--- title: Your mate goes, "my phone's trash, a new one would fix all my photos… — Photography and phone cameras · tree and pragmatics description: Your mate goes, "my phone's trash, a new one would fix all my photos." What matters more? Test 1 · ★ of lesson 20 «Photography and phone cameras» of the arts 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/arts/20-photography-and-phone-cameras/t1/) [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/) / [Arts](https://md.mova.elamur.ai/free/en/corpora/questions/arts/) / [Photography and phone cameras](https://md.mova.elamur.ai/free/en/corpora/questions/arts/20-photography-and-phone-cameras/) / t1 # Test 1 · ★ · Photography and phone cameras Your mate goes, "my phone's trash, a new one would fix all my photos." What matters more? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** mate, new one · **What happens:** go, fix, matter · **To what, where:** trash, photos This is test 1 · ★ of lesson 20 «Photography and phone cameras» of the arts 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/arts/20-photography-and-phone-cameras/#t1). ## The question {#question} *Sentence 1:* Your mate goes, "my phone's trash, a new one would fix all my photos." ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:1 # text = Your mate goes, "my phone's trash, a new one would fix all my photos." 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 mate mate NOUN NN Number=Sing 3 nsubj _ _ 3 goes go VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 4 , , PUNCT , _ 3 punct _ _ 5 " " PUNCT `` _ 9 punct _ SpaceAfter=No 6 my my PRON PRP$ Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs 7 nmod:poss _ _ 7 phone phone NOUN NN Number=Sing 9 nmod:poss _ SpaceAfter=No 8 's 's PART POS _ 7 case _ _ 9 trash trash NOUN NN Number=Sing 3 obl _ SpaceAfter=No 10 , , PUNCT , _ 15 punct _ _ 11 a a DET DT Definite=Ind|PronType=Art 13 det _ _ 12 new new ADJ JJ Degree=Pos 13 amod _ _ 13 one one NOUN NN Number=Sing 15 nsubj _ _ 14 would would AUX MD VerbForm=Fin 15 aux _ _ 15 fix fix VERB VB VerbForm=Inf 9 conj _ _ 16 all all DET PDT PronType=Tot 18 det:predet _ _ 17 my my PRON PRP$ Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs 18 nmod:poss _ _ 18 photos photo NOUN NNS Number=Plur 15 obj _ SpaceAfter=No 19 . . PUNCT . _ 3 punct _ SpaceAfter=No 20 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **go** | present | Your mate | my phone's trash | | | | | vn disappearance-48.2-1 «NP V»: agent=Theme | | 2 | **fix** *in a quote* | would | a new one | my photos | | | | | vn shake-22.3-2 «NP V NP together»: agent=Agent photo=Patient | 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 matters more? ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:2 # text = What matters more? 1 What what PRON WP PronType=Int 2 nsubj _ _ 2 matters matter VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 more more ADV RBR Degree=Cmp 2 advmod _ SpaceAfter=No 4 ? ? PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **matter** | present | | | | | | | vn matter-91 «NP V»: agent=Stimulus | ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} Knowing light and angles ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:o1:1 # text = Knowing light and angles 1 Knowing know VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 light light NOUN NN Number=Sing 1 obj _ _ 3 and and CCONJ CC _ 4 cc _ _ 4 angles angle NOUN NNS Number=Plur 2 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **know** | gerund | | light and angles | | | | | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer light=Stimulus | ### Option 2 {#o2} Taking lots of photos much faster ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:o2:1 # text = Taking lots of photos much faster 1 Taking take VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 lots lot NOUN NNS Number=Plur 1 obj _ _ 3 of of ADP IN _ 4 case _ _ 4 photos photo NOUN NNS Number=Plur 2 nmod _ _ 5 much much ADV RB _ 6 advmod _ _ 6 faster fast ADV RBR Degree=Cmp 1 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **take** | gerund | | lots of photos | | | | fast *property* | vn bring-11.3 «NP V NP»: agent=Agent lot=Theme | ### Option 3 {#o3} Using more and more filters ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:o3:1 # text = Using more and more filters 1 Using use VERB VBG VerbForm=Ger 0 root _ _ 2 more more ADJ JJR Degree=Cmp 5 amod _ _ 3 and and CCONJ CC _ 4 cc _ _ 4 more more ADJ JJR Degree=Cmp 2 conj _ _ 5 filters filter NOUN NNS Number=Plur 1 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **use** | gerund | | more filters | | | | | vn eat-39.1 «NP V NP»: agent=Agent filter=Patient | ### Option 4 {#o4} Buying the newest, priciest phone ```conllu # sent_id = question:arts:20-photography-and-phone-cameras:t1:o4:1 # text = Buying the newest, priciest phone 1 Buying buy VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 3 det _ _ 3 newest new ADJ JJS Degree=Sup 1 obj _ SpaceAfter=No 4 , , PUNCT , _ 6 punct _ _ 5 priciest pricey ADJ JJS Degree=Sup 6 amod _ _ 6 phone phone NOUN NN Number=Sing 1 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **buy** | gerund | | the newest | | | | priciest phone *obl* | vn accept-77.1 «NP V NP»: agent=Agent new=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: [Street art and graffiti: legal walls v…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/arts/19-street-art-and-graffiti-legal-walls-vs-vandalism/e4/) - next →: [Photography and phone cameras, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/arts/20-photography-and-phone-cameras/t2/) - ↑ back to [Photography and phone cameras](https://md.mova.elamur.ai/free/en/corpora/questions/arts/20-photography-and-phone-cameras/)