---
title: But careful, detectives: most characters are not pictures at all, th… — Olympiad: measure words and characters as pictur… · tree and pragmatics
description: But careful, detectives: most characters are not pictures at all, they join a part for the meaning with a part that hints at the sound, so a picture guess is a good start, not a sure answer. Who acts: most characters, careful detectives, part, picture guess. A sentence of the lesson «Olympiad: measu
---

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# Olympiad: measure words and characters as pictures ★★★, sentence 4

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But careful, detectives: most characters are not pictures at all, they join a part for the meaning with a part that hints at the sound, so a picture guess is a good start, not a sure answer.

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**Who acts:** most characters, careful detectives, part, picture guess · **What happens:** not be, join, hint, be · **To what, where:** pictures, all, part, sound, good start

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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 (most characters, careful detectives, part, picture guess), 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:4
# text = But careful, detectives: most characters are not pictures at all, they join a part for the meaning with a part that hints at the sound, so a picture guess is a good start, not a sure answer.
# 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): R7-rel-agree ×1
1	But	but	CCONJ	CC	_	15	cc	_	_
2	careful	careful	ADJ	JJ	Degree=Pos	4	amod	_	_
3	,	,	PUNCT	,	_	2	punct	_	_
4	detectives	detective	NOUN	NNS	Number=Plur	15	nsubj	_	_
5	:	:	PUNCT	:	_	10	punct	_	_
6	most	most	ADJ	JJS	Degree=Sup	7	amod	_	_
7	characters	character	NOUN	NNS	Number=Plur	10	nsubj	_	_
8	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	cop	_	_
9	not	not	PART	RB	Polarity=Neg	10	advmod	_	_
10	pictures	picture	NOUN	NNS	Number=Plur	4	conj	_	_
11	at	at	ADP	IN	_	12	case	_	_
12	all	all	DET	DT	PronType=Tot	10	obl	_	Agree=R7-rel-agree|Haiku=10:nmod
13	,	,	PUNCT	,	_	10	punct	_	_
14	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	15	nsubj	_	_
15	join	join	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
16	a	a	DET	DT	Definite=Ind|PronType=Art	17	det	_	_
17	part	part	NOUN	NN	Number=Sing	15	obj	_	_
18	for	for	ADP	IN	_	20	case	_	_
19	the	the	DET	DT	Definite=Def|PronType=Art	20	det	_	_
20	meaning	meaning	NOUN	NN	Number=Sing	17	nmod	_	_
21	with	with	ADP	IN	_	23	case	_	_
22	a	a	DET	DT	Definite=Ind|PronType=Art	23	det	_	_
23	part	part	NOUN	NN	Number=Sing	20	nmod	_	_
24	that	that	PRON	WDT	PronType=Rel	25	nsubj	_	_
25	hints	hint	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	23	acl:relcl	_	_
26	at	at	ADP	IN	_	28	case	_	_
27	the	the	DET	DT	Definite=Def|PronType=Art	28	det	_	_
28	sound	sound	NOUN	NN	Number=Sing	25	obl	_	_
29	,	,	PUNCT	,	_	37	punct	_	_
30	so	so	ADV	RB	_	37	advmod	_	_
31	a	a	DET	DT	Definite=Ind|PronType=Art	33	det	_	_
32	picture	picture	NOUN	NN	Number=Sing	33	compound	_	_
33	guess	guess	NOUN	NN	Number=Sing	37	nsubj	_	_
34	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	37	cop	_	_
35	a	a	DET	DT	Definite=Ind|PronType=Art	37	det	_	_
36	good	good	ADJ	JJ	Degree=Pos	37	amod	_	_
37	start	start	NOUN	NN	Number=Sing	15	obl	_	_
38	,	,	PUNCT	,	_	42	punct	_	_
39	not	not	PART	RB	Polarity=Neg	42	advmod	_	_
40	a	a	DET	DT	Definite=Ind|PronType=Art	42	det	_	_
41	sure	sure	ADJ	JJ	Degree=Pos	42	amod	_	_
42	answer	answer	NOUN	NN	Number=Sing	37	conj	_	_
43	.	.	PUNCT	.	_	15	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 | **not** **is a** | present | most characters | pictures |  | all |  |  | tree rules |
| 2 | **join** | present | careful detectives and pictures | a part |  |  |  | for the meaning with a part | vn mix-22.1-2-1 «NP V NP»: agent=Agent part=Patient |
| 3 | **hint** *speech: other* | present | a part |  |  | the sound |  |  | vn say-37.7-1-2 «NP V how S»: agent=Agent |
| 4 | **is a** | present | a picture guess | a good start and a sure answer |  |  |  |  | tree rules |

<!-- .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:4`.

**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. **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…, 5](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/5/)
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