--- title: It was reported that a big company's image generator made historical… — In the news: invented court cases and an airline… · tree and pragmatics description: It was reported that a big company's image generator made historically wrong pictures, because its makers' rules were applied even where they did not fit; people criticised it, and the company paused the feature. Who acts: image generator, pictures, people, company. A sentence of the lesson «In the --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/16/) [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: invented court cases and…](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/) / 16 # In the news: invented court cases and an airline's chatbot, sentence 16 It was reported that a big company's image generator made historically wrong pictures, because its makers' rules were applied even where they did not fit; people criticised it, and the company paused the feature. **Who acts:** image generator, pictures, people, company, makers · **What happens:** report, make, apply, not fit, criticise, pause · **To what, where:** rule, wrong pictures, rules, feature This is a sentence of the lesson «In the news: invented court cases and an airline's chatbot» 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 (image generator, pictures, people, company), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:020-news-court-cases-airline.lesson:16 # text = It was reported that a big company's image generator made historically wrong pictures, because its makers' rules were applied even where they did not fit; people criticised it, and the company paused the feature. # source = school lesson (ours) # course = ai # lesson = 020-news-court-cases-airline.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): R2-punct-next ×1, R5-strong ×2 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 3 nsubj:pass _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 aux:pass _ _ 3 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 4 that that SCONJ IN _ 11 mark _ _ 5 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 6 big big ADJ JJ Degree=Pos 7 amod _ _ 7 company company NOUN NN Number=Sing 10 nmod:poss _ Agree=R5-strong|Haiku=9:nmod:poss 8 's 's PART POS _ 7 case _ _ 9 image image NOUN NN Number=Sing 10 compound _ _ 10 generator generator NOUN NN Number=Sing 11 nsubj _ _ 11 made make VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 ccomp _ _ 12 historically historically ADV RB _ 13 advmod _ Agree=R5-strong|Haiku=14:advmod 13 wrong wrong ADJ JJ Degree=Pos 14 amod _ _ 14 pictures picture NOUN NNS Number=Plur 11 obj _ _ 15 , , PUNCT , _ 22 punct _ _ 16 because because SCONJ IN _ 22 mark _ _ 17 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 18 nmod:poss _ _ 18 makers maker NOUN NNS Number=Plur 20 nmod:poss _ _ 19 ' 's PART POS _ 18 case _ _ 20 rules rule NOUN NNS Number=Plur 22 nsubj:pass _ _ 21 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 22 aux:pass _ _ 22 applied apply VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 11 advcl _ _ 23 even even ADV RB _ 24 advmod _ _ 24 where where ADV WRB PronType=Rel 28 advmod _ _ 25 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 28 nsubj _ _ 26 did do AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 28 aux _ _ 27 not not PART RB Polarity=Neg 28 advmod _ _ 28 fit fit VERB VB VerbForm=Inf 22 advcl _ _ 29 ; ; PUNCT , _ 31 punct _ Agree=R2-punct-next|Haiku=3:punct 30 people people NOUN NNS Number=Plur 31 nsubj _ _ 31 criticised criticise VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 32 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 31 obj _ _ 33 , , PUNCT , _ 37 punct _ _ 34 and and CCONJ CC _ 31 cc _ _ 35 the the DET DT Definite=Def|PronType=Art 36 det _ _ 36 company company NOUN NN Number=Sing 37 nsubj _ _ 37 paused pause VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 38 the the DET DT Definite=Def|PronType=Art 39 det _ _ 39 feature feature NOUN NN Number=Sing 37 obj _ _ 40 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **report** | past · passive | | rule | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 2 | **make** | past | a big company's image generator | wrong pictures | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset picture=Product | | 3 | **apply** | past · passive | | rule's makers's rules | | | | | vn use-105.1 «NP V NP»: subject=Theme | | 4 | **not** **fit** | past · do-support | pictures *= picture* | | | | | | vn adjust-26.9 «NP V S\_ING»: agent=Agent | | 5 | **criticise** | past | people | rule | | | | | tree rules | | 6 | **pause** | past | the company | the feature | | | | | tree rules | | 7 | **rule** | | rule's makers | | | | | | 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:020-news-court-cases-airline.lesson:16`. **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): R2-punct-next ×1, R5-strong ×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: invented court cases and…, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/15/) - next →: [In the news: deepfakes, fake robocalls…, 0](https://md.mova.elamur.ai/free/en/corpora/school/ai/21-news-deepfakes-history/0/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/20-news-court-cases-airline/)