---
title: San-Syeng called Cheng-Si and she came running in terror to her husb… — Winning Buddha's smile · tree and pragmatics
description: San-Syeng called Cheng-Si and she came running in terror to her husband. Who acts: San, Cheng. A sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 8, with its dependency tree and the pragmatics of every clause.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/tales/pg78208/10/25/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [tales](https://md.mova.elamur.ai/free/en/corpora/tales/) / [Winning Buddha's smile](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/) / [Winning Buddha’s Smile, part 8](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/10/) / 25

# Winning Buddha's smile, Winning Buddha’s Smile, part 8, sentence 25

<!-- .ven lang=en -->
San-Syeng called Cheng-Si and she came running in terror to her husband.

<!-- .vintro -->
**Who acts:** San, Cheng · **What happens:** call, come, run · **To what, where:** Cheng, terror · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 8. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (San, Cheng), what happens, when and where, as Mova's frames read it from the tree.

<!-- .note-en -->
**Mova's own parse.** This tree may be wrong.

## The tree {#tree}

```conllu
# sent_id = book:pg78208:10:25
# text = San-Syeng called Cheng-Si and she came running in terror to her husband.
1	San	San	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	-	-	PUNCT	HYPH	_	1	punct	_	SpaceAfter=No
3	Syeng	Syeng	PROPN	NNP	Number=Sing	1	flat	_	_
4	called	call	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	Cheng	Cheng	PROPN	NNP	Number=Sing	4	obj	_	SpaceAfter=No
6	-	-	PUNCT	HYPH	_	5	punct	_	SpaceAfter=No
7	Si	Si	PROPN	NNP	Number=Sing	5	flat	_	_
8	and	and	CCONJ	CC	_	10	cc	_	_
9	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
10	came	come	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	conj	_	_
11	running	run	VERB	VBG	Tense=Pres|VerbForm=Part	10	advcl	_	_
12	in	in	ADP	IN	_	13	case	_	_
13	terror	terror	NOUN	NN	Number=Sing	11	obl	_	_
14	to	to	ADP	IN	_	16	case	_	_
15	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	16	nmod:poss	_	_
16	husband	husband	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
17	.	.	PUNCT	.	_	4	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **call** | past | San |  | Cheng |  |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent cheng=Recipient |
| 2 | **come** | past | Cheng |  |  |  |  |  | vn escape-51.1-1 «NP V»: agent=Theme |
| 3 | **run** | gerund | Cheng *not said here* |  |  | terror |  | to Cheng's husband *result* | vn run-51.3.2-2-1 «NP V PP.result»: agent=Theme to husband=Result |

<!-- .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.

<!-- div src -->

**Text:** «Winning Buddha's smile», Project Gutenberg book 78208 (public domain in the USA). **Tree:** Mova's own parse, Elamur Cosmic License. **Frames:** Mova's frames reader (`prag`), the chapter read in order.

<!-- /div -->

<!-- pn -->
- ← previous: [sentence 24](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/10/24/)
- next →: [sentence 26](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/10/26/)
- ↑ back to [Winning Buddha’s Smile, part 8](https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/10/)