--- title: Jayden: "Megacities? Like, mega-huge, skibidi huge?" What's the real… — Cities then and now: the biggest citie… · tree and pragmatics description: Jayden: "Megacities? Like, mega-huge, skibidi huge?" What's the real meaning? Test 3 of lesson 74 «Cities then and now: the biggest cities of every age and of today» of the history course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's cho --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/history/74-the-biggest-cities-of-every-age-and-of-today/t3/) [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/) / [History](https://md.mova.elamur.ai/free/en/corpora/questions/history/) / [Cities then and now: the biggest citie…](https://md.mova.elamur.ai/free/en/corpora/questions/history/74-the-biggest-cities-of-every-age-and-of-today/) / t3 # Test 3 · Cities then and now: the biggest cities of every age and o… Jayden: "Megacities? Like, mega-huge, skibidi huge?" What's the real meaning? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** real meaning · **What happens:** be This is test 3 of lesson 74 «Cities then and now: the biggest cities of every age and of today» of the history 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/history/74-the-biggest-cities-of-every-age-and-of-today/#t3). ## The question {#question} *Sentence 1:* Jayden: "Megacities? ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:1 # text = Jayden: "Megacities? 1 Jayden Jayden PROPN NNP Number=Sing 4 nsubj _ SpaceAfter=No 2 : : PUNCT : _ 4 punct _ _ 3 " " PUNCT `` _ 4 punct _ SpaceAfter=No 4 Megacities megacity NOUN NNS Number=Plur 0 root _ SpaceAfter=No 5 ? ? PUNCT . _ 4 punct _ _ ``` The frames reader finds no event or fact in this sentence. *Sentence 2:* Like, mega-huge, skibidi huge?" ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:2 # text = Like, mega-huge, skibidi huge?" 1 Like like INTJ UH _ 3 discourse _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 mega megapixel X AFX _ 0 root _ SpaceAfter=No 4 - - PUNCT HYPH _ 3 punct _ SpaceAfter=No 5 huge huge ADJ JJ Degree=Pos 3 xcomp _ SpaceAfter=No 6 , , PUNCT , _ 3 punct _ _ 7 skibidi skibidi X JJ _ 3 goeswith _ _ 8 huge huge ADJ JJ Degree=Pos 3 xcomp _ SpaceAfter=No 9 ? ? PUNCT . _ 3 punct _ SpaceAfter=No 10 " " PUNCT '' _ 3 punct _ _ ``` The frames reader finds no event or fact in this sentence. *Sentence 3:* What's the real meaning? ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:3 # text = What's the real meaning? 1 What what PRON WP PronType=Int 0 root _ SpaceAfter=No 2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 real real ADJ JJ Degree=Pos 5 amod _ _ 5 meaning meaning NOUN NN Number=Sing 1 nsubj _ SpaceAfter=No 6 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | the real meaning | | | | | | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} Cities with more than 100 people ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:o1:1 # text = Cities with more than 100 people 1 Cities city NOUN NNS Number=Plur 0 root _ _ 2 with with ADP IN _ 6 case _ _ 3 more more ADJ JJR Degree=Cmp|ExtPos=ADV 5 advmod _ _ 4 than than ADP IN _ 3 fixed _ _ 5 100 100 NUM CD NumForm=Digit|NumType=Card 6 nummod _ _ 6 people people NOUN NNS Number=Plur 1 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Cities made of one single giant building ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:o2:1 # text = Cities made of one single giant building 1 Cities city NOUN NNS Number=Plur 0 root _ _ 2 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 1 acl _ _ 3 of of ADP IN _ 7 case _ _ 4 one one NUM CD NumForm=Word|NumType=Card 7 nummod _ _ 5 single single ADJ JJ Degree=Pos 7 amod _ _ 6 giant giant ADJ JJ Degree=Pos 7 amod _ _ 7 building building NOUN NN Number=Sing 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | participle | | Cities *not said here* | | | | of one single giant building | vn build-26.1-1 «NP.asset V NP»: agent=Asset | ### Option 3 · ✓ the right answer {#o3} Cities of more than 10 million people ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:o3:1 # text = Cities of more than 10 million people 1 Cities city NOUN NNS Number=Plur 0 root _ _ 2 of of ADP IN _ 7 case _ _ 3 more more ADJ JJR Degree=Cmp|ExtPos=ADV 6 advmod _ _ 4 than than ADP IN _ 3 fixed _ _ 5 10 10 NUM CD NumForm=Digit|NumType=Card 6 compound _ _ 6 million million NUM CD NumForm=Word|NumType=Card 7 nummod _ _ 7 people people NOUN NNS Number=Plur 1 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Cities guarded by giant robots ```conllu # sent_id = question:history:74-the-biggest-cities-of-every-age-and-of-today:t3:o4:1 # text = Cities guarded by giant robots 1 Cities city NOUN NNS Number=Plur 0 root _ _ 2 guarded guard VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 1 acl _ _ 3 by by ADP IN _ 5 case _ _ 4 giant giant ADJ JJ Degree=Pos 5 amod _ _ 5 robots robot NOUN NNS Number=Plur 2 obl:agent _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **guard** | participle | | Cities *not said here* | | | | | vn defend-72.3 «NP V S\_ING»: 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. 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