---
title: You already know thousands of French words without knowing it: menu,… — English words that came from French · tree and pragmatics
description: You already know thousands of French words without knowing it: menu, restaurant, café, ballet, garage and souvenir all came into English from French. Who acts: You, garage. A sentence of the lesson «English words that came from French» of the french course of Mova's primary school with its dependenc
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/french/36-english-words-that-came-from-french/0/)

<!-- 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/) / [French](https://md.mova.elamur.ai/free/en/corpora/school/french/) / [English words that came from French](https://md.mova.elamur.ai/free/en/corpora/school/french/36-english-words-that-came-from-french/) / 0

# English words that came from French, sentence 0

<!-- .ven lang=en -->
You already know thousands of French words without knowing it: menu, restaurant, café, ballet, garage and souvenir all came into English from French.

<!-- .vintro -->
**Who acts:** You, garage · **What happens:** know, come · **To what, where:** thousands, it, English

<!-- .vabout -->
This is a sentence of the lesson «English words that came from French» of the french 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 (You, garage), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:french:036-english-words-that-came-from-french.lesson:0
# text = You already know thousands of French words without knowing it: menu, restaurant, café, ballet, garage and souvenir all came into English from French.
# source = school lesson (ours)
# course = french
# lesson = 036-english-words-that-came-from-french.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): R3-conj-first ×1
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	3	nsubj	_	_
2	already	already	ADV	RB	_	3	advmod	_	_
3	know	know	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	0	root	_	_
4	thousands	thousand	NOUN	NNS	Number=Plur	3	obj	_	_
5	of	of	ADP	IN	_	7	case	_	_
6	French	French	ADJ	JJ	Degree=Pos	7	amod	_	_
7	words	word	NOUN	NNS	Number=Plur	4	nmod	_	_
8	without	without	SCONJ	IN	_	9	mark	_	_
9	knowing	know	VERB	VBG	Tense=Pres|VerbForm=Part	3	advcl	_	_
10	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	9	obj	_	_
11	:	:	PUNCT	:	_	12	punct	_	_
12	menu	menu	NOUN	NN	Number=Sing	3	ccomp	_	_
13	,	,	PUNCT	,	_	14	punct	_	_
14	restaurant	restaurant	NOUN	NN	Number=Sing	12	conj	_	_
15	,	,	PUNCT	,	_	16	punct	_	_
16	café	café	NOUN	NN	Number=Sing	12	conj	_	_
17	,	,	PUNCT	,	_	18	punct	_	_
18	ballet	ballet	NOUN	NN	Number=Sing	12	conj	_	_
19	,	,	PUNCT	,	_	20	punct	_	_
20	garage	garage	NOUN	NN	Number=Sing	12	conj	_	_
21	and	and	CCONJ	CC	_	22	cc	_	_
22	souvenir	souvenir	NOUN	NN	Number=Sing	12	conj	_	Agree=R3-conj-first|Haiku=20:conj
23	all	all	DET	DT	PronType=Tot	24	advmod	_	_
24	came	come	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	20	acl:relcl	_	_
25	into	into	ADP	IN	_	26	case	_	_
26	English	English	PROPN	NNP	Number=Sing	24	obl	_	_
27	from	from	ADP	IN	_	28	case	_	_
28	French	French	PROPN	NNP	Number=Sing	24	obl	_	_
29	.	.	PUNCT	.	_	3	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 | **know** | present | You | thousands of French words |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer thousand=Stimulus |
| 2 | **know** | gerund | You *not said here* | it |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer it=Stimulus |
| 3 | **come** | past | garage *not said here* |  |  | English |  | from French | vn escape-51.1-1 «NP V PP.initial\_location PP.destination»: agent=Theme into english=Initial\_Location from french=Destination |

<!-- .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:french:036-english-words-that-came-from-french.lesson:0`.

**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): R3-conj-first ×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: [False friends, 16](https://md.mova.elamur.ai/free/en/corpora/school/french/35-false-friends/16/)
- next →: [English words that came from French, 1](https://md.mova.elamur.ai/free/en/corpora/school/french/36-english-words-that-came-from-french/1/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/french/36-english-words-that-came-from-french/)

