Lexical measures for testing progress in Hebrew as Arab students’ L2
| Autor: | Eihab Abu Rabiah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Linguistics and Language
Lexical density Hebrew Lexical diversity Lexicon Second-language acquisition Language and Linguistics language.human_language Education Linguistic competence Cohesion (linguistics) Social language Second language acquisition lexicon development assessing writing level of abstractness lexical diversity lexical density Psychology Competence (human resources) Sosyal Cognitive psychology |
| Zdroj: | Volume: 16, Issue: 3 1096-1114 Journal of Language and Linguistic Studies |
| ISSN: | 1305-578X |
| Popis: | Since Ure (1971) and Halliday (1985), different measures have been proposed in the research literature as a proxy for investigating lexicon advance. They are called lexical richness measures and are an important tool in assessing advance of the lexicon (Johansson, 2009). This article evaluates three lexical richness measures of progress in the acquisition of Hebrew by Arab students in Israel: level of abstractness, lexical diversity, and density lexical. My corpus consisted of fifty essays written in Hebrew by 9th and 11th graders. The quantitative analysis reveals several findings. First, abstractness increases with subjects’ age, as expected. The density test, however, did not show the expected increase in density with age. I suspect the reason for this is relatively high density in younger pupils’ essays, indicating lack of cohesion rather than high linguistic competence. The national high school language curriculum for eleventh graders focuses on connectivity, which causes a decrease in density. Third, the diversity test also did not yield statistically significant findings, probably because this test is influenced by text length, which in the ninth grade still does not enable a reliable test. Conclusions: The lexical measures can be divided into two types: basic tests, that can be applied at any level of competence; and advanced tests, which require a high level of competence. Level of abstractness is of the first type: it is effective as a measure of progress in L2 acquisition even in the initial stages of acquisition, while diversity and density require a higher competence level.  |
| Databáze: | OpenAIRE |
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