--- title: Count them: a trainer has two dogs, a pony and a parrot. How many an… — Training a dog with rewards and patience · tree and pragmatics description: Count them: a trainer has two dogs, a pony and a parrot. How many animal legs are there, not counting the trainer? Test 10 · ★ of lesson 195 «Training a dog with rewards and patience» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t10/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/questions/biology/) / [Training a dog with rewards and patience](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/) / t10 # Test 10 · ★ · Training a dog with rewards and patience Count them: a trainer has two dogs, a pony and a parrot. How many animal legs are there, not counting the trainer? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** you, trainer, many animal legs · **What happens:** count, have, be, not count · **To what, where:** them, two dogs, trainer This is test 10 · ★ of lesson 195 «Training a dog with rewards and patience» of the biology 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](https://md.mova.elamur.ai/free/en/school-run/biology/195-training-a-dog-with-rewards-and-patience/#t10). ## The question {#question} *Sentence 1:* Count them: a trainer has two dogs, a pony and a parrot. ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:1 # text = Count them: a trainer has two dogs, a pony and a parrot. 1 Count count VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 1 obj _ SpaceAfter=No 3 : : PUNCT : _ 6 punct _ _ 4 a a DET DT Definite=Ind|PronType=Art 5 det _ _ 5 trainer trainer NOUN NN Number=Sing 6 nsubj _ _ 6 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 parataxis _ _ 7 two two NUM CD NumForm=Word|NumType=Card 8 nummod _ _ 8 dogs dog NOUN NNS Number=Plur 6 obj _ SpaceAfter=No 9 , , PUNCT , _ 11 punct _ _ 10 a a DET DT Definite=Ind|PronType=Art 11 det _ _ 11 pony pony NOUN NN Number=Sing 8 appos _ _ 12 and and CCONJ CC _ 14 cc _ _ 13 a a DET DT Definite=Ind|PronType=Art 14 det _ _ 14 parrot parrot NOUN NN Number=Sing 11 conj _ SpaceAfter=No 15 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** | imperative | you *not said here* | them *= they* | | | | | vn multiply-108 «NP V NP»: agent=Agent they=Theme | | 2 | **have** | present | a trainer | two dogs | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent dog=Patient | 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:* How many animal legs are there, not counting the trainer? ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:2 # text = How many animal legs are there, not counting the trainer? 1 How how ADV WRB PronType=Int 2 advmod _ _ 2 many many ADJ JJ Degree=Pos 4 amod _ _ 3 animal animal NOUN NN Number=Sing 4 compound _ _ 4 legs leg NOUN NNS Number=Plur 6 nsubj _ _ 5 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 6 cop _ _ 6 there there ADV RB PronType=Dem 0 root _ SpaceAfter=No 7 , , PUNCT , _ 9 punct _ _ 8 not not PART RB Polarity=Neg 9 advmod _ _ 9 counting count VERB VBG Tense=Pres|VerbForm=Part 6 advcl _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 trainer trainer NOUN NN Number=Sing 9 obj _ SpaceAfter=No 12 ? ? PUNCT . _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | many animal legs | | | | | there *property* | tree rules | | 2 | **not** **count** | gerund | many animal legs *not said here* | the trainer | | | | | vn multiply-108 «NP V NP»: agent=Agent trainer=Theme | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} 16 ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:o1:1 # text = 16 1 16 16 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} 10 ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:o2:1 # text = 10 1 10 10 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} 12 ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:o3:1 # text = 12 1 12 12 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} 14 ```conllu # sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t10:o4:1 # text = 14 1 14 14 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. **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. - ← previous: [Training a dog with rewards and patience, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t9/) - next →: [Training a dog with rewards and patience, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t11/) - ↑ back to [Training a dog with rewards and patience](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/)