---
title: Characters built from pictures: 林 lín (two trees) is a wood, 森 sēn (… — Olympiad: measure words and characters as pictur… · tree and pragmatics
description: Characters built from pictures: 林 lín (two trees) is a wood, 森 sēn (three trees) is in sēnlín, a forest, 明 míng (sun and moon) means bright, and 休 xiū (person and tree) means rest. Who acts: 林 lín, 森 sēn, 明 míng, 休 xiū. A sentence of the lesson «Olympiad: measure words and characters as pictures ★★★
---

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# Olympiad: measure words and characters as pictures ★★★, sentence 14

<!-- .ven lang=en -->
Characters built from pictures: 林 lín (two trees) is a wood, 森 sēn (three trees) is in sēnlín, a forest, 明 míng (sun and moon) means bright, and 休 xiū (person and tree) means rest.

<!-- .vintro -->
**Who acts:** 林 lín, 森 sēn, 明 míng, 休 xiū · **What happens:** build, be, mean · **To what, where:** Characters, pictures, wood, sēnlín, rest

<!-- .vabout -->
This is a sentence of the lesson «Olympiad: measure words and characters as pictures ★★★» of the chinese street 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 (林 lín, 森 sēn, 明 míng, 休 xiū), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:chinese-street:032-olympiad-measure-words-and-picture-characters.lesson:14
# text = Characters built from pictures: 林 lín (two trees) is a wood, 森 sēn (three trees) is in sēnlín, a forest, 明 míng (sun and moon) means bright, and 休 xiū (person and tree) means rest.
# source = school lesson (ours)
# course = chinese-street
# lesson = 032-olympiad-measure-words-and-picture-characters.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): R6-punct-agree ×1
1	Characters	character	NOUN	NNS	Number=Plur	36	dislocated	_	_
2	built	build	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	acl	_	_
3	from	from	ADP	IN	_	4	case	_	_
4	pictures	picture	NOUN	NNS	Number=Plur	2	obl	_	_
5	:	:	PUNCT	:	_	14	punct	_	_
6	林	林	X	FW	_	7	flat:foreign	_	_
7	lín	lín	NOUN	NN	Number=Sing	14	nsubj	_	_
8	(	(	PUNCT	-LRB-	_	10	punct	_	_
9	two	two	NUM	CD	NumForm=Word|NumType=Card	10	nummod	_	_
10	trees	tree	NOUN	NNS	Number=Plur	7	appos	_	_
11	)	)	PUNCT	-RRB-	_	10	punct	_	_
12	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	14	cop	_	_
13	a	a	DET	DT	Definite=Ind|PronType=Art	14	det	_	_
14	wood	wood	NOUN	NN	Number=Sing	36	parataxis	_	_
15	,	,	PUNCT	,	_	24	punct	_	Agree=R6-punct-agree|Haiku=17:punct
16	森	森	X	FW	_	17	flat:foreign	_	_
17	sēn	sēn	NOUN	NN	Number=Sing	24	nsubj	_	_
18	(	(	PUNCT	-LRB-	_	20	punct	_	_
19	three	three	NUM	CD	NumForm=Word|NumType=Card	20	nummod	_	_
20	trees	tree	NOUN	NNS	Number=Plur	17	appos	_	_
21	)	)	PUNCT	-RRB-	_	20	punct	_	_
22	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	cop	_	_
23	in	in	ADP	IN	_	24	case	_	_
24	sēnlín	sēnlín	NOUN	NN	Number=Sing	14	parataxis	_	_
25	,	,	PUNCT	,	_	27	punct	_	_
26	a	a	DET	DT	Definite=Ind|PronType=Art	27	det	_	_
27	forest	forest	NOUN	NN	Number=Sing	24	conj	_	_
28	,	,	PUNCT	,	_	30	punct	_	_
29	明	明	X	FW	_	30	flat:foreign	_	_
30	míng	míng	NOUN	NN	Number=Sing	36	nsubj	_	_
31	(	(	PUNCT	-LRB-	_	32	punct	_	_
32	sun	sun	NOUN	NN	Number=Sing	30	appos	_	_
33	and	and	CCONJ	CC	_	34	cc	_	_
34	moon	moon	NOUN	NN	Number=Sing	32	conj	_	_
35	)	)	PUNCT	-RRB-	_	32	punct	_	_
36	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
37	bright	bright	ADJ	JJ	Degree=Pos	36	xcomp	_	_
38	,	,	PUNCT	,	_	47	punct	_	_
39	and	and	CCONJ	CC	_	47	cc	_	_
40	休	休	X	FW	_	41	flat:foreign	_	_
41	xiū	xiū	NOUN	NN	Number=Sing	47	nsubj	_	_
42	(	(	PUNCT	-LRB-	_	43	punct	_	_
43	person	person	NOUN	NN	Number=Sing	41	appos	_	_
44	and	and	CCONJ	CC	_	45	cc	_	_
45	tree	tree	NOUN	NN	Number=Sing	43	conj	_	_
46	)	)	PUNCT	-RRB-	_	43	punct	_	_
47	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	36	parataxis	_	_
48	rest	rest	NOUN	NN	Number=Sing	47	obj	_	_
49	.	.	PUNCT	.	_	36	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 | **build** | participle |  | Characters *not said here* |  | pictures |  |  | vn build-26.1-1 «NP.asset V PP»: agent=Asset from picture=Material |
| 2 | **is a** | present | 林 lín | a wood |  |  |  |  | tree rules |
| 3 | **is** | present | 森 sēn |  |  | sēnlín and a forest |  |  | tree rules |
| 4 | **mean** | present | 明 míng |  |  |  |  | Characters *dislocated*; bright *property* | vn intend-61.2-1 «NP V S»: agent=Agent |
| 5 | **mean** | present | 休 xiū | rest |  |  |  |  | vn intend-61.2-1 «NP V NP»: agent=Agent rest=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.

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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:chinese-street:032-olympiad-measure-words-and-picture-characters.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): R6-punct-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 →: [Olympiad: measure words and characters…, 15](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/15/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/)

