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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

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

The paper itself, not this card. BibTeX from the library's record of the work.

@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

28 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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