Bots, troll farms and deepfakes in elections, sentence 15
Some cameras and apps are starting to add content labels that show whether a picture was made or changed with AI, though this is new.
Who acts: cameras, content labels, this · What happens: start, add, show, make, change, be · To what, where: content labels, picture · Speech: someone speaks here
This is a sentence of the lesson «Bots, troll farms and deepfakes in elections» of the politics 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 (cameras, content labels, this), what happens, when and where, as Mova's frames read it from the tree.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Some | some | DET | PronType=Ind | 2 cameras | det |
| 2 | cameras | camera | NOUN | Number=Plur | 6 starting | nsubj |
| 3 | and | and | CCONJ | _ | 4 apps | cc |
| 4 | apps | app | NOUN | Number=Plur | 2 cameras | conj |
| 5 | are | be | AUX | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 6 starting | aux |
| 6 | starting | start | VERB | Tense=Pres VerbForm=Part | root | root |
| 7 | to | to | PART | _ | 8 add | mark |
| 8 | add | add | VERB | VerbForm=Inf | 6 starting | xcomp |
| 9 | content | content | NOUN | Number=Sing | 10 labels | compound |
| 10 | labels | label | NOUN | Number=Plur | 8 add | obj |
| 11 | that | that | PRON | PronType=Rel | 12 show | nsubj |
| 12 | show | show | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 10 labels | acl:relcl |
| 13 | whether | whether | SCONJ | _ | 17 made | mark |
| 14 | a | a | DET | Definite=Ind PronType=Art | 15 picture | det |
| 15 | picture | picture | NOUN | Number=Sing | 17 made | nsubj:pass |
| 16 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 17 made | aux:pass |
| 17 | made | make | VERB | Tense=Past VerbForm=Part Voice=Pass | 12 show | ccomp |
| 18 | or | or | CCONJ | _ | 19 changed | cc |
| 19 | changed | change | VERB | Tense=Past VerbForm=Part Voice=Pass | 17 made | conj |
| 20 | with | with | ADP | _ | 21 AI | case |
| 21 | AI | ai | NOUN | Number=Sing | 19 changed | obl |
| 22 | , | , | PUNCT | _ | 26 new | punct |
| 23 | though | though | SCONJ | _ | 26 new | mark |
| 24 | this | this | PRON | Number=Sing PronType=Dem | 26 new | nsubj |
| 25 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 26 new | cop |
| 26 | new | new | ADJ | Degree=Pos | 6 starting | advcl |
| 27 | . | . | PUNCT | _ | 6 starting | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | start | present · progressive | some cameras and apps | vn begin-55.1-1-1 «NP V S_INF»: agent=Agent clause=Eventuality | |||||
| 2 | add speech: assert | to-infinitive | some cameras and apps not said here | content labels | vn mix-22.1-2 «NP V NP»: agent=Agent label=Patient | ||||
| 3 | show | present | content labels | vn transfer_mesg-37.1.1-1-1 «NP V how S»: agent=Agent clause=Topic | |||||
| 4 | make | past · passive | a picture | vn build-26.1-1 «NP.asset V NP»: subject=Product | |||||
| 5 | change | participle | with AI | vn dress-41.1.1-1-1 «NP V»: agent=Agent | |||||
| 6 | is | present | this | new 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, 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:politics:032-bots-troll-farms-and-deepfakes.lesson:15.
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, 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.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/15/