--- title: A news line: "Badgers to be culled in three counties to stop cattle… — Soft words for hard things: animals an… · tree and pragmatics description: A news line: "Badgers to be culled in three counties to stop cattle disease." What will happen to the badgers? Test 2 · ★ of lesson 18 «Soft words for hard things: animals and pets and money and poverty» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of th --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/t2/) [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/) / [Euphemisms](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/) / [Soft words for hard things: animals an…](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/) / t2 # Test 2 · ★ · Soft words for hard things: animals and pets and money and… A news line: "Badgers to be culled in three counties to stop cattle disease." What will happen to the badgers? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **What happens:** cull, stop, happen · **To what, where:** three counties, cattle disease This is test 2 · ★ of lesson 18 «Soft words for hard things: animals and pets and money and poverty» of the euphemisms 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/euphemisms/18-pets-and-money/#t2). ## The question {#question} *Sentence 1:* A news line: "Badgers to be culled in three counties to stop cattle disease." ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:1 # text = A news line: "Badgers to be culled in three counties to stop cattle disease." 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 news news NOUN NN Number=Sing 3 compound _ _ 3 line line NOUN NN Number=Sing 0 root _ SpaceAfter=No 4 : : PUNCT : _ 6 punct _ _ 5 " " PUNCT `` _ 6 punct _ SpaceAfter=No 6 Badgers badger NOUN NNS Number=Plur 3 nmod _ _ 7 to to PART TO _ 9 mark _ _ 8 be be AUX VB VerbForm=Inf 9 aux:pass _ _ 9 culled cull VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 acl _ _ 10 in in ADP IN _ 12 case _ _ 11 three three NUM CD NumForm=Word|NumType=Card 12 nummod _ _ 12 counties county NOUN NNS Number=Plur 9 obl _ _ 13 to to PART TO _ 14 mark _ _ 14 stop stop VERB VB VerbForm=Inf 9 advcl _ _ 15 cattle cattle NOUN NNS Number=Plur 16 compound _ _ 16 disease disease NOUN NN Number=Sing 14 obj _ SpaceAfter=No 17 . . PUNCT . _ 3 punct _ SpaceAfter=No 18 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **cull** *in a quote* | to-infinitive · passive | | | | three counties | | | vn cheat-10.6.1-1-1 «NP V NP» | | 2 | **stop** *in a quote* | to-infinitive | | cattle disease | | | | | vn stop-55.4-1-1 «NP V NP.eventuality»: agent=Subeventuality disease=Eventuality | 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:* What will happen to the badgers? ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:2 # text = What will happen to the badgers? 1 What what PRON WP PronType=Int 3 nsubj _ _ 2 will will AUX MD VerbForm=Fin 3 aux _ _ 3 happen happen VERB VB VerbForm=Inf 0 root _ _ 4 to to ADP IN _ 6 case _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 badgers badger NOUN NNS Number=Plur 3 obl _ SpaceAfter=No 7 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **happen** | future | | | | | | to the badgers | vn occur-48.3-1 «NP V»: agent=Theme | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} They will be moved to zoos ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:o1:1 # text = They will be moved to zoos 1 They they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 4 nsubj:pass _ _ 2 will will AUX MD VerbForm=Fin 4 aux _ _ 3 be be AUX VB VerbForm=Inf 4 aux:pass _ _ 4 moved move VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 5 to to ADP IN _ 6 case _ _ 6 zoos zoo NOUN NNS Number=Plur 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **move** | future · passive | | They | | zoos | | | vn roll-51.3.1 «NP V NP PP.trajectory»: subject=Theme to zoo=Trajectory | ### Option 2 · ✓ the right answer {#o2} Many will be killed ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:o2:1 # text = Many will be killed 1 Many many ADJ JJ Degree=Pos 4 nsubj:pass _ _ 2 will will AUX MD VerbForm=Fin 4 aux _ _ 3 be be AUX VB VerbForm=Inf 4 aux:pass _ _ 4 killed kill VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **kill** | future · passive | | Many | | | | | vn remove-10.1 «NP V NP»: subject=Theme | ### Option 3 {#o3} They will get medicine ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:o3:1 # text = They will get medicine 1 They they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 3 nsubj _ _ 2 will will AUX MD VerbForm=Fin 3 aux _ _ 3 get get VERB VB VerbForm=Inf 0 root _ _ 4 medicine medicine NOUN NN Number=Sing 3 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **get** | future | They | medicine | | | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer medicine=Stimulus | ### Option 4 {#o4} They will be counted ```conllu # sent_id = question:euphemisms:18-pets-and-money:t2:o4:1 # text = They will be counted 1 They they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 4 nsubj _ _ 2 will will AUX MD VerbForm=Fin 4 aux _ _ 3 be be AUX VB VerbForm=Inf 4 aux:pass _ _ 4 counted count VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** | future · passive | | They | | | | | vn multiply-108 «NP V NP»: subject=Theme | **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: [Soft words for hard things: animals an…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/t1/) - next →: [Soft words for hard things: animals an…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/t3/) - ↑ back to [Soft words for hard things: animals and pets and money and poverty](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/)