---
title: Ava says "tea", her Turkish friend says "çay", her Portuguese friend… — What trade carried: tomatoes, tea, hor… · tree and pragmatics
description: Ava says "tea", her Turkish friend says "çay", her Portuguese friend says "chá". What story do the words tell? Test 10 of lesson 71 «What trade carried: tomatoes, tea, horses, words, religions and diseases» of the history course of Mova's primary school, with the dependency tree and pragmatics of th
---

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# Test 10 · What trade carried: tomatoes, tea, horses, words, religion…

<!-- .ven lang=en -->
Ava says "tea", her Turkish friend says "çay", her Portuguese friend says "chá". What story do the words tell?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 1 · wrong ✗ · **Who acts:** Ava, Turkish friend, Portuguese friend, story, you · **What happens:** say, do, tell · **To what, where:** tea, çay, chá, words · **Speech:** someone speaks here

<!-- .vabout -->
This is test 10 of lesson 71 «What trade carried: tomatoes, tea, horses, words, religions and diseases» 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/71-what-trade-carried-tomatoes-tea-horses-words-and-diseases/#t10).

## The question {#question}

<!-- .note -->
*Sentence 1:* Ava says "tea", her Turkish friend says "çay", her Portuguese friend says "chá".

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:1
# text = Ava says "tea", her Turkish friend says "çay", her Portuguese friend says "chá".
1	Ava	Ava	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	"	"	PUNCT	``	_	4	punct	_	SpaceAfter=No
4	tea	tea	NOUN	NN	Number=Sing	2	obj	_	SpaceAfter=No
5	"	"	PUNCT	''	_	4	punct	_	SpaceAfter=No
6	,	,	PUNCT	,	_	10	punct	_	_
7	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	9	nmod:poss	_	_
8	Turkish	Turkish	ADJ	JJ	Degree=Pos	9	amod	_	_
9	friend	friend	NOUN	NN	Number=Sing	10	nsubj	_	_
10	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
11	"	"	PUNCT	``	_	12	punct	_	SpaceAfter=No
12	çay	çay	NOUN	NN	Number=Sing	10	obj	_	SpaceAfter=No
13	"	"	PUNCT	''	_	12	punct	_	SpaceAfter=No
14	,	,	PUNCT	,	_	18	punct	_	_
15	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	17	nmod:poss	_	_
16	Portuguese	portuguese	ADJ	JJ	Degree=Pos	17	amod	_	_
17	friend	friend	NOUN	NN	Number=Sing	18	nsubj	_	_
18	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
19	"	"	PUNCT	``	_	20	punct	_	SpaceAfter=No
20	chá	chá	NOUN	NN	Number=Sing	18	obj	_	SpaceAfter=No
21	"	"	PUNCT	''	_	20	punct	_	SpaceAfter=No
22	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Ava | tea |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent tea=Topic |
| 2 | **say** *speech: assert* | present | Ava's Turkish friend | çay |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent çay=Topic |
| 3 | **say** *speech: assert* | present | Ava's Portuguese friend | chá |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent chá=Topic |

<!-- .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:* What story do the words tell?

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:2
# text = What story do the words tell?
1	What	what	PRON	WP	PronType=Int	3	obj	_	_
2	story	story	NOUN	NN	Number=Sing	3	nsubj	_	_
3	do	do	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	advcl	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	words	word	NOUN	NNS	Number=Plur	3	obj	_	_
6	tell	tell	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	SpaceAfter=No
7	?	?	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | present | story | the words |  |  |  |  | tree rules |
| 2 | **tell** *speech: assert* | imperative | you *not said here* |  |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V»: agent=Agent |

