--- title: Ravi's cousin: «Count 'em». Which list is right for Brazil's titles? — The World Cup · tree and pragmatics description: Ravi's cousin: «Count 'em». Which list is right for Brazil's titles? Test 4 of lesson 61 «The World Cup» of the medicine course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/medicine/61-the-world-cup/t4/) [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/) / [Medicine](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/) / [The World Cup](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/61-the-world-cup/) / t4 # Test 4 · The World Cup Ravi's cousin: «Count 'em». Which list is right for Brazil's titles? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** list, Brazil · **What happens:** count, be, title · **To what, where:** 'em This is test 4 of lesson 61 «The World Cup» of the medicine 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/medicine/61-the-world-cup/#t4). ## The question {#question} *Sentence 1:* Ravi's cousin: «Count 'em». ```conllu # sent_id = question:medicine:61-the-world-cup:t4:1 # text = Ravi's cousin: «Count 'em». 1 Ravi Ravi PROPN NNP Number=Sing 3 nmod:poss _ SpaceAfter=No 2 's 's PART POS _ 1 case _ _ 3 cousin cousin NOUN NN Number=Sing 0 root _ SpaceAfter=No 4 : : PUNCT : _ 6 punct _ _ 5 « « PUNCT `` _ 6 punct _ SpaceAfter=No 6 Count count VERB VB Mood=Imp|VerbForm=Fin 3 appos _ _ 7 'em they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 6 obj _ SpaceAfter=No 8 » » PUNCT '' _ 6 punct _ SpaceAfter=No 9 . . PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** *in a quote* | infinitive | | 'em *= they* | | | | | vn multiply-108 «NP V NP»: agent=Agent they=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. *Sentence 2:* Which list is right for Brazil's titles? ```conllu # sent_id = question:medicine:61-the-world-cup:t4:2 # text = Which list is right for Brazil's titles? 1 Which which DET WDT PronType=Int 2 det _ _ 2 list list NOUN NN Number=Sing 4 nsubj _ _ 3 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 cop _ _ 4 right right ADJ JJ Degree=Pos 0 root _ _ 5 for for ADP IN _ 8 case _ _ 6 Brazil Brazil PROPN NNP Number=Sing 8 nmod:poss _ SpaceAfter=No 7 's 's PART POS _ 6 case _ _ 8 titles title NOUN NNS Number=Plur 4 obl _ SpaceAfter=No 9 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | which list | | | | | for Brazil's titles; right *property* | tree rules | | 2 | **title** | | Brazil | | | | | | nom title «communication transitive»: poss=agent | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} Every World Cup since 1930 ```conllu # sent_id = question:medicine:61-the-world-cup:t4:o1:1 # text = Every World Cup since 1930 1 Every every DET DT PronType=Tot 3 det _ _ 2 World World PROPN NNP Number=Sing 3 compound _ _ 3 Cup cup NOUN NN Number=Sing 0 root _ _ 4 since since ADP IN _ 5 case _ _ 5 1930 1930 NUM CD NumForm=Digit|NumType=Card 3 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} 1966, 1970, 1986, 2002, 2014 ```conllu # sent_id = question:medicine:61-the-world-cup:t4:o2:1 # text = 1966, 1970, 1986, 2002, 2014 1 1966 1966 NUM CD NumForm=Digit|NumType=Card 0 root _ SpaceAfter=No 2 , , PUNCT , _ 3 punct _ _ 3 1970 1970 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 1986 1986 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 6 , , PUNCT , _ 7 punct _ _ 7 2002 2002 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 8 , , PUNCT , _ 9 punct _ _ 9 2014 2014 NUM CD NumForm=Digit|NumType=Card 7 flat _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} 1950, 1958, 1962, 2002, 2010 ```conllu # sent_id = question:medicine:61-the-world-cup:t4:o3:1 # text = 1950, 1958, 1962, 2002, 2010 1 1950 1950 NUM CD NumForm=Digit|NumType=Card 0 root _ SpaceAfter=No 2 , , PUNCT , _ 3 punct _ _ 3 1958 1958 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 1962 1962 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 6 , , PUNCT , _ 7 punct _ _ 7 2002 2002 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 8 , , PUNCT , _ 9 punct _ _ 9 2010 2010 NUM CD NumForm=Digit|NumType=Card 1 nmod:unmarked _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} 1958, 1962, 1970, 1994, 2002 ```conllu # sent_id = question:medicine:61-the-world-cup:t4:o4:1 # text = 1958, 1962, 1970, 1994, 2002 1 1958 1958 NUM CD NumForm=Digit|NumType=Card 0 root _ SpaceAfter=No 2 , , PUNCT , _ 3 punct _ _ 3 1962 1962 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 1970 1970 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 6 , , PUNCT , _ 7 punct _ _ 7 1994 1994 NUM CD NumForm=Digit|NumType=Card 1 conj _ SpaceAfter=No 8 , , PUNCT , _ 9 punct _ _ 9 2002 2002 NUM CD NumForm=Digit|NumType=Card 1 conj _ _ ``` 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. Elamur Cosmic License. - ← previous: [The World Cup, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/61-the-world-cup/t3/) - next →: [The World Cup, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/61-the-world-cup/t5/) - ↑ back to [The World Cup](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/61-the-world-cup/)