Differentiating Types of Verb Particle Constructions
What it is about
The paper takes a verb-particle construction (VPC) scheme from linguistic sources and asks whether it separates the meanings of phrasal verbs in context. The scheme has three classes: decomposable (about 44% of the data), non-decomposable (about 36%) and independent (about 19%). The data is a British National Corpus subset of about 6,000 sentences from roughly 70 verb-particle pairs, plus 400 sentences that a first classifier got wrong and that the authors tagged by hand. Features come from the sentence: the particle, the verb-particle distance, the tags of the surrounding noun phrases, and the verb's syllable count. The majority-class baseline is F 0.613 on the combined set, and the feature experiments are compared against it step by step. The paper also reports particle-tag F scores of 0.969, 0.990 and 0.833 for the three CLAWS adverb and preposition tags.
Ideas
- I1. Particle sense as a rule in
en/src/expert.rs: separate adverbial from prepositional particles by the distance to the object and by the noun-phrase head tags. Measure: label accuracy on EWT test verb-particle cases, against the currenten/src/ptag.rstags, with two identical runs. - I2. Use verb-particle distance as a feature in
en/src/parse.rswhen it decides betweencompound:prtandcasefor a particle. Measure: LAS on EWT test sentences with a particle, with and without the feature. - I3. Test the syllable and Germanic-origin idea only as a probe: count how often a monosyllabic verb predicts the non-decomposable class in the BNC subset. Measure before anything enters the grammar. The data are NC, so the probe is test only.
For Mova
The chapter is languages/en/28-voice-and-passive.md only for particle objects; the main home is languages/en/23-complementation.md and languages/en/13-verbs.md. The code is en/src/expert.rs and en/src/parse.rs. The BNC subset is NC, so use it for tests only; numbers must come from EWT test.
Cite
@inproceedings{patrick2004differentiating,
title = {{Differentiating Types of Verb Particle Constructions}},
author = {Patrick, Jon and Fletcher, Jeremy},
booktitle = {Proceedings of the Australasian Language Technology Workshop 2004},
year = {2004},
url = {https://aclanthology.org/U04-1022/}
}References
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