## The options {#options}

### Option 1 · ✓ the right answer {#o1}

<!-- .ven lang=en -->
They show which routes tea travelled on, by sea or by land

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:o1:1
# text = They show which routes tea travelled on, by sea or by land
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	show	show	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	which	which	DET	WDT	PronType=Int	4	det	_	_
4	routes	route	NOUN	NNS	Number=Plur	2	obj	_	_
5	tea	tea	NOUN	NN	Number=Sing	6	nsubj	_	_
6	travelled	travel	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	acl:relcl	_	_
7	on	on	ADV	RB	_	6	advmod	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	by	by	ADP	IN	_	10	case	_	_
10	sea	sea	NOUN	NN	Number=Sing	4	conj	_	_
11	or	or	CCONJ	CC	_	13	cc	_	_
12	by	by	ADP	IN	_	13	case	_	_
13	land	land	NOUN	NN	Number=Sing	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | present | They | which routes and sea or land |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent route=Recipient |
| 2 | **travel** | past | tea | which routes and sea or land *not said here* |  |  |  |  | vn run-51.3.2-1 «PP.location V NP»: agent=Initial\_Location route=Theme |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Tea was first grown in Turkey and its name spread west from there

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:o2:1
# text = Tea was first grown in Turkey and its name spread west from there
1	Tea	tea	NOUN	NN	Number=Sing	4	nsubj:pass	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	aux:pass	_	_
3	first	first	ADV	RB	NumForm=Word|NumType=Ord	4	advmod	_	_
4	grown	grow	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	in	in	ADP	IN	_	6	case	_	_
6	Turkey	Turkey	PROPN	NNP	Number=Sing	4	obl	_	_
7	and	and	CCONJ	CC	_	10	cc	_	_
8	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	9	nmod:poss	_	_
9	name	name	NOUN	NN	Number=Sing	10	nsubj	_	_
10	spread	spread	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	conj	_	_
11	west	west	ADV	RB	_	10	advmod	_	_
12	from	from	ADP	IN	_	13	case	_	_
13	there	there	ADV	RB	PronType=Dem	10	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **grow** | past · passive |  | Tea |  | Turkey |  | first *property* | vn appear-48.1.1 «PP.location V NP»: subject=Theme |
| 2 | **spread** | past | Tea's name |  |  |  |  | west *property* | vn appear-48.1.1 «NP V»: agent=Theme |
| 3 | **name** |  | Tea |  |  |  |  |  | nom name «communication transitive»: poss=agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
All three were made up by one king who loved tea

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:o3:1
# text = All three were made up by one king who loved tea
1	All	all	DET	DT	PronType=Tot	2	det	_	_
2	three	three	NUM	CD	NumForm=Word|NumType=Card	4	nsubj	_	_
3	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	4	aux:pass	_	_
4	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	up	up	ADP	RP	_	4	compound:prt	_	_
6	by	by	ADP	IN	_	8	case	_	_
7	one	one	NUM	CD	NumForm=Word|NumType=Card	8	nummod	_	_
8	king	king	NOUN	NN	Number=Sing	4	obl	_	_
9	who	who	PRON	WP	PronType=Rel	10	nsubj	_	_
10	loved	love	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	8	acl:relcl	_	_
11	tea	tea	NOUN	NN	Number=Sing	10	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make up** | past · passive | one king | all three |  |  |  |  | vn comprise-107.2-1 «NP V NP»: agent=Theme subject=Pivot |
| 2 | **love** | past | one king | tea |  |  |  |  | vn admire-31.2-1 «NP V NP»: agent=Experiencer tea=Stimulus |

### Option 4 {#o4}

<!-- .ven lang=en -->
They are random sounds with no history behind them at all

```conllu
# sent_id = question:history:71-what-trade-carried-tomatoes-tea-horses-words-and-diseases:t10:o4:1
# text = They are random sounds with no history behind them at all
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	random	random	ADJ	JJ	Degree=Pos	4	amod	_	_
4	sounds	sound	NOUN	NNS	Number=Plur	0	root	_	_
5	with	with	ADP	IN	_	7	case	_	_
6	no	no	DET	DT	PronType=Neg	7	det	_	_
7	history	history	NOUN	NN	Number=Sing	4	nmod	_	_
8	behind	behind	ADP	IN	_	9	case	_	_
9	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	7	nmod	_	_
10	at	at	ADP	IN	_	11	case	_	_
11	all	all	DET	DT	PronType=Tot	4	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | They | random sounds |  | all |  | with no history behind sounds | 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 -->

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