--- title: Start with the history pictures that went wrong: it was reported tha… — In the news: deepfakes, fake robocalls and histo… · tree and pragmatics description: Start with the history pictures that went wrong: it was reported that the makers set rules to make pictures more varied, and the rules were applied even where history was clear, like a teacher's rule "everyone gets a turn" used in a race where only one person can win. Who acts: you, history pictures --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/1/) [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/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [In the news: deepfakes, fake robocalls…](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/) / 1 # In the news: deepfakes, fake robocalls and history gone wrong, sentence 1 Start with the history pictures that went wrong: it was reported that the makers set rules to make pictures more varied, and the rules were applied even where history was clear, like a teacher's rule "everyone gets a turn" used in a race where only one person can win. **Who acts:** you, history pictures, makers, history, everyone, one person · **What happens:** start, go, report, set, make, apply · **To what, where:** it, rules, pictures, turn, race This is a sentence of the lesson «In the news: deepfakes, fake robocalls and history gone wrong» of the ai 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 (you, history pictures, makers, history), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:021-news-deepfakes-history.lesson:1 # text = Start with the history pictures that went wrong: it was reported that the makers set rules to make pictures more varied, and the rules were applied even where history was clear, like a teacher's rule "everyone gets a turn" used in a race where only one person can win. # source = school lesson (ours) # course = ai # lesson = 021-news-deepfakes-history.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, R7-rel-agree ×2 1 Start start VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 with with ADP IN _ 5 case _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 history history NOUN NN Number=Sing 5 compound _ _ 5 pictures picture NOUN NNS Number=Plur 1 obl _ _ 6 that that PRON WDT PronType=Rel 7 nsubj _ _ 7 went go VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 5 acl:relcl _ _ 8 wrong wrong ADJ JJ Degree=Pos 7 xcomp _ _ 9 : : PUNCT : _ 12 punct _ _ 10 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 12 nsubj:pass _ _ 11 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 12 aux:pass _ _ 12 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 1 parataxis _ Agree=R7-rel-agree|Haiku=1:advcl 13 that that SCONJ IN _ 16 mark _ _ 14 the the DET DT Definite=Def|PronType=Art 15 det _ _ 15 makers maker NOUN NNS Number=Plur 16 nsubj _ _ 16 set set VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 12 ccomp _ _ 17 rules rule NOUN NNS Number=Plur 16 obj _ _ 18 to to PART TO _ 19 mark _ _ 19 make make VERB VB VerbForm=Inf 16 advcl _ _ 20 pictures picture NOUN NNS Number=Plur 19 obj _ _ 21 more more ADV RBR Degree=Cmp 22 advmod _ _ 22 varied varied ADJ JJ Degree=Pos 19 xcomp _ _ 23 , , PUNCT , _ 28 punct _ _ 24 and and CCONJ CC _ 28 cc _ _ 25 the the DET DT Definite=Def|PronType=Art 26 det _ _ 26 rules rule NOUN NNS Number=Plur 28 nsubj:pass _ _ 27 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 28 aux:pass _ _ 28 applied apply VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 1 advcl _ _ 29 even even ADV RB _ 33 advmod _ _ 30 where where ADV WRB PronType=Rel 33 advmod _ _ 31 history history NOUN NN Number=Sing 33 nsubj _ _ 32 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 33 cop _ _ 33 clear clear ADJ JJ Degree=Pos 28 advcl _ Agree=R7-rel-agree|Haiku=28:parataxis 34 , , PUNCT , _ 42 punct _ _ 35 like like ADP IN _ 39 case _ _ 36 a a DET DT Definite=Ind|PronType=Art 37 det _ _ 37 teacher teacher NOUN NN Number=Sing 39 nmod:poss _ _ 38 's 's PART POS _ 37 case _ _ 39 rule rule NOUN NN Number=Sing 33 obl _ _ 40 " " PUNCT `` _ 42 punct _ Agree=R6-punct-agree|Haiku=39:punct|HaikuPos=PUNCT:'':_ 41 everyone everyone PRON NN Number=Sing|PronType=Tot 42 nsubj _ _ 42 gets get VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 39 appos _ Agree=R5-strong|Haiku=28:advcl 43 a a DET DT Definite=Ind|PronType=Art 44 det _ _ 44 turn turn NOUN NN Number=Sing 42 obj _ _ 45 " " PUNCT '' _ 44 punct _ _ 46 used use VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 44 acl _ _ 47 in in ADP IN _ 49 case _ _ 48 a a DET DT Definite=Ind|PronType=Art 49 det _ _ 49 race race NOUN NN Number=Sing 46 obl _ _ 50 where where ADV WRB PronType=Rel 55 advmod _ _ 51 only only ADV RB _ 52 advmod _ _ 52 one one NUM CD NumForm=Word|NumType=Card 53 nummod _ _ 53 person person NOUN NN Number=Sing 55 nsubj _ _ 54 can can AUX MD VerbForm=Fin 55 aux _ _ 55 win win VERB VB VerbForm=Inf 49 acl:relcl _ _ 56 . . PUNCT . _ 1 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: changed voice=narrator | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **start** | imperative | you *not said here* | | | | | with the history pictures | vn begin-55.1-1-1 «NP V PP.subeventuality»: agent=Eventuality with picture=Subeventuality | | 2 | **go** | past | the history pictures | | | | | wrong *property* | vn disappearance-48.2-1 «NP V»: agent=Theme | | 3 | **report** | past · passive | | it | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 4 | **set** | past | the makers | rules | | | | | vn other\_cos-45.4-1 «NP V NP ADJ»: agent=Patient rule=Result | | 5 | **make** | to-infinitive | the makers *not said here* | pictures | | | | varied *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset picture=Product | | 6 | **apply** | past · passive | | the rules | | | | | vn use-105.1 «NP V NP»: subject=Theme | | 7 | **is** | past | history | | | | | like a teacher's rule; clear *property* | tree rules | | 8 | **get** *in a quote* | present | everyone | a turn | | | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer turn=Stimulus | | 9 | **use** | participle | | a turn *not said here* | | a race | | | vn eat-39.1 «NP V»: agent=Agent | | 10 | **win** | can | one person | | | | | | vn succeed-74-2 «NP V»: agent=Agent | | 11 | **rule** | | a teacher | | | | | | nom rule «cognition intransitive»: 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:ai:021-news-deepfakes-history.lesson:1`. **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, 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: [In the news: deepfakes, fake robocalls…, 0](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/0/) - next →: [In the news: deepfakes, fake robocalls…, 2](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/2/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/)