Test 10 · ★ · Weather and seasons Hannah says, "A dog's weather? That's mental." ("Mental" means crazy.) Which English saying is closest?
Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: Hannah, dog, That, Mental · What happens: say, weather, be, mean · Speech: someone speaks here
This is test 10 · ★ of lesson 13 «Weather and seasons» of the French course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school .
The question Sentence 1: Hannah says, "A dog's weather?
nsubj punct punct det nmod:poss case ccomp punct root Hannah PROPN says VERB , PUNCT " PUNCT A DET dog NOUN 's PART weather NOUN ? PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Hannah Hannah PROPN Number=Sing 2 says nsubj 2 says say VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 3 , , PUNCT _ 8 weather punct 4 " " PUNCT _ 8 weather punct 5 A a DET Definite=Ind PronType=Art 6 dog det 6 dog dog NOUN Number=Sing 8 weather nmod:poss 7 's 's PART _ 6 dog case 8 weather weather NOUN Number=Sing 2 says ccomp 9 ? ? PUNCT _ 2 says punct
# verb tense, mood who what, whom to whom where when other roles by
1 say speech: assert present Hannah vn say-37.7-1-1 «NP V that S»: agent=Agent 2 weather in a quote a dog nom weather «phenomenon transitive»: poss=agent
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.
Sentence 2: That's mental."
nsubj cop punct punct root That PRON 's AUX mental ADJ . PUNCT " PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 That that PRON Number=Sing PronType=Dem 3 mental nsubj 2 's be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 mental cop 3 mental mental ADJ Degree=Pos root root 4 . . PUNCT _ 3 mental punct 5 " " PUNCT _ 3 mental punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present That mental property tree rules
Sentence 3: ("Mental" means crazy.)
punct punct nsubj punct xcomp punct punct root ( PUNCT " PUNCT Mental ADJ " PUNCT means VERB crazy ADJ . PUNCT ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 5 means punct 2 " " PUNCT _ 3 Mental punct 3 Mental mental ADJ Degree=Pos 5 means nsubj 4 " " PUNCT _ 3 Mental punct 5 means mean VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 6 crazy crazy ADJ Degree=Pos 5 means xcomp 7 . . PUNCT _ 5 means punct 8 ) ) PUNCT _ 5 means punct
# verb tense, mood who what, whom to whom where when other roles by
1 mean present Mental crazy property vn intend-61.2-1 «NP V S»: agent=Agent
Sentence 4: Which English saying is closest?
nsubj amod nsubj cop punct root Which PRON English ADJ saying NOUN is AUX closest ADJ ? PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Which which PRON PronType=Rel 5 closest nsubj 2 English English ADJ Degree=Pos 3 saying amod 3 saying saying NOUN Number=Sing 5 closest nsubj 4 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 closest cop 5 closest close ADJ Degree=Sup root root 6 ? ? PUNCT _ 5 closest punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present close property tree rules
The options Option 1 · ← Mova's choice it's a dog's life
nsubj cop det nmod:poss case root it PRON 's AUX a DET dog NOUN 's PART life NOUN The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 it it PRON Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs 6 life nsubj 2 's be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 6 life cop 3 a a DET Definite=Ind PronType=Art 4 dog det 4 dog dog NOUN Number=Sing 6 life nmod:poss 5 's 's PART _ 4 dog case 6 life life NOUN Number=Sing root root
# verb tense, mood who what, whom to whom where when other roles by
1 is a present it a dog's life tree rules
Option 2 let sleeping dogs lie
amod nsubj parataxis root let VERB sleeping VERB dogs NOUN lie VERB The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 let let VERB Mood=Imp VerbForm=Fin root root 2 sleeping sleep VERB Tense=Pres VerbForm=Part 3 dogs amod 3 dogs dog NOUN Number=Plur 4 lie nsubj 4 lie lie VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 1 let parataxis
# verb tense, mood who what, whom to whom where when other roles by
1 let imperative you not said here vn give-13.1-1 «NP V PP.recipient»: agent=Agent 2 sleep gerund vn snooze-40.4-1 «NP V»: agent=Agent 3 lie present sleeping dogs vn assuming_position-50 «NP V»: agent=Agent
Option 3 every dog has its day
det nsubj nmod:poss obj root every DET dog NOUN has VERB its PRON day NOUN The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 every every DET PronType=Tot 2 dog det 2 dog dog NOUN Number=Sing 3 has nsubj 3 has have VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 its its PRON Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs 5 day nmod:poss 5 day day NOUN Number=Sing 3 has obj
# verb tense, mood who what, whom to whom where when other roles by
1 have present every dog day vn birth-28.2-1 «NP V NP»: agent=Agent
Option 4 · ✓ the right answer raining cats and dogs
obj cc conj root raining VERB cats NOUN and CCONJ dogs NOUN The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 raining rain VERB Tense=Pres VerbForm=Part root root 2 cats cat NOUN Number=Plur 1 raining obj 3 and and CCONJ _ 4 dogs cc 4 dogs dog NOUN Number=Plur 2 cats conj
# verb tense, mood who what, whom to whom where when other roles by
1 rain gerund cats and dogs tree rules
Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.
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