---
title: English took many food words from French, like menu, restaurant, caf… — Borrowed words: French, Norse and Latin · tree and pragmatics
description: English took many food words from French, like menu, restaurant, café, croissant, baguette and chef; "chef" means "chief" or "head" in French. Who acts: English, chef. A sentence of the lesson «Borrowed words: French, Norse and Latin» of the language course of Mova's primary school with its dependen
---

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# Borrowed words: French, Norse and Latin, sentence 15

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English took many food words from French, like menu, restaurant, café, croissant, baguette and chef; "chef" means "chief" or "head" in French.

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**Who acts:** English, chef · **What happens:** take, mean · **To what, where:** many food words, French, chief

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This is a sentence of the lesson «Borrowed words: French, Norse and Latin» of the language 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 (English, chef), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:language:023-borrowed-words-french-norse-and-latin.lesson:15
# text = English took many food words from French, like menu, restaurant, café, croissant, baguette and chef; "chef" means "chief" or "head" in French.
# source = school lesson (ours)
# course = language
# lesson = 023-borrowed-words-french-norse-and-latin.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, R6-punct-agree ×1
1	English	English	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	took	take	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	many	many	ADJ	JJ	Degree=Pos	5	amod	_	_
4	food	food	NOUN	NN	Number=Sing	5	compound	_	_
5	words	word	NOUN	NNS	Number=Plur	2	obj	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	French	French	PROPN	NNP	Number=Sing	2	obl	_	_
8	,	,	PUNCT	,	_	10	punct	_	_
9	like	like	ADP	IN	_	10	case	_	_
10	menu	menu	NOUN	NN	Number=Sing	5	nmod	_	_
11	,	,	PUNCT	,	_	12	punct	_	_
12	restaurant	restaurant	NOUN	NN	Number=Sing	10	conj	_	_
13	,	,	PUNCT	,	_	14	punct	_	_
14	café	café	NOUN	NN	Number=Sing	10	conj	_	Agree=R3-conj-first|Haiku=12:conj
15	,	,	PUNCT	,	_	16	punct	_	_
16	croissant	croissant	NOUN	NN	Number=Sing	14	conj	_	_
17	,	,	PUNCT	,	_	18	punct	_	_
18	baguette	baguette	NOUN	NN	Number=Sing	14	conj	_	_
19	and	and	CCONJ	CC	_	20	cc	_	_
20	chef	chef	NOUN	NN	Number=Sing	18	conj	_	_
21	;	;	PUNCT	:	_	25	punct	_	_
22	"	"	PUNCT	``	_	23	punct	_	_
23	chef	chef	NOUN	NN	Number=Sing	25	nsubj	_	_
24	"	"	PUNCT	''	_	23	punct	_	_
25	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
26	"	"	PUNCT	``	_	27	punct	_	_
27	chief	chief	NOUN	NN	Number=Sing	25	obj	_	_
28	"	"	PUNCT	''	_	27	punct	_	_
29	or	or	CCONJ	CC	_	31	cc	_	_
30	"	"	PUNCT	``	_	31	punct	_	_
31	head	head	NOUN	NN	Number=Sing	27	conj	_	_
32	"	"	PUNCT	''	_	31	punct	_	Agree=R6-punct-agree|Haiku=27:punct
33	in	in	ADP	IN	_	34	case	_	_
34	French	French	PROPN	NNP	Number=Sing	25	obl	_	_
35	.	.	PUNCT	.	_	2	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 | **take** | past | English | many food words |  | French |  | like menu and restaurant and café and croissant and baguette and chef | vn bring-11.3 «NP V NP PP.initial\_location»: agent=Agent word=Theme from french=Initial\_Location |
| 2 | **mean** | present | chef | chief or head |  |  |  | in French | vn representation-110.1 «NP V NP PP.attribute»: agent=Pivot chief=Theme in french=Attribute |

<!-- .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.

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**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:language:023-borrowed-words-french-norse-and-latin.lesson:15`.

**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, 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/).

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- next →: [Borrowed words: French, Norse and Latin, 16](https://md.mova.elamur.ai/free/en/corpora/school/language/23-borrowed-words-french-norse-and-latin/16/)
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