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 28. Voice and the passive only for particle objects; the main home is 23. Complementation and 13. Verbs. 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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