---
title: Traditional Chinese medicine is very old; Tu Youyou won the 2015 Nob… — China: Mei's exaggerations and everyday China · tree and pragmatics
description: Traditional Chinese medicine is very old; Tu Youyou won the 2015 Nobel Prize for artemisinin, a malaria drug from sweet wormwood, a plant named in old texts, but many traditional remedies are not proven by tests and some use endangered animals. Who acts: Traditional Chinese medicine, Tu, tests, some
---

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# China: Mei's exaggerations and everyday China, sentence 21

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Traditional Chinese medicine is very old; Tu Youyou won the 2015 Nobel Prize for artemisinin, a malaria drug from sweet wormwood, a plant named in old texts, but many traditional remedies are not proven by tests and some use endangered animals.

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**Who acts:** Traditional Chinese medicine, Tu, tests, some · **What happens:** be, win, name, not prove, use · **To what, where:** 2015 Nobel Prize, plant, old texts, many traditional remedies, endangered animals

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This is a sentence of the lesson «China: Mei's exaggerations and everyday China» 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 (Traditional Chinese medicine, Tu, tests, some), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:history:060-china-mei-s-exaggerations-and-everyday-china.lesson:21
# text = Traditional Chinese medicine is very old; Tu Youyou won the 2015 Nobel Prize for artemisinin, a malaria drug from sweet wormwood, a plant named in old texts, but many traditional remedies are not proven by tests and some use endangered animals.
# source = school lesson (ours)
# course = history
# lesson = 060-china-mei-s-exaggerations-and-everyday-china.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): R7-rel-agree ×1, R8-pos-agree ×1
1	Traditional	traditional	ADJ	JJ	Degree=Pos	3	amod	_	_
2	Chinese	Chinese	ADJ	JJ	Degree=Pos	3	amod	_	_
3	medicine	medicine	NOUN	NN	Number=Sing	6	nsubj	_	_
4	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
5	very	very	ADV	RB	_	6	advmod	_	_
6	old	old	ADJ	JJ	Degree=Pos	0	root	_	_
7	;	;	PUNCT	:	_	10	punct	_	_
8	Tu	Tu	PROPN	NNP	Number=Sing	10	nsubj	_	_
9	Youyou	Youyou	PROPN	NNP	Number=Sing	8	flat	_	_
10	won	win	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	6	parataxis	_	Agree=R7-rel-agree|Haiku=6:conj
11	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
12	2015	2015	NUM	CD	NumForm=Digit|NumType=Card	14	compound	_	_
13	Nobel	Nobel	PROPN	NNP	Number=Sing	14	compound	_	_
14	Prize	Prize	PROPN	NNP	Number=Sing	10	obj	_	_
15	for	for	ADP	IN	_	16	case	_	_
16	artemisinin	artemisinin	NOUN	NN	Number=Sing	14	nmod	_	_
17	,	,	PUNCT	,	_	20	punct	_	_
18	a	a	DET	DT	Definite=Ind|PronType=Art	20	det	_	_
19	malaria	malaria	NOUN	NN	Number=Sing	20	compound	_	_
20	drug	drug	NOUN	NN	Number=Sing	14	appos	_	_
21	from	from	ADP	IN	_	23	case	_	_
22	sweet	sweet	ADJ	JJ	Degree=Pos	23	amod	_	_
23	wormwood	wormwood	NOUN	NN	Number=Sing	20	nmod	_	_
24	,	,	PUNCT	,	_	26	punct	_	_
25	a	a	DET	DT	Definite=Ind|PronType=Art	26	det	_	_
26	plant	plant	NOUN	NN	Number=Sing	14	appos	_	_
27	named	name	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	26	acl	_	_
28	in	in	ADP	IN	_	30	case	_	_
29	old	old	ADJ	JJ	Degree=Pos	30	amod	_	_
30	texts	text	NOUN	NNS	Number=Plur	27	obl	_	_
31	,	,	PUNCT	,	_	38	punct	_	_
32	but	but	CCONJ	CC	_	38	cc	_	_
33	many	many	ADJ	JJ	Degree=Pos	35	amod	_	_
34	traditional	traditional	ADJ	JJ	Degree=Pos	35	amod	_	_
35	remedies	remedy	NOUN	NNS	Number=Plur	38	nsubj:pass	_	_
36	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	38	aux:pass	_	_
37	not	not	PART	RB	Polarity=Neg	38	advmod	_	_
38	proven	prove	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	6	conj	_	_
39	by	by	ADP	IN	_	40	case	_	_
40	tests	test	NOUN	NNS	Number=Plur	38	obl	_	_
41	and	and	CCONJ	CC	_	43	cc	_	_
42	some	some	DET	DT	PronType=Ind	43	nsubj	_	Agree=R8-pos-agree|Haiku=43:nsubj|HaikuPos=PRON:DT:PronType=Ind
43	use	use	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	38	conj	_	_
44	endangered	endangered	ADJ	JJ	Degree=Pos	45	amod	_	_
45	animals	animal	NOUN	NNS	Number=Plur	43	obj	_	_
46	.	.	PUNCT	.	_	6	punct	_	_
```

## Pragmatics {#pragmatics}

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No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Traditional Chinese medicine |  |  |  |  | old *property* | tree rules |
| 2 | **win** | past | Tu | the 2015 Nobel Prize |  |  |  | for artemisinin | vn get-13.5.1 «NP V NP PP.beneficiary»: agent=Agent prize=Theme for artemisinin=Beneficiary |
| 3 | **name** | participle |  | a plant *not said here* |  | old texts |  |  | vn appoint-29.1 «NP V NP»: agent=Agent |
| 4 | **not** **prove** | present · passive | tests | many traditional remedies |  |  |  |  | vn deduce-97.2 «NP V NP»: agent=Agent subject=Theme |
| 5 | **use** | present | some | endangered animals |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent animal=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.

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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:060-china-mei-s-exaggerations-and-everyday-china.lesson:21`.

**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): R7-rel-agree ×1, R8-pos-agree ×1. **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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- next →: [China: Mei's exaggerations and everyda…, 22](https://md.mova.elamur.ai/free/en/corpora/school/history/60-china-mei-s-exaggerations-and-everyday-china/22/)
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