---
title: Liam from Dublin goes, "Sure the cow stayed English and the dinner w… — English words that came from French · tree and pragmatics
description: Liam from Dublin goes, "Sure the cow stayed English and the dinner went French?" Is he right? Test 2 · ★ of lesson 36 «English words that came from French» of the French course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was rig
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/french/36-english-words-that-came-from-french/t2/)

<!-- 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/) / [French](https://md.mova.elamur.ai/free/en/corpora/questions/french/) / [English words that came from French](https://md.mova.elamur.ai/free/en/corpora/questions/french/36-english-words-that-came-from-french/) / t2

# Test 2 · ★ · English words that came from French

<!-- .ven lang=en -->
Liam from Dublin goes, "Sure the cow stayed English and the dinner went French?" Is he right?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Liam, cow, dinner · **What happens:** go, stay, be · **To what, where:** English · **Speech:** someone speaks here

<!-- .vabout -->
This is test 2 · ★ of lesson 36 «English words that came from French» of the French 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/french/36-english-words-that-came-from-french/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* Liam from Dublin goes, "Sure the cow stayed English and the dinner went French?"

```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:1
# text = Liam from Dublin goes, "Sure the cow stayed English and the dinner went French?"
1	Liam	Liam	PROPN	NNP	Number=Sing	4	nsubj	_	_
2	from	from	ADP	IN	_	3	case	_	_
3	Dublin	Dublin	PROPN	NNP	Number=Sing	1	nmod	_	_
4	goes	go	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	4	punct	_	_
6	"	"	PUNCT	``	_	10	punct	_	SpaceAfter=No
7	Sure	sure	INTJ	UH	_	10	discourse	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	cow	cow	NOUN	NN	Number=Sing	10	nsubj	_	_
10	stayed	stay	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	parataxis	_	_
11	English	English	PROPN	NNP	Number=Sing	10	obj	_	_
12	and	and	CCONJ	CC	_	15	cc	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	dinner	dinner	NOUN	NN	Number=Sing	15	nsubj	_	_
15	went	go	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	10	conj	_	_
16	French	French	ADJ	JJ	Degree=Pos	15	xcomp	_	SpaceAfter=No
17	?	?	PUNCT	.	_	4	punct	_	SpaceAfter=No
18	"	"	PUNCT	''	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **go** | present | Liam from Dublin |  |  |  |  |  | vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic |
| 2 | **stay** *in a quote* | past | the cow | English |  |  |  |  | vn lodge-46 «NP V ADV»: agent=Theme english=Location |
| 3 | **go** *in a quote* | past | the dinner |  |  |  |  | french *property* | vn disappearance-48.2-1 «NP V»: agent=Theme |

<!-- .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:* Is he right?

```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:2
# text = Is he right?
1	Is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
2	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
3	right	right	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
4	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | dinner |  |  |  |  | right *property* | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Yes: the animal kept its English name, the meat got a French one

<!-- fold The tree, 13 words -->
```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:o1:1
# text = Yes: the animal kept its English name, the meat got a French one
1	Yes	yes	INTJ	UH	Polarity=Pos	5	discourse	_	SpaceAfter=No
2	:	:	PUNCT	:	_	5	punct	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	animal	animal	NOUN	NN	Number=Sing	5	nsubj	_	_
5	kept	keep	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
6	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
7	English	English	ADJ	JJ	Degree=Pos	8	amod	_	_
8	name	name	NOUN	NN	Number=Sing	5	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	12	punct	_	_
10	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
11	meat	meat	NOUN	NN	Number=Sing	12	nsubj	_	_
12	got	get	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	conj	_	_
13	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
14	French	French	ADJ	JJ	Degree=Pos	15	amod	_	_
15	one	one	NOUN	NN	Number=Sing	12	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **keep** | past | the animal | animal's English name |  |  |  |  | vn keep-15.2 «NP V NP»: agent=Agent name=Theme |
| 2 | **get** | past | the meat | a French one |  |  |  |  | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer one=Stimulus |
| 3 | **name** |  | animal |  |  |  |  |  | nom name «communication transitive»: poss=agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
No: both words are English

```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:o2:1
# text = No: both words are English
1	No	no	DET	DT	PronType=Neg	6	det	_	SpaceAfter=No
2	:	:	PUNCT	:	_	6	punct	_	_
3	both	both	DET	DT	PronType=Tot	4	det	_	_
4	words	word	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	English	English	PROPN	NNP	Number=Sing	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | both words | no English |  |  |  |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
No: both words are French

```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:o3:1
# text = No: both words are French
1	No	no	DET	DT	PronType=Neg	6	det	_	SpaceAfter=No
2	:	:	PUNCT	:	_	6	punct	_	_
3	both	both	DET	DT	PronType=Tot	4	det	_	_
4	words	word	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	French	French	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | both words |  |  |  |  | french *property* | tree rules |

### Option 4 {#o4}

<!-- .ven lang=en -->
Yes: but only in Ireland

```conllu
# sent_id = question:french:36-english-words-that-came-from-french:t2:o4:1
# text = Yes: but only in Ireland
1	Yes	yes	INTJ	UH	Polarity=Pos	6	discourse	_	SpaceAfter=No
2	:	:	PUNCT	:	_	1	punct	_	_
3	but	but	CCONJ	CC	_	6	cc	_	_
4	only	only	ADV	RB	_	6	advmod	_	_
5	in	in	ADP	IN	_	6	case	_	_
6	Ireland	Ireland	PROPN	NNP	Number=Sing	0	root	_	_
```

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

<!-- 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: [English words that came from French, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/french/36-english-words-that-came-from-french/t1/)
- next →: [English words that came from French, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/french/36-english-words-that-came-from-french/t3/)
- ↑ back to [English words that came from French](https://md.mova.elamur.ai/free/en/corpora/questions/french/36-english-words-that-came-from-french/)