English bottom-up groupings

<preposition> + <noun> = <adverbial_phrase>
<preposition> + <sentence> = <adverbial_phrase> [R] // e.g. before it started

<pronoun> = <noun>
<determiner> + <noun> = <noun> [R]
<adjective_phrase> + <noun> = <noun> [R]
<adverb> + <verb_phrase> = <verb_phrase>
<auxiliary_verb> + <verb> = <verb_phrase>
<verb> = <verb_phrase>
<verb> + <noun> = <verb_phrase> [L]
<noun> + <verb_phrase> = <sentence>
<adverbial_phrase> + <sentence> = <sentence> [R]
<adverbial_phrase> + <verb_phrase> = <verb_phrase> [R]
<ingform> = <ingform_phrase>
<ingform_phrase> + <noun> = <ingform_phrase> [L]
<ingform_phrase> + <preposition> = <ingform_phrase>
<ingform_phrase> = <adverbial_phrase>
<ingform_phrase> = <noun>
<ingform_phrase> = <adjective_phrase>
<noun> + <adverbial_phrase> = <noun> [L, 0.9] // example?
<noun> + <noun> = <noun> [ai_plausible_nounPlusNoun]
<auxiliary_verb> + <noun> = <yes_no_question_short>
<yes_no_question_short> + <verb_phrase> = <yes_no_question_long> [L]
<yes_no_question_short> + <noun> = <yes_no_question_long> // is a horse a man
<yes_no_question_short> + <adjective_phrase> = <yes_no_question_long> [L]

<yes_no_question_long> = <yes_no_question>
<yes_no_question_short> = <yes_no_question>
<yes_no_question> = <sentence_or_question>
<sentence> = <sentence_or_question>

<yes_no_question> + <adverbial_phrase> = <yes_no_question> // (how) is your conscience then?

<verb> + <sentence> = <verb_phrase> [L, ai_plausible_verbPlusSentence] // e.g. (he) says he did it

<question_word> = <noun> [0.5]

<question_word> + <sentence> = <inverted_question>
<inverted_question> = <noun>

<adjective> = <adjective_phrase>
<adjective_phrase> + <adverbial_phrase> = <adjective_phrase> [L]
<adverb> + <adjective_phrase> = <adjective_phrase> [R] // ever owned

<adverb> = <adverbial_phrase>

<auxiliary_verb> + <verb_phrase> = <verb_phrase>
<auxiliary_verb> = <verb>

<number> = <determiner>

<verb> + <adjective> = <verb_phrase> // (that) looks cool

<connector> + <verb_phrase> = <half_verb_phrase>
<verb_phrase> + <half_verb_phrase> = <verb_phrase>

<connector> + <noun> = <half_noun>
<noun> + <half_noun> = <noun>

<connector> + <verb> = <half_verb>
<verb> + <half_verb> = <verb>

<connector> + <adjective_phrase> = <half_adjective_phrase>
<adjective_phrase> + <half_adjective_phrase> = <adjective_phrase>

<verb_phrase> + <adverbial_phrase> = <verb_phrase> [L, ai_plausible_verbPhrasePlusAdverbialPhrase_tester] // e.g. (what do you) put in coffee

<verb_phrase> + <noun> = <verb_phrase> [L] // e.g. like the page

<verb_phrase> + <preposition> = <openended_verb_phrase>
<openended_verb_phrase> = <verb_phrase>

<verb_phrase> + <adjective_phrase> = <verb_phrase>

// e.g. a dame to kill for (to kill for = <to_phrase>)
<noun> + <to_phrase> = <noun>
"to" + <verb_phrase> = <to_phrase>
<to_phrase> = <adverbial_phrase>

<question_word> + <to_phrase> = <noun> // e.g. how to...

<question_word> + <yes_no_question> = <question> [L] // e.g. What do sheep dream about?

<questioned_noun> + <yes_no_question> = <question> [L] // e.g. How many people do you need?

<questioned_adjective> + <yes_no_question> = <question> [L] // e.g. How green is  the grass?

<relative_conjunction> + <verb_phrase> = <relative_phrase> // e.g. (the thing) that I told you about

<sentence> = <relative_phrase> // e.g. (the thing) I told you about

<noun> + <relative_phrase> = <noun> [0.9]

<question_word> + "else" = <question_word>

<adverbial_phrase> + <adjective_phrase> = <adjective_phrase> [R] // e.g. (why are we) even doing this

<greeting> + <sentence_or_question> = <sentence_or_question>

<greeting> = <sentence>
<greeting> + <noun> = <greeting_phrase>
<greeting_phrase> = <sentence>

<noun> = <addressee>
<sentence> + <addressee> = <sentence> [0.8, L] // i like this, friend

<past_participle> = <adjective> [0.9] // owned
<past_participle> + <noun> = <past_participle> [L] // owned him
<past_participle> + <adverbial_phrase> = <past_participle> [L] // competed in the race

"have" + <past_participle> = <verb_phrase>
"had" + <past_participle> = <verb_phrase>

<noun> + <adjective> = <adjective_phrase> [0.8] // mass produced

<question_word> + <noun> = <questioned_noun> // how many people
<question_word> + <adjective = <questioned_adjective> // how green