Analysing the use of particle verbs in German as a foreign language: Unproductive particle separation and a proposal for a data-driven learning intervention

This study addresses the long-observed phenomenon of foreign language learners avoiding particle verbs from a novel perspective. Departing from the decades-old debate about the uncertain grammatical status of particle verbs, recent studies have proposed to reconceptualize particle verbs not as words or phrases but as constructions. Constructions are holistic form–meaning representations of usage regularities, which emerge from lexical patterns in language use. In accordance with this understanding, we analyse the use of particle verbs in a corpus of native and non-native German and compare lexical distributions across speaker groups, proficiency levels, and linguistic contexts. Of particular importance is the comparison of contexts of joint particle–verb conjunction (e.g. an-lächeln ‘to smile at’) with those of syntactic particle separation (e.g. lächelt an ‘smiles at’), as these contexts appear to be primarily responsible for learning difficulties and avoidance behaviors. Our findings reveal that contexts of particle separation tend to be lexically sparse and formulaic, contrasting with the more lexically diverse joint contexts. We argue that the joint construction emerges as the default for particle verb usage, ‘crowding out’ the less productive separate construction which becomes confined to specific lexical contexts in non-native language use. Building upon these findings, we use corpus material to develop data-driven learning activities that aim to prevent learners from becoming entrenched in fossilized lexical patterns and to facilitate the acquisition of productive constructions.

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Publication Details

Journal
Language Teaching Research
Published
2024-12-19
DOI
https://doi.org/10.1177/13621688241300399
Primary Topic
Natural Language Processing Techniques
Type
article
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Analysing the use of particle verbs in German as a foreign language: Unproductive particle separation and a proposal for a data-driven learning intervention

Jing Zeng, Daniel Jach
Language Teaching Research
Natural Language Processing Techniques
article

Analysing the use of particle verbs in German as a foreign language: Unproductive particle separation and a proposal for a data-driven learning intervention

Jing Zeng, Daniel Jach
article en

Abstract

This study addresses the long-observed phenomenon of foreign language learners avoiding particle verbs from a novel perspective. Departing from the decades-old debate about the uncertain grammatical status of particle verbs, recent studies have proposed to reconceptualize particle verbs not as words or phrases but as constructions. Constructions are holistic form–meaning representations of usage regularities, which emerge from lexical patterns in language use. In accordance with this understanding, we analyse the use of particle verbs in a corpus of native and non-native German and compare lexical distributions across speaker groups, proficiency levels, and linguistic contexts. Of particular importance is the comparison of contexts of joint particle–verb conjunction (e.g. an-lächeln ‘to smile at’) with those of syntactic particle separation (e.g. lächelt an ‘smiles at’), as these contexts appear to be primarily responsible for learning difficulties and avoidance behaviors. Our findings reveal that contexts of particle separation tend to be lexically sparse and formulaic, contrasting with the more lexically diverse joint contexts. We argue that the joint construction emerges as the default for particle verb usage, ‘crowding out’ the less productive separate construction which becomes confined to specific lexical contexts in non-native language use. Building upon these findings, we use corpus material to develop data-driven learning activities that aim to prevent learners from becoming entrenched in fossilized lexical patterns and to facilitate the acquisition of productive constructions.

Language Teaching Research
Kunming University of Science and Technology (CN), Southwest Jiaotong University (CN)
Quality Education
Openalex Percentile: Top 79%
Natural Language Processing Techniques
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Analysing the use of particle verbs in German as a foreign language: Unproductive particle separation and a proposal for a data-driven learning intervention — Jing Zeng, Daniel Jach · Language Teaching Research (2024) | TGRS Research Map | TGRS