---
title: Your neighbour, Dr Brown, says "Please call me Helen." What do you c… — Greeting adults and teachers · tree and pragmatics
description: Your neighbour, Dr Brown, says "Please call me Helen." What do you call her now? Test 5 of lesson 121 «Greeting adults and teachers» of the everyday course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/everyday/121-greeting-adults-and-teachers/t5/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Everyday](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/) / [Greeting adults and teachers](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/121-greeting-adults-and-teachers/) / t5

# Test 5 · Greeting adults and teachers

<!-- .ven lang=en -->
Your neighbour, Dr Brown, says "Please call me Helen." What do you call her now?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** neighbour, you · **What happens:** say, call · **To what, where:** neighbour · **Speech:** someone speaks here

<!-- .vabout -->
This is test 5 of lesson 121 «Greeting adults and teachers» of the everyday course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/everyday/121-greeting-adults-and-teachers/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* Your neighbour, Dr Brown, says "Please call me Helen."

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:1
# text = Your neighbour, Dr Brown, says "Please call me Helen."
1	Your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	neighbour	neighbour	NOUN	NN	Number=Sing	7	nsubj	_	SpaceAfter=No
3	,	,	PUNCT	,	_	5	punct	_	_
4	Dr	Dr	PROPN	NNP	Number=Sing	5	nmod:desc	_	_
5	Brown	Brown	PROPN	NNP	Number=Sing	2	appos	_	SpaceAfter=No
6	,	,	PUNCT	,	_	2	punct	_	_
7	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	"	"	PUNCT	``	_	10	punct	_	SpaceAfter=No
9	Please	please	INTJ	UH	_	10	discourse	_	_
10	call	call	VERB	VB	VerbForm=Inf	7	ccomp	_	_
11	me	I	PRON	PRP	Case=Acc|Number=Sing|Person=1|PronType=Prs	10	obj	_	_
12	Helen	Helen	PROPN	NNP	Number=Sing	10	xcomp	_	SpaceAfter=No
13	.	.	PUNCT	.	_	10	punct	_	SpaceAfter=No
14	"	"	PUNCT	''	_	10	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Your neighbour |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **call** *in a quote* | infinitive |  |  | Your neighbour *= neighbour* |  |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent i=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.

<!-- .note -->
*Sentence 2:* What do you call her now?

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:2
# text = What do you call her now?
1	What	what	PRON	WP	PronType=Int	4	obj	_	_
2	do	do	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	4	aux	_	_
3	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	4	nsubj	_	_
4	call	call	VERB	VB	VerbForm=Inf	0	root	_	_
5	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	obj	_	_
6	now	now	ADV	RB	PronType=Dem	4	advmod	_	SpaceAfter=No
7	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **call** | present · do-support | you | neighbour |  |  | now |  | vn dub-29.3.2 «NP V NP NP»: agent=Agent what=Theme she=Result |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Mrs Helen Brown

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:o1:1
# text = Mrs Helen Brown
1	Mrs	Mrs	PROPN	NNP	Number=Sing	0	root	_	_
2	Helen	Helen	PROPN	NNP	Number=Sing	1	flat	_	_
3	Brown	Brown	PROPN	NNP	Number=Sing	1	flat	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Helen

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:o2:1
# text = Helen
1	Helen	helen	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 {#o3}

<!-- .ven lang=en -->
Doctor

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:o3:1
# text = Doctor
1	Doctor	doctor	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 4 {#o4}

<!-- .ven lang=en -->
Dr Brown, always, whatever she says

```conllu
# sent_id = question:everyday:121-greeting-adults-and-teachers:t5:o4:1
# text = Dr Brown, always, whatever she says
1	Dr	Dr	PROPN	NNP	Number=Sing	2	nmod:desc	_	_
2	Brown	Brown	PROPN	NNP	Number=Sing	8	nsubj	_	SpaceAfter=No
3	,	,	PUNCT	,	_	2	punct	_	_
4	always	always	ADV	RB	PronType=Tot	8	advmod	_	SpaceAfter=No
5	,	,	PUNCT	,	_	4	punct	_	_
6	whatever	whatever	PRON	WP	PronType=Rel	8	obj	_	_
7	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	_
8	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Brown  Dr | whatever |  |  |  | always *property* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent whatever=Topic |

<!-- div src -->

**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

<!-- pn -->
- ← previous: [Greeting adults and teachers, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/121-greeting-adults-and-teachers/t4/)
- next →: [Greeting adults and teachers, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/121-greeting-adults-and-teachers/t6/)
- ↑ back to [Greeting adults and teachers](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/121-greeting-adults-and-teachers/)