--- title: Hockey fans in Toronto shout Canada. What were they actually shoutin… — Explorers: Magellan around the world,… · tree and pragmatics description: Hockey fans in Toronto shout Canada. What were they actually shouting, long ago? Test 9 · ★★ of lesson 27 «Explorers: Magellan around the world, and the people already there» of the history course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; M --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/history/27-explorers-magellan-around-the-world-and-the-people-already-there/t9/) [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/) / [Explorers: Magellan around the world,…](https://md.mova.elamur.ai/free/en/corpora/questions/history/27-explorers-magellan-around-the-world-and-the-people-already-there/) / t9 # Test 9 · ★★ · Explorers: Magellan around the world, and the people alrea… Hockey fans in Toronto shout Canada. What were they actually shouting, long ago? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Hockey fans, fans · **What happens:** shout · **To what, where:** Canada This is test 9 · ★★ of lesson 27 «Explorers: Magellan around the world, and the people already there» 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/27-explorers-magellan-around-the-world-and-the-people-already-there/#t9). ## The question {#question} *Sentence 1:* Hockey fans in Toronto shout Canada. ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:1 # text = Hockey fans in Toronto shout Canada. 1 Hockey hockey NOUN NN Number=Sing 2 compound _ _ 2 fans fan NOUN NNS Number=Plur 5 nsubj _ _ 3 in in ADP IN _ 4 case _ _ 4 Toronto Toronto PROPN NNP Number=Sing 2 nmod _ _ 5 shout shout VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 6 Canada Canada PROPN NNP Number=Sing 5 obj _ SpaceAfter=No 7 . . PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **shout** *speech: express* | present | Hockey fans in Toronto | Canada | | | | | vn manner\_speaking-37.3 «NP V NP»: agent=Agent canada=Topic | 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 were they actually shouting, long ago? ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:2 # text = What were they actually shouting, long ago? 1 What what PRON WP PronType=Int 5 obj _ _ 2 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 5 aux _ _ 3 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 5 nsubj _ _ 4 actually actually ADV RB _ 5 advmod _ _ 5 shouting shout VERB VBG Tense=Pres|VerbForm=Part 0 root _ SpaceAfter=No 6 , , PUNCT , _ 8 punct _ _ 7 long long ADV RB Degree=Pos 8 advmod _ _ 8 ago ago ADV RB _ 5 advmod _ SpaceAfter=No 9 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **shout** *speech: express* | past · progressive | fans *= fan* | | | | | actually, ago *property* | vn manner\_speaking-37.3 «NP V NP»: agent=Agent what=Topic | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} A French word for cold ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:o1:1 # text = A French word for cold 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 French French ADJ JJ Degree=Pos 3 amod _ _ 3 word word NOUN NN Number=Sing 0 root _ _ 4 for for ADP IN _ 5 case _ _ 5 cold cold ADJ JJ Degree=Pos 3 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ✓ the right answer {#o2} An Iroquoian word for village ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:o2:1 # text = An Iroquoian word for village 1 An a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 Iroquoian iroquoian ADJ JJ Degree=Pos 3 amod _ _ 3 word word NOUN NN Number=Sing 0 root _ _ 4 for for ADP IN _ 5 case _ _ 5 village village NOUN NN Number=Sing 3 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} A Spanish word for sea ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:o3:1 # text = A Spanish word for sea 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 Spanish Spanish ADJ JJ Degree=Pos 3 amod _ _ 3 word word NOUN NN Number=Sing 0 root _ _ 4 for for ADP IN _ 5 case _ _ 5 sea sea NOUN NN Number=Sing 3 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} An English word for beaver ```conllu # sent_id = question:history:27-explorers-magellan-around-the-world-and-the-people-already-there:t9:o4:1 # text = An English word for beaver 1 An a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 English English ADJ JJ Degree=Pos 3 amod _ _ 3 word word NOUN NN Number=Sing 0 root _ _ 4 for for ADP IN _ 5 case _ _ 5 beaver beaver NOUN NN Number=Sing 3 nmod _ _ ``` 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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