---
title: When a story mixes units, turn everything into one unit, work out th… — Yards, feet and inches in two steps · tree and pragmatics
description: When a story mixes units, turn everything into one unit, work out the story, then turn the answer into the unit the question asks for. Who acts: story, you, question. A sentence of the lesson «Yards, feet and inches in two steps» of the lessons course of Mova's primary school with its dependency tre
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/lessons/100-two-step-measures/1/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Lessons](https://md.mova.elamur.ai/free/en/corpora/school/lessons/) / [Yards, feet and inches in two steps](https://md.mova.elamur.ai/free/en/corpora/school/lessons/100-two-step-measures/) / 1

# Yards, feet and inches in two steps, sentence 1

<!-- .ven lang=en -->
When a story mixes units, turn everything into one unit, work out the story, then turn the answer into the unit the question asks for.

<!-- .vintro -->
**Who acts:** story, you, question · **What happens:** mix, turn, work out, ask · **To what, where:** units, everything, one unit, story, answer, unit

<!-- .vabout -->
This is a sentence of the lesson «Yards, feet and inches in two steps» of the lessons 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 (story, you, question), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:lessons:100-two-step-measures.lesson:1
# text = When a story mixes units, turn everything into one unit, work out the story, then turn the answer into the unit the question asks for.
# source = school lesson (ours)
# course = lessons
# lesson = 100-two-step-measures.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): R2-punct-next ×1, R5-strong ×1, R6-punct-agree ×1
1	When	when	SCONJ	WRB	_	4	mark	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	story	story	NOUN	NN	Number=Sing	4	nsubj	_	_
4	mixes	mix	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	advcl	_	_
5	units	unit	NOUN	NNS	Number=Plur	4	obj	_	_
6	,	,	PUNCT	,	_	7	punct	_	_
7	turn	turn	VERB	VB	VerbForm=Inf	0	root	_	_
8	everything	everything	PRON	NN	Number=Sing|PronType=Tot	7	obj	_	_
9	into	into	ADP	IN	_	11	case	_	_
10	one	one	NUM	CD	NumForm=Word|NumType=Card	11	nummod	_	_
11	unit	unit	NOUN	NN	Number=Sing	7	obl	_	_
12	,	,	PUNCT	,	_	13	punct	_	Agree=R2-punct-next|Haiku=7:punct
13	work	work	VERB	VB	Mood=Imp|VerbForm=Fin	7	conj	_	_
14	out	out	ADP	RP	_	13	compound:prt	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	story	story	NOUN	NN	Number=Sing	13	obj	_	_
17	,	,	PUNCT	,	_	19	punct	_	_
18	then	then	ADV	RB	PronType=Dem	19	advmod	_	_
19	turn	turn	VERB	VB	VerbForm=Inf	13	conj	_	_
20	the	the	DET	DT	Definite=Def|PronType=Art	21	det	_	_
21	answer	answer	NOUN	NN	Number=Sing	19	obj	_	_
22	into	into	ADP	IN	_	24	case	_	_
23	the	the	DET	DT	Definite=Def|PronType=Art	24	det	_	_
24	unit	unit	NOUN	NN	Number=Sing	19	obl	_	_
25	the	the	DET	DT	Definite=Def|PronType=Art	26	det	_	_
26	question	question	NOUN	NN	Number=Sing	27	nsubj	_	_
27	asks	ask	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	acl:relcl	_	Agree=R5-strong|Haiku=19:parataxis
28	for	for	ADP	IN	_	27	obl	_	_
29	.	.	PUNCT	.	_	7	punct	_	Agree=R6-punct-agree|Haiku=13:punct
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: command
- act: suggest
- voice: narrator
- polarity: none
- teacher: changed form=imp, act=suggest

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mix** | present | a story | units |  |  |  |  | vn mix-22.1-1-1 «NP V NP»: agent=Agent unit=Patient |
| 2 | **turn** | imperative | you *not said here* | everything |  | one unit |  |  | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent everything=Theme into unit=Trajectory |
| 3 | **work out** | infinitive | you *not said here* | the story |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent story=Topic |
| 4 | **turn** | infinitive | you *not said here* | the answer |  | the unit | then |  | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent answer=Theme into unit=Trajectory |
| 5 | **ask** *speech: ask* | present | the question | the unit *not said here* |  |  |  |  | vn inquire-37.1.2 «NP V NP.recipient»: agent=Agent unit=Recipient |

<!-- .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 -->

**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:lessons:100-two-step-measures.lesson:1`.

**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): R2-punct-next ×1, R5-strong ×1, 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/).

<!-- /div -->

<!-- pn -->
- ← previous: [Yards, feet and inches in two steps, 0](https://md.mova.elamur.ai/free/en/corpora/school/lessons/100-two-step-measures/0/)
- next →: [Yards, feet and inches in two steps, 2](https://md.mova.elamur.ai/free/en/corpora/school/lessons/100-two-step-measures/2/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/lessons/100-two-step-measures/)

