--- title: Good questions for any animal story are: who first reported it, is t… — Animals in the news: true stories, fakes and how… · tree and pragmatics description: Good questions for any animal story are: who first reported it, is there a photo from the real place and day, do scientists say the same, and do the numbers mean what the headline says? Who acts: Good questions, photo, scientists, numbers. A sentence of the lesson «Animals in the news: true stories, --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/3/) [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/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/school/biology/) / [Animals in the news: true stories, fak…](https://md.mova.elamur.ai/free/en/corpora/school/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/) / 3 # Animals in the news: true stories, fakes and how to read them, sentence 3 Good questions for any animal story are: who first reported it, is there a photo from the real place and day, do scientists say the same, and do the numbers mean what the headline says? **Who acts:** Good questions, photo, scientists, numbers, headline · **What happens:** be, report, say, mean · **To what, where:** school, same · **Speech:** someone speaks here This is a sentence of the lesson «Animals in the news: true stories, fakes and how to read them» of the biology 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 (Good questions, photo, scientists, numbers), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.lesson:3 # text = Good questions for any animal story are: who first reported it, is there a photo from the real place and day, do scientists say the same, and do the numbers mean what the headline says? # source = school lesson (ours) # course = biology # lesson = 296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.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 ×1, R8-pos-agree ×1 1 Good good ADJ JJ Degree=Pos 2 amod _ _ 2 questions question NOUN NNS Number=Plur 7 nsubj _ _ 3 for for ADP IN _ 6 case _ _ 4 any any DET DT PronType=Ind 6 det _ _ 5 animal animal NOUN NN Number=Sing 6 compound _ _ 6 story story NOUN NN Number=Sing 2 nmod _ _ 7 are be VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 8 : : PUNCT : _ 7 punct _ _ 9 who who PRON WP PronType=Rel 11 nsubj _ _ 10 first first ADV RB NumForm=Word|NumType=Ord 11 advmod _ _ 11 reported report VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 7 parataxis _ _ 12 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 11 obj _ _ 13 , , PUNCT , _ 14 punct _ _ 14 is be VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 11 conj _ _ 15 there there PRON EX PronType=Dem 14 expl _ _ 16 a a DET DT Definite=Ind|PronType=Art 17 det _ _ 17 photo photo NOUN NN Number=Sing 14 nsubj _ Agree=R5-strong|Haiku=27:nsubj 18 from from ADP IN _ 21 case _ _ 19 the the DET DT Definite=Def|PronType=Art 21 det _ _ 20 real real ADJ JJ Degree=Pos 21 amod _ _ 21 place place NOUN NN Number=Sing 17 nmod _ _ 22 and and CCONJ CC _ 23 cc _ _ 23 day day NOUN NN Number=Sing 21 conj _ _ 24 , , PUNCT , _ 27 punct _ Agree=R6-punct-agree|Haiku=26:punct 25 do do AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 27 aux _ _ 26 scientists scientist NOUN NNS Number=Plur 27 nsubj _ _ 27 say say VERB VB VerbForm=Inf 14 conj _ _ 28 the the DET DT Definite=Def|PronType=Art 29 det _ _ 29 same same ADJ JJ Degree=Pos 27 obj _ _ 30 , , PUNCT , _ 35 punct _ _ 31 and and CCONJ CC _ 35 cc _ _ 32 do do AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 35 aux _ _ 33 the the DET DT Definite=Def|PronType=Art 34 det _ _ 34 numbers number NOUN NNS Number=Plur 35 nsubj _ _ 35 mean mean VERB VB VerbForm=Inf 27 conj _ Agree=R8-pos-agree|Haiku=27:conj|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 36 what what PRON WP PronType=Int 39 obj _ _ 37 the the DET DT Definite=Def|PronType=Art 38 det _ _ 38 headline headline NOUN NN Number=Sing 39 nsubj _ _ 39 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 35 ccomp _ _ 40 ? ? PUNCT . _ 7 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **does** | present | Good questions for any animal story | | | | | | vn exist-47.1 «NP V»: agent=Theme | | 2 | **report** | past | | school | | | | first *property* | vn prosecute-33.2 «NP V NP»: agent=Agent it=Patient | | 3 | **be** | present | a photo from the real place and day | | | there | | | vn exist-47.1 «NP V»: agent=Theme | | 4 | **say** *speech: assert* | present · do-support | scientists | the same | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent same=Topic | | 5 | **mean** | present · do-support | the numbers | | | | | | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic | | 6 | **say** *speech: assert* | present | the headline | | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | 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:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.lesson:3`. **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 ×1, R8-pos-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/). - ← previous: [Animals in the news: true stories, fak…, 2](https://md.mova.elamur.ai/free/en/corpora/school/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/2/) - next →: [Animals in the news: true stories, fak…, 4](https://md.mova.elamur.ai/free/en/corpora/school/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/)