (someone), and a defining model using a noun phrase (a person) resulting in intermediate
scores. The article concludes with practical recommendations for digital lexicography for learners
of English that follow from our findings. |
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