--- title: It was reported that a song made with a cloned voice of a famous sin… — In the news: tricked bots, real discoveries, car… · tree and pragmatics description: It was reported that a song made with a cloned voice of a famous singer went viral and was then removed, and people argued about whether copying a voice is fair. Who acts: song, people, copying. A sentence of the lesson «In the news: tricked bots, real discoveries, careful words» of the ai course of --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/13/) [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: tricked bots, real discov…](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/) / 13 # In the news: tricked bots, real discoveries, careful words, sentence 13 It was reported that a song made with a cloned voice of a famous singer went viral and was then removed, and people argued about whether copying a voice is fair. **Who acts:** song, people, copying · **What happens:** report, make, clone, go, remove, argue · **To what, where:** control, song, voice This is a sentence of the lesson «In the news: tricked bots, real discoveries, careful words» 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 (song, people, copying), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:023-news-tricked-bots-discoveries.lesson:13 # text = It was reported that a song made with a cloned voice of a famous singer went viral and was then removed, and people argued about whether copying a voice is fair. # source = school lesson (ours) # course = ai # lesson = 023-news-tricked-bots-discoveries.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): R7-rel-agree ×1 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 _ 16 mark _ _ 5 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 6 song song NOUN NN Number=Sing 16 nsubj _ _ 7 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 acl _ _ 8 with with ADP IN _ 11 case _ _ 9 a a DET DT Definite=Ind|PronType=Art 11 det _ _ 10 cloned clone VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 11 amod _ _ 11 voice voice NOUN NN Number=Sing 7 obl _ _ 12 of of ADP IN _ 15 case _ _ 13 a a DET DT Definite=Ind|PronType=Art 15 det _ _ 14 famous famous ADJ JJ Degree=Pos 15 amod _ _ 15 singer singer NOUN NN Number=Sing 11 nmod _ _ 16 went go VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 ccomp _ _ 17 viral viral ADJ JJ Degree=Pos 16 xcomp _ _ 18 and and CCONJ CC _ 21 cc _ _ 19 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 21 aux:pass _ _ 20 then then ADV RB PronType=Dem 21 advmod _ _ 21 removed remove VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 16 conj _ _ 22 , , PUNCT , _ 25 punct _ _ 23 and and CCONJ CC _ 25 cc _ _ 24 people people NOUN NNS Number=Plur 25 nsubj _ _ 25 argued argue VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 conj _ _ 26 about about SCONJ IN _ 32 mark _ _ 27 whether whether SCONJ IN _ 32 mark _ _ 28 copying copy VERB VBG VerbForm=Ger 32 csubj _ _ 29 a a DET DT Definite=Ind|PronType=Art 30 det _ _ 30 voice voice NOUN NN Number=Sing 28 obj _ _ 31 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 32 cop _ _ 32 fair fair ADJ JJ Degree=Pos 25 advcl _ Agree=R7-rel-agree|Haiku=25:ccomp 33 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: narrate - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **report** | past · passive | | control | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 2 | **make** | participle | | a song *not said here* | | | | with a cloned voice of a famous singer | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 3 | **clone** | participle | | | | | | | tree rules | | 4 | **go** | past | a song | | | | | viral *property* | vn disappearance-48.2-1 «NP V»: agent=Theme | | 5 | **remove** | past · passive | a song *not said here* | | | | then | | vn fire-10.10 «NP V NP» | | 6 | **argue** *speech: disagree* | past | people | | | | | | vn correspond-36.1-1 «NP V»: agent=Agent | | 7 | **copy** | gerund | | a voice | | | | | vn scribble-25.2 «NP V NP»: agent=Agent voice=Theme | | 8 | **is** | present | copying | | | | | fair *property* | tree rules | 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:023-news-tricked-bots-discoveries.lesson:13`. **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): R7-rel-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: [In the news: tricked bots, real discov…, 12](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/12/) - next →: [In the news: tricked bots, real discov…, 14](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/14/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/)