---
title: Maya says Serena was «just born good». Which is a fair reply? — Famous athletes and what being a profe… · tree and pragmatics
description: Maya says Serena was «just born good». Which is a fair reply? Test 11 · ★ of lesson 63 «Famous athletes and what being a professional takes» 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.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/medicine/63-famous-athletes-and-what-being-a-professional-takes/t11/)

<!-- crumbs -->
[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/) / [Famous athletes and what being a profe…](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/63-famous-athletes-and-what-being-a-professional-takes/) / t11

# Test 11 · ★ · Famous athletes and what being a professional takes

<!-- .ven lang=en -->
Maya says Serena was «just born good». Which is a fair reply?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Maya · **What happens:** say, bear, be · **To what, where:** Serena, fair reply · **Speech:** someone speaks here

<!-- .vabout -->
This is test 11 · ★ of lesson 63 «Famous athletes and what being a professional takes» 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/63-famous-athletes-and-what-being-a-professional-takes/#t11).

## The question {#question}

<!-- .note -->
*Sentence 1:* Maya says Serena was «just born good».

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:1
# text = Maya says Serena was «just born good».
1	Maya	Maya	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	Serena	Serena	PROPN	NNP	Number=Sing	7	nsubj:pass	_	_
4	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
5	«	«	PUNCT	``	_	7	punct	_	SpaceAfter=No
6	just	just	ADV	RB	_	7	advmod	_	_
7	born	bear	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	ccomp	_	_
8	good	good	ADJ	JJ	Degree=Pos	7	xcomp	_	SpaceAfter=No
9	»	»	PUNCT	''	_	7	punct	_	SpaceAfter=No
10	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Maya |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **bear** *in a quote* | past · passive |  | Serena |  |  |  | good *property* | vn birth-28.2-1-1 «NP V NP»: subject=Patient |

<!-- .note -->
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.

<!-- .note -->
*Sentence 2:* Which is a fair reply?

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:2
# text = Which is a fair reply?
1	Which	which	PRON	WDT	PronType=Rel	5	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	fair	fair	ADJ	JJ	Degree=Pos	5	amod	_	_
5	reply	reply	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present |  | a fair reply |  |  |  |  | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Practice can never beat talent

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:o1:1
# text = Practice can never beat talent
1	Practice	practice	NOUN	NN	Number=Sing	4	nsubj	_	_
2	can	can	AUX	MD	VerbForm=Fin	4	aux	_	_
3	never	never	ADV	RB	PronType=Neg	4	advmod	_	_
4	beat	beat	VERB	VB	VerbForm=Inf	0	root	_	_
5	talent	talent	NOUN	NN	Number=Sing	4	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **beat** | can | Practice | talent |  |  |  |  | vn sound\_emission-43.2 «PP.location V NP»: agent=Location talent=Theme |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Talent starts you off; practice keeps you going

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:o2:1
# text = Talent starts you off; practice keeps you going
1	Talent	talent	NOUN	NN	Number=Sing	2	nsubj	_	_
2	starts	start	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	2	obj	_	_
4	off	off	ADP	RP	_	2	compound:prt	_	SpaceAfter=No
5	;	;	PUNCT	:	_	7	punct	_	_
6	practice	practice	NOUN	NN	Number=Sing	7	nsubj	_	_
7	keeps	keep	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
8	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	7	obj	_	_
9	going	go	VERB	VBG	VerbForm=Ger	7	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **start off** | present | Talent | you |  |  |  |  | vn begin-55.1-1-1 «NP V NP»: agent=Agent you=Eventuality |
| 2 | **keep** | present | practice | you |  |  |  |  | tree rules |
| 3 | **go** | gerund | you *not said here* |  |  |  |  |  | vn disappearance-48.2-1 «NP V»: agent=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Serena never practised

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:o3:1
# text = Serena never practised
1	Serena	Serena	PROPN	NNP	Number=Sing	0	root	_	_
2	never	never	ADV	RB	PronType=Neg	3	advmod	_	_
3	practised	practise	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	acl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **practise** | participle |  | Serena *not said here* |  |  |  |  | tree rules |

### Option 4 {#o4}

<!-- .ven lang=en -->
Talent and practice are the same

```conllu
# sent_id = question:medicine:63-famous-athletes-and-what-being-a-professional-takes:t11:o4:1
# text = Talent and practice are the same
1	Talent	talent	NOUN	NN	Number=Sing	6	nsubj	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	practice	practice	NOUN	NN	Number=Sing	1	conj	_	_
4	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	same	same	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Talent and practice |  |  |  |  | same *property* | tree rules |

<!-- div src -->

**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.

<!-- /div -->

<!-- pn -->
- ← previous: [Famous athletes and what being a profe…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/63-famous-athletes-and-what-being-a-professional-takes/t10/)
- next →: [Famous athletes and what being a profe…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/63-famous-athletes-and-what-being-a-professional-takes/e1/)
- ↑ back to [Famous athletes and what being a professional takes](https://md.mova.elamur.ai/free/en/corpora/questions/medicine/63-famous-athletes-and-what-being-a-professional-takes/)

