--- title: Count them: a camera trap shows 3 wolves. How many legs? — Ukraine's forests: bison, elk, lynx, w… · tree and pragmatics description: Count them: a camera trap shows 3 wolves. How many legs? Test 3 · ★ of lesson 372 «Ukraine's forests: bison, elk, lynx, wolves and Carpathian brown bears» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wro --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/t3/) [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/) / [Ukraine's forests: bison, elk, lynx, w…](https://md.mova.elamur.ai/free/en/corpora/questions/biology/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/) / t3 # Test 3 · ★ · Ukraine's forests: bison, elk, lynx, wolves and Carpathian… Count them: a camera trap shows 3 wolves. How many legs? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** you, camera trap · **What happens:** count, show · **To what, where:** them, 3 wolves This is test 3 · ★ of lesson 372 «Ukraine's forests: bison, elk, lynx, wolves and Carpathian brown bears» 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/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/#t3). ## The question {#question} *Sentence 1:* Count them: a camera trap shows 3 wolves. ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:1 # text = Count them: a camera trap shows 3 wolves. 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 : _ 7 punct _ _ 4 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 5 camera camera NOUN NN Number=Sing 6 compound _ _ 6 trap trap NOUN NN Number=Sing 7 nsubj _ _ 7 shows show VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 parataxis _ _ 8 3 3 NUM CD NumForm=Digit|NumType=Card 9 nummod _ _ 9 wolves wolf NOUN NNS Number=Plur 7 obj _ SpaceAfter=No 10 . . 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 | **show** | present | a camera trap | 3 wolves | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent wolf=Recipient | 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 legs? ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:2 # text = How many legs? 1 How how ADV WRB PronType=Int 2 advmod _ _ 2 many many ADJ JJ Degree=Pos 3 amod _ _ 3 legs leg NOUN NNS Number=Plur 0 root _ SpaceAfter=No 4 ? ? PUNCT . _ 3 punct _ _ ``` The frames reader finds no event or fact in this sentence. ## The options {#options} ### Option 1 · ← Mova's choice {#o1} 6 ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:o1:1 # text = 6 1 6 6 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ✓ the right answer {#o2} 12 ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:o2:1 # 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 3 {#o3} 16 ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:o3:1 # 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 4 {#o4} 9 ```conllu # sent_id = question:biology:372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears:t3:o4:1 # text = 9 1 9 9 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: [Ukraine's forests: bison, elk, lynx, w…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/biology/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/t2/) - next →: [Ukraine's forests: bison, elk, lynx, w…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/biology/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/t4/) - ↑ back to [Ukraine's forests: bison, elk, lynx, wolves and Carpathian brown bears](https://md.mova.elamur.ai/free/en/corpora/questions/biology/372-ukraine-s-forests-bison-elk-lynx-wolves-and-carpathian-brown-bears/)