--- title: The first paragraph tells who, what, when and where: «Nine-year-old… — Persuasive letters, newspaper articles and diaries · tree and pragmatics description: The first paragraph tells who, what, when and where: «Nine-year-old Ella Brown rescued six ducklings from a drain on Monday.» Quotes like «"It was terrifying," said Mrs Patel» give real people's words and make the report feel true. Who acts: first paragraph, old Ella Brown, paragraph, Mrs. A sentenc --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/english/24-persuasive-letters-newspaper-articles-and-diaries/10/) [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/) / [English](https://md.mova.elamur.ai/free/en/corpora/school/english/) / [Persuasive letters, newspaper articles…](https://md.mova.elamur.ai/free/en/corpora/school/english/24-persuasive-letters-newspaper-articles-and-diaries/) / 10 # Persuasive letters, newspaper articles and diaries, sentence 10 The first paragraph tells who, what, when and where: «Nine-year-old Ella Brown rescued six ducklings from a drain on Monday.» Quotes like «"It was terrifying," said Mrs Patel» give real people's words and make the report feel true. **Who acts:** first paragraph, old Ella Brown, paragraph, Mrs, Quotes, report · **What happens:** tell, rescue, be, say, give, make · **To what, where:** six ducklings, drain, words, report · **Speech:** someone speaks here This is a sentence of the lesson «Persuasive letters, newspaper articles and diaries» of the english 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 (first paragraph, old Ella Brown, paragraph, Mrs), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:english:024-persuasive-letters-newspaper-articles-and-diaries.lesson:10 # text = The first paragraph tells who, what, when and where: «Nine-year-old Ella Brown rescued six ducklings from a drain on Monday.» Quotes like «"It was terrifying," said Mrs Patel» give real people's words and make the report feel true. # source = school lesson (ours) # course = english # lesson = 024-persuasive-letters-newspaper-articles-and-diaries.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 ×3, R7-rel-agree ×2 1 The the DET DT Definite=Def|PronType=Art 3 det _ _ 2 first first ADJ JJ Degree=Pos|NumForm=Word|NumType=Ord 3 amod _ _ 3 paragraph paragraph NOUN NN Number=Sing 4 nsubj _ _ 4 tells tell VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 who who PRON WP PronType=Rel 4 obj _ _ 6 , , PUNCT , _ 7 punct _ _ 7 what what PRON WP PronType=Int 5 conj _ _ 8 , , PUNCT , _ 9 punct _ Agree=R6-punct-agree|Haiku=11:punct 9 when when ADV WRB PronType=Int 11 advmod _ _ 10 and and CCONJ CC _ 11 cc _ _ 11 where where ADV WRB PronType=Rel 5 conj _ _ 12 : : PUNCT : _ 13 punct _ _ 13 « « PUNCT `` _ 21 punct _ Agree=R6-punct-agree|Haiku=4:punct 14 Nine nine NUM CD NumForm=Word|NumType=Card 16 nummod _ _ 15 - - PUNCT HYPH _ 14 punct _ _ 16 year year NOUN NN Number=Sing 18 obl:unmarked _ _ 17 - - PUNCT HYPH _ 16 punct _ _ 18 old old ADJ JJ Degree=Pos 20 amod _ _ 19 Ella Ella PROPN NNP Number=Sing 20 compound _ _ 20 Brown Brown PROPN NNP Number=Sing 21 nsubj _ _ 21 rescued rescue VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 ccomp _ Agree=R7-rel-agree|Haiku=4:parataxis 22 six six NUM CD NumForm=Word|NumType=Card 23 nummod _ _ 23 ducklings duckling NOUN NNS Number=Plur 21 obj _ _ 24 from from ADP IN _ 26 case _ _ 25 a a DET DT Definite=Ind|PronType=Art 26 det _ _ 26 drain drain NOUN NN Number=Sing 21 obl _ _ 27 on on ADP IN _ 28 case _ _ 28 Monday Monday PROPN NNP Number=Sing 21 obl _ Agree=R5-strong|Haiku=26:nmod 29 . . PUNCT . _ 4 punct _ _ 30 » » PUNCT '' _ 21 punct _ _ 31 Quotes quote NOUN NNS Number=Plur 44 nsubj _ _ 32 like like ADP IN _ 37 mark _ Agree=R7-rel-agree|Haiku=37:case 33 « « PUNCT `` _ 37 punct _ Agree=R6-punct-agree|Haiku=31:punct 34 " " PUNCT `` _ 37 punct _ _ 35 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 37 nsubj _ _ 36 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 37 cop _ _ 37 terrifying terrifying ADJ JJ Degree=Pos 31 parataxis _ _ 38 , , PUNCT , _ 37 punct _ _ 39 " " PUNCT '' _ 37 punct _ _ 40 said say VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 37 parataxis _ _ 41 Mrs Mrs PROPN NNP Number=Sing 40 nsubj _ _ 42 Patel Patel PROPN NNP Number=Sing 41 flat _ _ 43 » » PUNCT '' _ 44 punct _ _ 44 give give VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 parataxis _ _ 45 real real ADJ JJ Degree=Pos 46 amod _ _ 46 people people NOUN NNS Number=Plur 48 nmod:poss _ _ 47 's 's PART POS _ 46 case _ _ 48 words word NOUN NNS Number=Plur 44 obj _ _ 49 and and CCONJ CC _ 50 cc _ _ 50 make make VERB VB VerbForm=Inf 44 conj _ _ 51 the the DET DT Definite=Def|PronType=Art 52 det _ _ 52 report report NOUN NN Number=Sing 50 obj _ _ 53 feel feel VERB VB VerbForm=Inf 50 xcomp _ _ 54 true true ADJ JJ Degree=Pos 53 xcomp _ _ 55 . . PUNCT . _ 4 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **tell** *speech: assert* | present | the first paragraph | | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP S»: agent=Agent who=Recipient clause=Topic | | 2 | **rescue** *in a quote* | past | old Ella Brown | six ducklings | | a drain | monday | | vn steal-10.5 «NP V NP PP.source»: agent=Agent duckling=Theme from drain=Source | | 3 | **is** | past | paragraph | | | | | terrifying *property* | tree rules | | 4 | **say** *speech: assert* *in a quote* | past | Mrs | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent | | 5 | **give** | present | Quotes | real people's words | | | | | vn give-13.1-1 «NP V NP»: agent=Agent word=Theme | | 6 | **make** | infinitive | Quotes *not said here* | the report | | | | | tree rules | | 7 | **feel** | infinitive | the report *not said here* | | | | | true *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus | | 8 | **word** | | real people | | | | | | nom word «communication transitive»: poss=agent | 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. **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:english:024-persuasive-letters-newspaper-articles-and-diaries.lesson:10`. **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 ×3, R7-rel-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/). - ← previous: [Persuasive letters, newspaper articles…, 9](https://md.mova.elamur.ai/free/en/corpora/school/english/24-persuasive-letters-newspaper-articles-and-diaries/9/) - next →: [Persuasive letters, newspaper articles…, 11](https://md.mova.elamur.ai/free/en/corpora/school/english/24-persuasive-letters-newspaper-articles-and-diaries/11/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/english/24-persuasive-letters-newspaper-articles-and-diaries/)