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Verb Phrases

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• This is the big one, in my opinion. This is where the verb is identified for each sentence.
  There are two different sentence preform matches, one that avoids matching “for the first time” because the polymorphism of time causes problems. Inform TODO list - why is this? Either way, they’re both the same call followed by some neatening up.

https://ganelson.github.io/inform/linguistics-module/4-vp.html#SP4 has some example parses.
The first one, beth is a sailor, is straightforward.
The second one, there is a ming vase which is on the table, has 2 possible verbs (is and is on). The first one has a defective subject (there), which means we don’t get any information? from it. We instead look at the second clause and notice the is on. I’m not sure where the existential_OP_edge is set in this second one.
In the third one, there is a ming vase on the table called the table of having there are again 2 verbs (is and of) but this time we only search as far as called for some reason? Wordings up_to is inclusive.

This is in two halves, calculating the viability map and then looking for the usages.

Viability map

• For every word, we check and see if it matches the nonimperative-verb Preform. (Verb Usages)
  • If it does, then we see if the sentence up until this point in some way via negated-noncopular-verb-present . pos is the absolute word number, whereas i is the relative one. We are looking for the negated verb starting at pos. We then…skip ahead that many words, and then skip back 1 word?
• If we do find something, then we break the wording in half, except in the case of pre-verb-rc-marker

Finding usages

Preform defined here

sentence
sentence-without-occurrences
pre-verb-certainty
post-verb-certainty
rc-marker
pre-verb-rc-marker
phrase-with-calling
np-x-of-y

Preform used here

nonimperative-verb
negated-noncopular-verb-present
np-existential
np-as-object
np-as-subject