--- title: Some films join shots of several similar animals to tell the story o… — Documentaries vs cartoons: added sounds, edited… · tree and pragmatics description: Some films join shots of several similar animals to tell the story of one, because it is hard to follow one wild animal everywhere for a year; good films tell you when they do. Who acts: films, good films. A sentence of the lesson «Documentaries vs cartoons: added sounds, edited stories and what is --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/14/) [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/) / [Documentaries vs cartoons: added sound…](https://md.mova.elamur.ai/free/en/corpora/school/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/) / 14 # Documentaries vs cartoons: added sounds, edited stories and what is real, sentence 14 Some films join shots of several similar animals to tell the story of one, because it is hard to follow one wild animal everywhere for a year; good films tell you when they do. **Who acts:** films, good films · **What happens:** join, tell, be, follow · **To what, where:** shots, story, one wild animal, you · **Speech:** someone speaks here This is a sentence of the lesson «Documentaries vs cartoons: added sounds, edited stories and what is real» 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 (films, good films), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real.lesson:14 # text = Some films join shots of several similar animals to tell the story of one, because it is hard to follow one wild animal everywhere for a year; good films tell you when they do. # source = school lesson (ours) # course = biology # lesson = 395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real.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, R7-rel-agree ×3 1 Some some DET DT PronType=Ind 2 det _ _ 2 films film NOUN NNS Number=Plur 3 nsubj _ _ 3 join join VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 shots shot NOUN NNS Number=Plur 3 obj _ _ 5 of of ADP IN _ 8 case _ _ 6 several several ADJ JJ Degree=Pos 8 amod _ _ 7 similar similar ADJ JJ Degree=Pos 8 amod _ _ 8 animals animal NOUN NNS Number=Plur 4 nmod _ _ 9 to to PART TO _ 10 mark _ _ 10 tell tell VERB VB VerbForm=Inf 3 advcl _ Agree=R5-strong|Haiku=8:acl 11 the the DET DT Definite=Def|PronType=Art 12 det _ _ 12 story story NOUN NN Number=Sing 10 obj _ _ 13 of of ADP IN _ 14 case _ _ 14 one one NUM CD NumForm=Word|NumType=Card 12 nmod _ _ 15 , , PUNCT , _ 19 punct _ _ 16 because because SCONJ IN _ 19 mark _ _ 17 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 19 expl _ _ 18 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 19 cop _ _ 19 hard hard ADJ JJ Degree=Pos 3 advcl _ _ 20 to to PART TO _ 21 mark _ _ 21 follow follow VERB VB VerbForm=Inf 19 csubj _ Agree=R7-rel-agree|Haiku=19:xcomp 22 one one NUM CD NumForm=Word|NumType=Card 24 nummod _ _ 23 wild wild ADJ JJ Degree=Pos 24 amod _ _ 24 animal animal NOUN NN Number=Sing 21 obj _ _ 25 everywhere everywhere ADV RB PronType=Tot 21 advmod _ _ 26 for for ADP IN _ 28 case _ _ 27 a a DET DT Definite=Ind|PronType=Art 28 det _ _ 28 year year NOUN NN Number=Sing 21 obl _ _ 29 ; ; PUNCT , _ 32 punct _ _ 30 good good ADJ JJ Degree=Pos 31 amod _ _ 31 films film NOUN NNS Number=Plur 32 nsubj _ _ 32 tell tell VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 parataxis _ Agree=R7-rel-agree|Haiku=3:conj 33 you you PRON PRP Case=Acc|Person=2|PronType=Prs 32 iobj _ _ 34 when when ADV WRB PronType=Int 36 advmod _ _ 35 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 36 nsubj _ _ 36 do do AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 32 advcl _ Agree=R7-rel-agree|Haiku=32:ccomp|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 37 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **join** | present | some films | shots of several similar animals | | | | | vn mix-22.1-2-1 «NP V NP»: agent=Agent shot=Patient | | 2 | **tell** *speech: assert* | to-infinitive | some films *not said here* | the story of one | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent story=Recipient | | 3 | **is** | present | some films *not said here* | | | | | hard *property* | tree rules | | 4 | **follow** | to-infinitive | | one wild animal | | | year | everywhere *property* | vn chase-51.6 «NP V NP»: agent=Agent animal=Theme | | 5 | **tell** *speech: assert* | present | good films | | you | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent you=Recipient | 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:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real.lesson:14`. **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, R7-rel-agree ×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/). - ← previous: [Documentaries vs cartoons: added sound…, 13](https://md.mova.elamur.ai/free/en/corpora/school/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/13/) - next →: [Documentaries vs cartoons: added sound…, 15](https://md.mova.elamur.ai/free/en/corpora/school/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/15/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/)