--- title: A dog has been trained to find people buried in snow after an avalan… — Wolves and dogs · tree and pragmatics description: A dog has been trained to find people buried in snow after an avalanche. Which sense does it use most? Test 10 · ★ of lesson 24 «Wolves and dogs» 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 wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/24-wolves-and-dogs/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/) / [Wolves and dogs](https://md.mova.elamur.ai/free/en/corpora/questions/biology/24-wolves-and-dogs/) / t10 # Test 10 · ★ · Wolves and dogs A dog has been trained to find people buried in snow after an avalanche. Which sense does it use most? **Mova's choice:** option 2 · **The right answer:** option 1 · wrong ✗ · **Who acts:** dog, sense · **What happens:** train, find, bury, use · **To what, where:** dog, people, snow, most This is test 10 · ★ of lesson 24 «Wolves and dogs» 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/24-wolves-and-dogs/#t10). ## The question {#question} *Sentence 1:* A dog has been trained to find people buried in snow after an avalanche. ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:1 # text = A dog has been trained to find people buried in snow after an avalanche. 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 dog dog NOUN NN Number=Sing 5 nsubj:pass _ _ 3 has have AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 aux _ _ 4 been be AUX VBN Tense=Past|VerbForm=Part 5 aux:pass _ _ 5 trained train VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 6 to to PART TO _ 7 mark _ _ 7 find find VERB VB VerbForm=Inf 5 xcomp _ _ 8 people people NOUN NNS Number=Plur 7 obj _ _ 9 buried bury VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 8 acl _ _ 10 in in ADP IN _ 11 case _ _ 11 snow snow NOUN NN Number=Sing 9 obl _ _ 12 after after ADP IN _ 14 case _ _ 13 an a DET DT Definite=Ind|PronType=Art 14 det _ _ 14 avalanche avalanche NOUN NN Number=Sing 9 obl _ SpaceAfter=No 15 . . PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **train** | present · perfect · passive | | a dog | | | | | vn hire-13.5.3 «NP V NP to be NP»: subject=Theme clause=Attribute | | 2 | **find** | to-infinitive | a dog *not said here* | people | | | | | vn discover-84 «NP V NP»: agent=Agent people=Topic | | 3 | **bury** | participle | | people *not said here* | | snow | after a avalanche | | vn put-9.1-1 «NP V NP PP.destination»: agent=Agent in snow=Destination | 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:* Which sense does it use most? ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:2 # text = Which sense does it use most? 1 Which which DET WDT PronType=Int 2 det _ _ 2 sense sense NOUN NN Number=Sing 5 nsubj _ _ 3 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 aux _ _ 4 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 5 use use VERB VB VerbForm=Inf 0 root _ _ 6 most most ADJ JJS Degree=Sup 5 obj _ SpaceAfter=No 7 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **use** | present · do-support | which sense | most | | | | | vn eat-39.1 «NP V NP»: agent=Agent most=Patient | ## The options {#options} ### Option 1 · ✓ the right answer {#o1} Smell ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:o1:1 # text = Smell 1 Smell smell NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ← Mova's choice {#o2} Hearing only ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:o2:1 # text = Hearing only 1 Hearing hear VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 only only ADV RB _ 1 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hear** | gerund | | | | | | | vn see-30.1-1-1 «NP V PP.stimulus»: agent=Experiencer | ### Option 3 {#o3} Sight ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:o3:1 # text = Sight 1 Sight sight NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Taste ```conllu # sent_id = question:biology:24-wolves-and-dogs:t10:o4:1 # text = Taste 1 Taste taste NOUN NN Number=Sing 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: [Wolves and dogs, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/biology/24-wolves-and-dogs/t9/) - next →: [Wolves and dogs, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/biology/24-wolves-and-dogs/t11/) - ↑ back to [Wolves and dogs](https://md.mova.elamur.ai/free/en/corpora/questions/biology/24-wolves-and-dogs/)