--- title: crossing in toronto, which way first — Eyes up: noticing your surroundings · tree and pragmatics description: crossing in toronto, which way first Test 12 of lesson 11 «Eyes up: noticing your surroundings» 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 right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/everyday/11-eyes-up/t12/) [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/) / [Eyes up: noticing your surroundings](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/11-eyes-up/) / t12 # Test 12 · Eyes up: noticing your surroundings crossing in toronto, which way first **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **What happens:** cross · **To what, where:** toronto This is test 12 of lesson 11 «Eyes up: noticing your surroundings» 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/11-eyes-up/#t12). ## The question {#question} ```conllu # sent_id = question:everyday:11-eyes-up:t12:1 # text = crossing in toronto, which way first 1 crossing cross VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 in in ADP IN _ 3 case _ _ 3 toronto toronto NOUN NN Number=Sing 1 obl _ SpaceAfter=No 4 , , PUNCT , _ 6 punct _ _ 5 which which DET WDT PronType=Int 6 det _ _ 6 way way NOUN NN Number=Sing 3 conj _ _ 7 first first ADV RB NumForm=Word|NumType=Ord 1 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **cross** | gerund | | | | toronto and which way | | first *property* | vn contiguous\_location-47.8-1 «NP V»: agent=Theme | 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. ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} Left, the nearest cars come from the left ```conllu # sent_id = question:everyday:11-eyes-up:t12:o1:1 # text = Left, the nearest cars come from the left 1 Left leave VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 advcl _ SpaceAfter=No 2 , , PUNCT , _ 6 punct _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 nearest near ADJ JJS Degree=Sup 5 amod _ _ 5 cars car NOUN NNS Number=Plur 6 nsubj _ _ 6 come come VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 from from ADP IN _ 9 case _ _ 8 the the DET DT Definite=Def|PronType=Art 9 det _ _ 9 left left NOUN NN Number=Sing 6 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **leave** | participle | the nearest cars *not said here* | | | | | | vn escape-51.1-1-1 «NP V»: agent=Theme | | 2 | **come** | present | the nearest cars | | | the left | | | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from left=Initial\_Location | ### Option 2 {#o2} Straight up the road ```conllu # sent_id = question:everyday:11-eyes-up:t12:o2:1 # text = Straight up the road 1 Straight straight ADV RB _ 4 advmod _ _ 2 up up ADP IN _ 4 case _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 road road NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Right, the nearest cars come from the right ```conllu # sent_id = question:everyday:11-eyes-up:t12:o3:1 # text = Right, the nearest cars come from the right 1 Right right INTJ UH _ 6 discourse _ SpaceAfter=No 2 , , PUNCT , _ 6 punct _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 nearest near ADJ JJS Degree=Sup 5 amod _ _ 5 cars car NOUN NNS Number=Plur 6 nsubj _ _ 6 come come VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 from from ADP IN _ 9 case _ _ 8 the the DET DT Definite=Def|PronType=Art 9 det _ _ 9 right right NOUN NN Number=Sing 6 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **come** | present | the nearest cars | | | the right | | | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from right=Initial\_Location | ### Option 4 {#o4} Only behind you ```conllu # sent_id = question:everyday:11-eyes-up:t12:o4:1 # text = Only behind you 1 Only only ADV RB _ 3 advmod _ _ 2 behind behind ADP IN _ 3 case _ _ 3 you you PRON PRP Case=Nom|Person=2|PronType=Prs 0 root _ _ ``` The frames reader finds no event or fact in this sentence. **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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