Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use
Bibliographic Data
| ID | 21360202 |
|---|---|
| Authors | Kristopher Kyle (0000-0001-5415-9672, Department of Linguistics University of Oregon Eugene Oregon USA, corresponding author), Masaki Eguchi (0000-0002-0791-4935, Department of Linguistics University of Oregon Eugene Oregon USA) |
| Year | 2023 |
| Volume | 107 |
| Issue | 2 |
| Pages | 531-564 |
| Publication date | 2023-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Modern Language Journal (JOURNAL) |
| Journal identifiers | ISSN: 0026-7902 • E-ISSN: 1540-4781 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/modl.12845 |
| OpenAlex | W4380048983 |
| Language | EN |
| Citations received | 7 |
| References cited | 59 |
The measurement of second language (L2) productive lexical proficiency has driven a great deal of research over the past two decades. Research has indicated that more proficient speakers and writers tend to use a wider range of words and that more proficient writers tend to use words that are more sophisticated (less frequent in reference corpora). Research over the past 15 years has also demonstrated that the way words are used in context (i.e., collocation use) is also an important indicator of both written and spoken proficiency. In this study, we extend recent research that has modeled writing proficiency using collocation indices based on grammatical dependencies (e.g., verb–direct object) to spoken contexts. In particular, we model speaking proficiency scores from a large corpus of oral proficiency interview responses using a range of well‐known indices of productive proficiency and newly developed grammatical dependency indices. The results indicated that all index types demonstrated small to moderate correlations with speaking proficiency individually but explained a large proportion of the variance when used in a multivariate model that included dependency collocation indices
Bigram · Collocation (remote sensing) · Context (archaeology) · Dependency (UML) · Language proficiency · Linguistics · Natural language processing · Verb · Artificial Intelligence · Computer Science · History · Natural Language Processing Techniques · Psychology · Second Language Acquisition and Learning · Text Readability and Simplification
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Vocd
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Predicting lexical proficiency in language learner texts using computational indices
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N-gram measures and L2 writing proficiency
Comparing count-based and band-based indices of word frequency
The phraseological dimension in interlanguage complexity research
Rethinking the Word Frequency Effect
Measuring L2 Lexical Growth Using Hypernymic Relationships
| Unique citing works | 7 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |