---
title: After 1066 English kept its animal words (cow, pig, sheep) but took… — Borrowed words: French, Norse and Latin · tree and pragmatics
description: After 1066 English kept its animal words (cow, pig, sheep) but took French meat words: beef from "bœuf", pork from "porc", mutton from "mouton". Who acts: English, many. A sentence of the lesson «Borrowed words: French, Norse and Latin» of the language course of Mova's primary school with its depend
---

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# Borrowed words: French, Norse and Latin, sentence 5

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After 1066 English kept its animal words (cow, pig, sheep) but took French meat words: beef from "bœuf", pork from "porc", mutton from "mouton".

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**Who acts:** English, many · **What happens:** keep, take, word · **To what, where:** animal words, French meat words

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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, many), 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:5
# text = After 1066 English kept its animal words (cow, pig, sheep) but took French meat words: beef from "bœuf", pork from "porc", mutton from "mouton".
# 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): R5-strong ×1, R6-punct-agree ×2
1	After	after	ADP	IN	_	2	case	_	_
2	1066	1066	NUM	CD	NumForm=Digit|NumType=Card	4	obl	_	_
3	English	English	PROPN	NNP	Number=Sing	4	nsubj	_	_
4	kept	keep	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
6	animal	animal	NOUN	NN	Number=Sing	7	compound	_	_
7	words	word	NOUN	NNS	Number=Plur	4	obj	_	_
8	(	(	PUNCT	-LRB-	_	9	punct	_	_
9	cow	cow	NOUN	NN	Number=Sing	7	appos	_	_
10	,	,	PUNCT	,	_	11	punct	_	_
11	pig	pig	NOUN	NN	Number=Sing	9	conj	_	_
12	,	,	PUNCT	,	_	13	punct	_	_
13	sheep	sheep	NOUN	NNS	Number=Plur	9	conj	_	_
14	)	)	PUNCT	-RRB-	_	9	punct	_	_
15	but	but	CCONJ	CC	_	16	cc	_	_
16	took	take	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	conj	_	_
17	French	French	ADJ	JJ	Degree=Pos	19	amod	_	_
18	meat	meat	NOUN	NN	Number=Sing	19	compound	_	_
19	words	word	NOUN	NNS	Number=Plur	16	obj	_	_
20	:	:	PUNCT	:	_	21	punct	_	_
21	beef	beef	NOUN	NN	Number=Sing	19	appos	_	Agree=R5-strong|Haiku=4:obl
22	from	from	ADP	IN	_	24	case	_	_
23	"	"	PUNCT	``	_	24	punct	_	_
24	bœuf	bœuf	NOUN	NN	Number=Sing	21	nmod	_	_
25	"	"	PUNCT	''	_	24	punct	_	_
26	,	,	PUNCT	,	_	27	punct	_	_
27	pork	pork	NOUN	NN	Number=Sing	21	conj	_	_
28	from	from	ADP	IN	_	30	case	_	_
29	"	"	PUNCT	``	_	30	punct	_	_
30	porc	porc	NOUN	NN	Number=Sing	27	nmod	_	_
31	"	"	PUNCT	''	_	30	punct	_	Agree=R6-punct-agree|Haiku=27:punct
32	,	,	PUNCT	,	_	33	punct	_	_
33	mutton	mutton	NOUN	NN	Number=Sing	21	conj	_	_
34	from	from	ADP	IN	_	36	case	_	_
35	"	"	PUNCT	``	_	36	punct	_	_
36	mouton	mouton	NOUN	NN	Number=Sing	33	nmod	_	_
37	"	"	PUNCT	''	_	36	punct	_	Agree=R6-punct-agree|Haiku=33:punct
38	.	.	PUNCT	.	_	4	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 | **keep** | past | English | many's animal words |  |  | after 1066 |  | vn keep-15.2 «NP V NP»: agent=Agent word=Theme |
| 2 | **take** | past | English *not said here* | French meat words |  |  |  |  | vn bring-11.3 «NP V NP»: agent=Agent word=Theme |
| 3 | **word** |  | many |  |  |  |  |  | nom word «communication transitive»: poss=agent |

<!-- .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:5`.

**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): R5-strong ×1, R6-punct-agree ×2. **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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