--- title: In Jaws the shark hunts people on purpose. What's closer to the truth? — Sharks · tree and pragmatics description: In Jaws the shark hunts people on purpose. What's closer to the truth? Test 2 · ★★ of lesson 28 «Sharks» 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 right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/28-sharks/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/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/questions/biology/) / [Sharks](https://md.mova.elamur.ai/free/en/corpora/questions/biology/28-sharks/) / t2 # Test 2 · ★★ · Sharks In Jaws the shark hunts people on purpose. What's closer to the truth? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** shark · **What happens:** hunt, be · **To what, where:** people, Jaws This is test 2 · ★★ of lesson 28 «Sharks» 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/28-sharks/#t2). ## The question {#question} *Sentence 1:* In Jaws the shark hunts people on purpose. ```conllu # sent_id = question:biology:28-sharks:t2:1 # text = In Jaws the shark hunts people on purpose. 1 In in ADP IN _ 2 case _ _ 2 Jaws Jaws PROPN NNP Number=Sing 5 obl _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 shark shark NOUN NN Number=Sing 5 nsubj _ _ 5 hunts hunt VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 6 people people NOUN NNS Number=Plur 5 obj _ _ 7 on on ADP IN _ 8 case _ _ 8 purpose purpose NOUN NN Number=Sing 5 obl _ SpaceAfter=No 9 . . PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hunt** | present | the shark | people | | Jaws | | on purpose | vn hunt-35.1 «NP V NP PP.location»: agent=Agent people=Theme in jaws=Location | 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's closer to the truth? ```conllu # sent_id = question:biology:28-sharks:t2:2 # text = What's closer to the truth? 1 What what PRON WP PronType=Int 3 nsubj _ SpaceAfter=No 2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 closer close ADJ JJR Degree=Cmp 0 root _ _ 4 to to ADP IN _ 6 case _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 truth truth NOUN NN Number=Sing 3 obl _ SpaceAfter=No 7 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | to the truth; close *property* | tree rules | ## The options {#options} ### Option 1 {#o1} Sharks hunt boats, not people ```conllu # sent_id = question:biology:28-sharks:t2:o1:1 # text = Sharks hunt boats, not people 1 Sharks shark NOUN NNS Number=Plur 2 nsubj _ _ 2 hunt hunt VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 boats boat NOUN NNS Number=Plur 2 obj _ SpaceAfter=No 4 , , PUNCT , _ 6 punct _ _ 5 not not PART RB Polarity=Neg 6 advmod _ _ 6 people people NOUN NNS Number=Plur 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hunt** | present | Sharks | boats | | | | people *obl* | vn hunt-35.1 «NP V NP»: agent=Agent boat=Theme | ### Option 2 {#o2} Sharks only ever eat people who can't swim well and splash about a lot ```conllu # sent_id = question:biology:28-sharks:t2:o2:1 # text = Sharks only ever eat people who can't swim well and splash about a lot 1 Sharks shark NOUN NNS Number=Plur 4 nsubj _ _ 2 only only ADV RB _ 4 advmod _ _ 3 ever ever ADV RB PronType=Ind 4 advmod _ _ 4 eat eat VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 5 people people NOUN NNS Number=Plur 4 obj _ _ 6 who who PRON WP PronType=Rel 9 nsubj _ _ 7 ca can AUX MD VerbForm=Fin 9 aux _ SpaceAfter=No 8 n't not PART RB Polarity=Neg 9 advmod _ _ 9 swim swim VERB VB VerbForm=Inf 5 acl:relcl _ _ 10 well well ADV RB Degree=Pos 9 advmod _ _ 11 and and CCONJ CC _ 12 cc _ _ 12 splash splash VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 conj _ _ 13 about about ADP IN _ 15 case _ _ 14 a a DET DT Definite=Ind|PronType=Art 15 det _ _ 15 lot lot NOUN NN Number=Sing 12 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **eat** | infinitive | Sharks | people | | | ever | | vn eat-39.1-1 «NP V NP»: agent=Agent people=Patient | | 2 | **not** **swim** | can | people | | | | | well *property* | vn run-51.3.2-1 «NP V»: agent=Theme | | 3 | **splash** | present | Sharks *not said here* | | | | | about a lot | vn sound\_emission-43.2 «NP V PP.location»: agent=Theme about lot=Location | ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} Bites are very rare and often a case of mistaken identity ```conllu # sent_id = question:biology:28-sharks:t2:o3:1 # text = Bites are very rare and often a case of mistaken identity 1 Bites bite NOUN NNS Number=Plur 4 nsubj _ _ 2 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 cop _ _ 3 very very ADV RB _ 4 advmod _ _ 4 rare rare ADJ JJ Degree=Pos 0 root _ _ 5 and and CCONJ CC _ 8 cc _ _ 6 often often ADV RB _ 8 advmod _ _ 7 a a DET DT Definite=Ind|PronType=Art 8 det _ _ 8 case case NOUN NN Number=Sing 4 conj _ _ 9 of of ADP IN _ 11 case _ _ 10 mistaken mistaken ADJ JJ Degree=Pos 11 amod _ _ 11 identity identity NOUN NN Number=Sing 8 nmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | Bites | | | | | rare *property* | tree rules | ### Option 4 {#o4} Sharks hunt people every day ```conllu # sent_id = question:biology:28-sharks:t2:o4:1 # text = Sharks hunt people every day 1 Sharks shark NOUN NNS Number=Plur 2 nsubj _ _ 2 hunt hunt VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 people people NOUN NNS Number=Plur 2 obj _ _ 4 every every DET DT PronType=Tot 5 det _ _ 5 day day NOUN NN Number=Sing 2 obl:unmarked _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hunt** | present | Sharks | people | | | day | | vn hunt-35.1 «NP V NP»: agent=Agent people=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: [Sharks, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/biology/28-sharks/t1/) - next →: [Sharks, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/biology/28-sharks/t3/) - ↑ back to [Sharks](https://md.mova.elamur.ai/free/en/corpora/questions/biology/28-sharks/)