---
title: Most languages call tea «te» or «cha»: words like «tea» came by sea… — What trade carried: tomatoes, tea, horses, words… · tree and pragmatics
description: Most languages call tea «te» or «cha»: words like «tea» came by sea from the coast of China, where people said «te», and words like «chai» and «çay» came by land routes from places that said «cha». Who acts: Most languages, people, words, places. A sentence of the lesson «What trade carried: tomatoe
---

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# What trade carried: tomatoes, tea, horses, words, religions and diseases, sentence 14

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Most languages call tea «te» or «cha»: words like «tea» came by sea from the coast of China, where people said «te», and words like «chai» and «çay» came by land routes from places that said «cha».

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**Who acts:** Most languages, people, words, places · **What happens:** call, come, say · **To what, where:** tea, coast, te · **Speech:** someone speaks here

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This is a sentence of the lesson «What trade carried: tomatoes, tea, horses, words, religions and diseases» of the history course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Most languages, people, words, places), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:history:071-what-trade-carried-tomatoes-tea-horses-words-and-diseases.lesson:14
# text = Most languages call tea «te» or «cha»: words like «tea» came by sea from the coast of China, where people said «te», and words like «chai» and «çay» came by land routes from places that said «cha».
# source = school lesson (ours)
# course = history
# lesson = 071-what-trade-carried-tomatoes-tea-horses-words-and-diseases.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R1-cc-next ×1, R5-strong ×2, R6-punct-agree ×5, R8-pos-agree ×2
1	Most	most	ADJ	JJS	Degree=Sup	2	amod	_	_
2	languages	language	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	call	call	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	18	parataxis	_	_
4	tea	tea	NOUN	NN	Number=Sing	3	obj	_	_
5	«	«	PUNCT	``	_	6	punct	_	Agree=R8-pos-agree|Haiku=6:punct|HaikuPos=PUNCT:,:_
6	te	te	X	GW	_	4	appos	_	_
7	»	»	PUNCT	''	_	6	punct	_	Agree=R6-punct-agree|Haiku=11:punct|HaikuPos=PUNCT:,:_
8	or	or	CCONJ	CC	_	11	cc	_	_
9	«	«	PUNCT	``	_	10	punct	_	Agree=R5-strong|Haiku=11:amod|HaikuPos=ADJ:JJ:Degree=Pos
10	cha	cha	NOUN	NN	Number=Sing	6	conj	_	Agree=R5-strong|Haiku=11:compound
11	»	»	X	NN	_	6	flat	_	_
12	:	:	PUNCT	:	_	13	punct	_	_
13	words	word	NOUN	NNS	Number=Plur	11	conj	_	_
14	like	like	ADP	IN	_	16	case	_	_
15	«	«	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	tea	tea	NOUN	NN	Number=Sing	13	nmod	_	_
17	»	»	PUNCT	''	_	16	punct	_	Agree=R6-punct-agree|Haiku=6:punct|HaikuPos=PUNCT:,:_
18	came	come	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
19	by	by	ADP	IN	_	20	case	_	_
20	sea	sea	NOUN	NN	Number=Sing	18	obl	_	_
21	from	from	ADP	IN	_	23	case	_	_
22	the	the	DET	DT	Definite=Def|PronType=Art	23	det	_	_
23	coast	coast	NOUN	NN	Number=Sing	18	obl	_	_
24	of	of	ADP	IN	_	25	case	_	_
25	China	China	PROPN	NNP	Number=Sing	23	nmod	_	_
26	,	,	PUNCT	,	_	29	punct	_	_
27	where	where	ADV	WRB	PronType=Rel	29	advmod	_	_
28	people	people	NOUN	NNS	Number=Plur	29	nsubj	_	_
29	said	say	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	18	parataxis	_	_
30	«	«	PUNCT	``	_	31	punct	_	_
31	te	te	NOUN	GW	Number=Sing|Typo=Yes	29	obj	_	_
32	»	»	PUNCT	''	_	31	punct	_	_
33	,	,	PUNCT	,	_	44	punct	_	_
34	and	and	CCONJ	CC	_	35	cc	_	_
35	words	word	NOUN	NNS	Number=Plur	44	nsubj	_	_
36	like	like	ADP	IN	_	38	case	_	_
37	«	«	DET	DT	Definite=Def|PronType=Art	38	det	_	_
38	chai	chai	NOUN	NN	Number=Sing	35	nmod	_	_
39	»	»	PUNCT	''	_	38	punct	_	Agree=R8-pos-agree|Haiku=38:punct|HaikuPos=PUNCT:,:_
40	and	and	CCONJ	CC	_	42	cc	_	Agree=R1-cc-next|Haiku=38:cc
41	«	«	PUNCT	``	_	42	punct	_	Agree=R6-punct-agree|Haiku=40:punct|HaikuPos=PUNCT:,:_
42	çay	çay	X	GW	_	38	conj	_	_
43	»	»	PUNCT	''	_	42	punct	_	Agree=R6-punct-agree|Haiku=31:punct|HaikuPos=PUNCT:,:_
44	came	come	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	18	conj	_	_
45	by	by	ADP	IN	_	47	case	_	_
46	land	land	NOUN	NN	Number=Sing	47	compound	_	_
47	routes	route	NOUN	NNS	Number=Plur	44	obl	_	_
48	from	from	ADP	IN	_	49	case	_	_
49	places	place	NOUN	NNS	Number=Plur	47	nmod	_	_
50	that	that	PRON	WDT	PronType=Rel	51	nsubj	_	_
51	said	say	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	49	acl:relcl	_	_
52	«	«	ADP	IN	_	54	case	_	_
53	cha	cha	NOUN	NN	Number=Sing	54	compound	_	_
54	»	»	NOUN	NN	Number=Sing	51	obl	_	_
55	.	.	PUNCT	.	_	3	punct	_	Agree=R6-punct-agree|Haiku=18:punct
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **call** | present | Most languages | tea |  |  |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent tea=Recipient |
| 2 | **come** | past |  |  |  | the coast of China |  | by sea | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from coast=Initial\_Location |
| 3 | **say** *speech: assert* | past | people | te |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent te=Topic |
| 4 | **come** | past | words like « chai |  |  |  |  | by land routes from places | vn appear-48.1.1 «NP V PP.location»: agent=Theme by route=Location |
| 5 | **say** *speech: assert* | past | places |  |  |  |  | « cha » | vn say-37.7-1-1 «NP V that S»: agent=Agent |

<!-- .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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:history:071-what-trade-carried-tomatoes-tea-horses-words-and-diseases.lesson:14`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R1-cc-next ×1, R5-strong ×2, R6-punct-agree ×5, R8-pos-agree ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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