---
title: The scholar al-Khwarizmi wrote a famous book on solving equations; t… — The Islamic golden age and the wider medieval wo… · tree and pragmatics
description: The scholar al-Khwarizmi wrote a famous book on solving equations; the word algebra comes from its title and the word algorithm comes from his name; an algorithm is a list of steps for solving a problem, and every computer program runs on algorithms. Who acts: scholar, word, word algorithm, algorith
---

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# The Islamic golden age and the wider medieval world, sentence 9

<!-- .ven lang=en -->
The scholar al-Khwarizmi wrote a famous book on solving equations; the word algebra comes from its title and the word algorithm comes from his name; an algorithm is a list of steps for solving a problem, and every computer program runs on algorithms.

<!-- .vintro -->
**Who acts:** scholar, word, word algorithm, algorithm, steps, computer program · **What happens:** write, solve, come, be, run, title · **To what, where:** famous book, solving equations, title, name, list, problem

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This is a sentence of the lesson «The Islamic golden age and the wider medieval world» of the history 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 (scholar, word, word algorithm, algorithm), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:history:022-the-islamic-golden-age-and-the-wider-medieval-world.lesson:9
# text = The scholar al-Khwarizmi wrote a famous book on solving equations; the word algebra comes from its title and the word algorithm comes from his name; an algorithm is a list of steps for solving a problem, and every computer program runs on algorithms.
# source = school lesson (ours)
# course = history
# lesson = 022-the-islamic-golden-age-and-the-wider-medieval-world.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 ×3
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	scholar	scholar	NOUN	NN	Number=Sing	6	nsubj	_	_
3	al	Al	PROPN	NNP	Number=Sing	2	appos	_	_
4	-	-	PUNCT	HYPH	_	5	punct	_	_
5	Khwarizmi	Khwarizmi	PROPN	NNP	Number=Sing	3	flat	_	_
6	wrote	write	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	famous	famous	ADJ	JJ	Degree=Pos	9	amod	_	_
9	book	book	NOUN	NN	Number=Sing	6	obj	_	_
10	on	on	ADP	IN	_	12	case	_	_
11	solving	solve	VERB	VBG	VerbForm=Ger	12	amod	_	_
12	equations	equation	NOUN	NNS	Number=Plur	9	nmod	_	_
13	;	;	PUNCT	,	_	17	punct	_	_
14	the	the	DET	DT	Definite=Def|PronType=Art	15	det	_	Agree=R5-strong|Haiku=16:det
15	word	word	NOUN	NN	Number=Sing	17	nsubj	_	Agree=R5-strong|Haiku=16:compound
16	algebra	algebra	NOUN	NN	Number=Sing	15	appos	_	Agree=R5-strong|Haiku=17:nsubj
17	comes	come	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	parataxis	_	_
18	from	from	ADP	IN	_	20	case	_	_
19	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	20	nmod:poss	_	_
20	title	title	NOUN	NN	Number=Sing	17	obl	_	_
21	and	and	CCONJ	CC	_	25	cc	_	_
22	the	the	DET	DT	Definite=Def|PronType=Art	24	det	_	_
23	word	word	NOUN	NN	Number=Sing	24	compound	_	_
24	algorithm	algorithm	NOUN	NN	Number=Sing	25	nsubj	_	_
25	comes	come	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	17	conj	_	_
26	from	from	ADP	IN	_	28	case	_	_
27	his	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	28	nmod:poss	_	_
28	name	name	NOUN	NN	Number=Sing	25	obl	_	_
29	;	;	PUNCT	,	_	34	punct	_	_
30	an	a	DET	DT	Definite=Ind|PronType=Art	31	det	_	_
31	algorithm	algorithm	NOUN	NN	Number=Sing	34	nsubj	_	_
32	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	34	cop	_	_
33	a	a	DET	DT	Definite=Ind|PronType=Art	34	det	_	_
34	list	list	NOUN	NN	Number=Sing	6	parataxis	_	_
35	of	of	ADP	IN	_	36	case	_	_
36	steps	step	NOUN	NNS	Number=Plur	34	nmod	_	_
37	for	for	SCONJ	IN	_	38	mark	_	_
38	solving	solve	VERB	VBG	VerbForm=Ger	36	acl	_	_
39	a	a	DET	DT	Definite=Ind|PronType=Art	40	det	_	_
40	problem	problem	NOUN	NN	Number=Sing	38	obj	_	_
41	,	,	PUNCT	,	_	46	punct	_	_
42	and	and	CCONJ	CC	_	46	cc	_	_
43	every	every	DET	DT	PronType=Tot	45	det	_	_
44	computer	computer	NOUN	NN	Number=Sing	45	compound	_	_
45	program	program	NOUN	NN	Number=Sing	46	nsubj	_	_
46	runs	run	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	34	conj	_	_
47	on	on	ADP	IN	_	48	case	_	_
48	algorithms	algorithm	NOUN	NNS	Number=Plur	46	obl	_	_
49	.	.	PUNCT	.	_	6	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 | **write** | past | the scholar | a famous book |  | solving equations |  |  | vn scribble-25.2-1 «NP V NP PP.destination»: agent=Agent book=Theme on equation=Destination |
| 2 | **solve** | gerund |  |  |  |  |  |  | vn discover-84 «NP V how S»: agent=Agent |
| 3 | **come** | present | the word |  |  | word's title |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from title=Initial\_Location |
| 4 | **come** | present | the word algorithm |  |  | algorithm's name |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from name=Initial\_Location |
| 5 | **is a** | present | a algorithm | a list |  |  |  | of steps | tree rules |
| 6 | **solve** | gerund | steps *not said here* | a problem |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent problem=Topic |
| 7 | **run** | present | every computer program |  |  | algorithms |  |  | vn run-51.3.2-2-1 «NP V PP.location»: agent=Theme on algorithm=Trajectory |
| 8 | **title** |  | word |  |  |  |  |  | nom title «communication transitive»: poss=agent |
| 9 | **name** |  | algorithm |  |  |  |  |  | nom name «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:history:022-the-islamic-golden-age-and-the-wider-medieval-world.lesson:9`.

**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 ×3. **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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