--- title: Mia, after reading that refs pass fitness tests: which is more accur… — VAR rows, referees, fans and rivalries · tree and pragmatics description: Mia, after reading that refs pass fitness tests: which is more accurate? Test 4 · ★★ of lesson 65 «VAR rows, referees, fans and rivalries» 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/65-var-rows-referees-fans-and-rivalries/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/) / [VAR rows, referees, fans and rivalries](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/65-var-rows-referees-fans-and-rivalries/) / t4 # Test 4 · ★★ · VAR rows, referees, fans and rivalries Mia, after reading that refs pass fitness tests: which is more accurate? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Mia, refs · **What happens:** read, pass, be · **To what, where:** fitness tests This is test 4 · ★★ of lesson 65 «VAR rows, referees, fans and rivalries» 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/65-var-rows-referees-fans-and-rivalries/#t4). ## The question {#question} ```conllu # sent_id = question:medicine:65-var-rows-referees-fans-and-rivalries:t4:1 # text = Mia, after reading that refs pass fitness tests: which is more accurate? 1 Mia Mia PROPN NNP Number=Sing 14 nsubj _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 after after SCONJ IN _ 4 mark _ _ 4 reading read VERB VBG Tense=Pres|VerbForm=Part 14 advcl _ _ 5 that that SCONJ IN _ 7 mark _ _ 6 refs ref NOUN NNS Number=Plur 7 nsubj _ _ 7 pass pass VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 advcl _ _ 8 fitness fitness NOUN NN Number=Sing 9 compound _ _ 9 tests test NOUN NNS Number=Plur 7 obj _ SpaceAfter=No 10 : : PUNCT : _ 14 punct _ _ 11 which which PRON WDT PronType=Rel 14 nsubj _ _ 12 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 14 cop _ _ 13 more more ADV RBR Degree=Cmp 14 advmod _ _ 14 accurate accurate ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 15 ? ? PUNCT . _ 14 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **read** | gerund | Mia *not said here* | | | | | | vn transfer\_mesg-37.1.1-1 «NP V»: agent=Agent | | 2 | **pass** | present | refs | fitness tests | | | | | vn escape-51.1-1-3 «NP V NP»: agent=Theme test=Trajectory | | 3 | **is** | present | Mia | | | | | accurate *property* | tree rules | 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 {#o1} Refs ride bikes on the pitch ```conllu # sent_id = question:medicine:65-var-rows-referees-fans-and-rivalries:t4:o1:1 # text = Refs ride bikes on the pitch 1 Refs ref NOUN NNS Number=Plur 2 nsubj _ _ 2 ride ride VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 bikes bike NOUN NNS Number=Plur 2 obj _ _ 4 on on ADP IN _ 6 case _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 pitch pitch NOUN NN Number=Sing 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ride** | present | Refs | bikes | | the pitch | | | vn nonvehicle-51.4.2 «NP V NP»: agent=Agent bike=Theme | ### Option 2 · ✓ the right answer {#o2} Refs run nearly as far as many players ```conllu # sent_id = question:medicine:65-var-rows-referees-fans-and-rivalries:t4:o2:1 # text = Refs run nearly as far as many players 1 Refs ref NOUN NNS Number=Plur 2 nsubj _ _ 2 run run VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 nearly nearly ADV RB _ 5 advmod _ _ 4 as as ADV RB _ 5 advmod _ _ 5 far far ADV RB Degree=Pos 2 advmod _ _ 6 as as ADP IN _ 8 case _ _ 7 many many ADJ JJ Degree=Pos 8 amod _ _ 8 players player NOUN NNS Number=Plur 5 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **run** | present | Refs | | | | | far *property* | vn run-51.3.2-2-1 «NP V»: agent=Theme | ### Option 3 {#o3} Refs never need to run because they stand in the middle ```conllu # sent_id = question:medicine:65-var-rows-referees-fans-and-rivalries:t4:o3:1 # text = Refs never need to run because they stand in the middle 1 Refs ref NOUN NNS Number=Plur 3 nsubj _ _ 2 never never ADV RB PronType=Neg 3 advmod _ _ 3 need need VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 to to PART TO _ 5 mark _ _ 5 run run VERB VB VerbForm=Inf 3 xcomp _ _ 6 because because SCONJ IN _ 8 mark _ _ 7 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 8 nsubj _ _ 8 stand stand VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 advcl _ _ 9 in in ADP IN _ 11 case _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 middle middle NOUN NN Number=Sing 8 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **not** **need** | present | Refs | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme | | 2 | **run** *not said to happen* | to-infinitive | Refs *not said here* | | | | | | vn run-51.3.2-2-1 «NP V»: agent=Theme | | 3 | **stand** | present | Refs *= ref* | | | the middle | | | vn assuming\_position-50 «NP V PP.location»: agent=Agent in middle=Location | ### Option 4 {#o4} Refs walk about 1 km ```conllu # sent_id = question:medicine:65-var-rows-referees-fans-and-rivalries:t4:o4:1 # text = Refs walk about 1 km 1 Refs ref NOUN NNS Number=Plur 2 nsubj _ _ 2 walk walk VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 about about ADV RB _ 4 advmod _ _ 4 1 1 NUM CD NumForm=Digit|NumType=Card 5 nummod _ _ 5 km km NOUN NN Number=Sing 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **walk** | present | Refs | 1 km | | | | | vn run-51.3.2-2-1 «NP V NP»: agent=Theme km=Trajectory | **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: [VAR rows, referees, fans and rivalries, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/65-var-rows-referees-fans-and-rivalries/t3/) - next →: [VAR rows, referees, fans and rivalries, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/65-var-rows-referees-fans-and-rivalries/t5/) - ↑ back to [VAR rows, referees, fans and rivalries](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/65-var-rows-referees-fans-and-rivalries/)