--- title: teacher asks: «Who saw what happened behind the mobile?» You did. Be… — Bystanders: the crowd, the phone and t… · tree and pragmatics description: teacher asks: «Who saw what happened behind the mobile?» You did. Best? Test 11 · ★★ of lesson 393 «Bystanders: the crowd, the phone and the ones who help» of the everyday course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was w --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/everyday/393-bystanders/t11/) [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/) / [Everyday](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/) / [Bystanders: the crowd, the phone and t…](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/393-bystanders/) / t11 # Test 11 · ★★ · Bystanders: the crowd, the phone and the ones who help teacher asks: «Who saw what happened behind the mobile?» You did. Best? **Mova's choice:** option 4 · **The right answer:** option 2 · wrong ✗ · **Who acts:** teacher, You · **What happens:** ask, see, happen, do · **To what, where:** mobile · **Speech:** someone speaks here This is test 11 · ★★ of lesson 393 «Bystanders: the crowd, the phone and the ones who help» of the everyday 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/everyday/393-bystanders/#t11). ## The question {#question} *Sentence 1:* teacher asks: «Who saw what happened behind the mobile?» ```conllu # sent_id = question:everyday:393-bystanders:t11:1 # text = teacher asks: «Who saw what happened behind the mobile?» 1 teacher teacher NOUN NN Number=Sing 2 nsubj _ _ 2 asks ask VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 3 : : PUNCT : _ 6 punct _ _ 4 « « PUNCT `` _ 6 punct _ SpaceAfter=No 5 Who who PRON WP PronType=Rel 6 nsubj _ _ 6 saw see VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 2 ccomp _ _ 7 what what PRON WP PronType=Int 8 nsubj _ _ 8 happened happen VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 6 ccomp _ _ 9 behind behind ADP IN _ 11 case _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 mobile mobile ADJ JJ Degree=Pos 8 obl _ SpaceAfter=No 12 ? ? PUNCT . _ 2 punct _ SpaceAfter=No 13 » » PUNCT '' _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ask** *speech: ask* | present | teacher | | | | | | vn inquire-37.1.2 «NP V how S»: agent=Agent clause=Topic | | 2 | **see** *in a quote* | past | | | | | | | vn comprehend-87.2-1-1 «NP V how S\_INF»: agent=Experiencer clause=Stimulus | | 3 | **happen** *in a quote* | past | | | | the mobile | | | vn occur-48.3-1 «NP V PP»: agent=Theme behind mobile=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:* You did. ```conllu # sent_id = question:everyday:393-bystanders:t11:2 # text = You did. 1 You you PRON PRP Case=Nom|Person=2|PronType=Prs 2 nsubj _ _ 2 did do VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 0 root _ SpaceAfter=No 3 . . PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **do** | past | You | | | | | | vn act-114-1 «NP V»: agent=Agent | *Sentence 3:* Best? ```conllu # sent_id = question:everyday:393-bystanders:t11:3 # text = Best? 1 Best good ADJ JJS Degree=Sup 0 root _ SpaceAfter=No 2 ? ? PUNCT . _ 1 punct _ _ ``` The frames reader finds no event or fact in this sentence. ## The options {#options} ### Option 1 {#o1} Make it sound worse ```conllu # sent_id = question:everyday:393-bystanders:t11:o1:1 # text = Make it sound worse 1 Make make VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 1 obj _ _ 3 sound sound VERB VB VerbForm=Inf 1 xcomp _ _ 4 worse bad ADJ JJR Degree=Cmp 3 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | imperative | you *not said here* | it | | | | | tree rules | | 2 | **sound** | infinitive | | | | | | bad *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus | ### Option 2 · ✓ the right answer {#o2} Say what you saw, nothing more ```conllu # sent_id = question:everyday:393-bystanders:t11:o2:1 # text = Say what you saw, nothing more 1 Say say VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 what what PRON WP PronType=Int 1 obj _ _ 3 you you PRON PRP Case=Nom|Person=2|PronType=Prs 4 nsubj _ _ 4 saw see VERB VBD Mood=Ind|Number=Sing|Person=2|Tense=Past|VerbForm=Fin 2 acl:relcl _ SpaceAfter=No 5 , , PUNCT , _ 6 punct _ _ 6 nothing nothing PRON NN Number=Sing|PronType=Neg 1 parataxis _ _ 7 more more ADV RBR Degree=Cmp 1 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | imperative | you *not said here* | | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | | 2 | **see** | past | you | | | | | | vn comprehend-87.2-1-1 «NP V»: agent=Experiencer | ### Option 3 {#o3} Blame the Station Road boy for all of it ```conllu # sent_id = question:everyday:393-bystanders:t11:o3:1 # text = Blame the Station Road boy for all of it 1 Blame blame VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 5 det _ _ 3 Station Station PROPN NNP Number=Sing 4 compound _ _ 4 Road Road PROPN NNP Number=Sing 5 compound _ _ 5 boy boy NOUN NN Number=Sing 1 obj _ _ 6 for for ADP IN _ 7 case _ _ 7 all all DET DT PronType=Tot 1 obl _ _ 8 of of ADP IN _ 9 case _ _ 9 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 7 nmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **blame** | imperative | you *not said here* | the Road boy | | | | for all | vn judgment-33.1 «NP V NP PP.attribute»: agent=Agent boy=Theme for all=Attribute | ### Option 4 · ← Mova's choice {#o4} Say nothing, it's snitching ```conllu # sent_id = question:everyday:393-bystanders:t11:o4:1 # text = Say nothing, it's snitching 1 Say say VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 nothing nothing PRON NN Number=Sing|PronType=Neg 1 obj _ SpaceAfter=No 3 , , PUNCT , _ 6 punct _ _ 4 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 6 nsubj _ SpaceAfter=No 5 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 aux _ _ 6 snitching snitch VERB VBG Tense=Pres|VerbForm=Part 1 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | imperative | you *not said here* | nothing | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent nothing=Topic | | 2 | **snitch** *speech: other* | present · progressive | it | | | | | | vn transfer\_mesg-37.1.1 «NP V»: agent=Agent | **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: [Bystanders: the crowd, the phone and t…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/393-bystanders/t10/) - next →: [Bystanders: the crowd, the phone and t…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/393-bystanders/e1/) - ↑ back to [Bystanders: the crowd, the phone and the ones who help](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/393-bystanders/)