So it range refers to the number of prepositions, the number of designs, the amount of FrameNet occasions, just how many Oxford English Corpus times, how many TPP days that happen to be tagged, the entire quantity of TPP hours, and also the projected full volume out of prepositions on the created piece of the British National Corpus.
After you discover a beneficial preposition, a different sort of tab was unwrapped with a subject including the latest preposition and its own editorial condition. So it loss suggests the modern group of designs on preposition. Along side most readily useful, exactly how many marked period of for every single new TPP corpora is identified, and the number of untagged TPP times. The initial screen suggests a synopsis for every single trend, providing the trend of one’s preposition used, with a layout to your standard situation, including the new string [[Governor]] preposition [[Complement]]. This will be accompanied by the main implicature for the development, generally substitution the latest preposition having its meaning. In the per trend is actually a cycle number together with number from times in each corpus which have been marked using this type of pattern number.
Clicking on any development row opens the information with the pattern, that have a pattern container called to your preposition while the trend matter. The new trend info render definitions of the complement in addition to governor, since authored by a good lexicographer, checkboxes determining might syntactic services with the fit and you can governor, and you may fields to have recording choices criteria to spot the fresh new development. A primary intent behind PDEP should be to formalize such characterizations having use in natural vocabulary processing tasks (look for less than to have methods outlining how selectors are understood and encoded). The next a couple of contours of one’s development detail supplies the semantics and you will group/semantic affairs shown by this trend. New TPP class and you may TPP family members select the fresh new characterizations created in TPP. The latest Group means the entire team assigned of the Stephen Tratz (An instant, Specific, Non-Projective, Semantically-Enriched Parser). The Family describes the general semantic family members tasked by the Vivek Srikumar (Modeling Semantic Connections Shown by the Prepositions). These two sphere have been 1st completed simply for prepositions found in the latest SemEval 2007 activity for the preposition disambiguation, as they are now being extended to cover every prepositions.
The rest rows offer next information for the paradigmatic and you will syntagmatic qualities of the development. The list of Substitutable Prepositions relates to prepositions with similar senses the main one for it pattern. (Corpus instances of equivalent prepositons might provide tips for further research.) Brand new Syntactic Status describes in which inside a term the brand new preposition inside it trend can happen, with the kinds designed in Quirk mais aussi al. The feeling Loved ones identifies if or not so it development is generally noticed a great center sense otherwise a great subsense off a core feel, in which case the sort of relation is specified. In the long run, the primary Implicature try frequent and people comments regarding the development need are specified.
Preposition Corpus Period
On menu taverns on pattern director and for the trend detail, you can find drop-off boxes labeled All the Corpus Times and you can Corpus Days. Seeking an option in a choice of of them packages usually takes your into corpus hours in the preposition, possibly to your complete lay or even for those who have been especially tagged to possess a particular trend. The choices throughout the development movie director relate to the full set from days regarding the corpus toward preposition, regardless of the trend or experience tag. Your options about trend outline is actually to own corpus times one was indeed marked into particular pattern or sense. One option is for everybody models on TPP corpus you to definitely have not but really come marked (defined as “TPPUNK”). An alternative choice is actually for all occasions about TPP corpus one had been tagged to the feel ‘x’, which identifies period that are not good towards the preposition, constantly reflecting times that have been mistagged from the trawl within the developing the brand new TPP corpus. Another option is actually for all sensory faculties from the TPP corpus you to definitely was in fact tagged on the experience ‘pv’, where in fact the such is actually good (transitive) phrasal verb using brand new preposition setting, but is very area of the verb tool. These types of second instances promote a foundation to own reading marking and you will parsing problems towards preposition.