Voice assistants and recommendations, sentence 14
It was widely reported that scientists used AI to predict the shapes of proteins (tiny building parts inside every living thing), a breakthrough that helps research into medicines.
Who acts: scientists, breakthrough · What happens: report, use, predict, help · To what, where: AI, shapes, research, medicines
This is a sentence of the lesson «Voice assistants and recommendations» 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 (scientists, breakthrough), 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 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 4 reported | nsubj |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 4 reported | aux:pass |
| 3 | widely | widely | ADV | _ | 4 reported | advmod |
| 4 | reported | report | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 5 | that | that | SCONJ | _ | 7 used | mark |
| 6 | scientists | scientist | NOUN | Number=Plur | 7 used | nsubj |
| 7 | used | use | VERB | Mood=Ind Tense=Past VerbForm=Fin | 4 reported | ccomp |
| 8 | AI | ai | NOUN | Number=Sing | 7 used | obj |
| 9 | to | to | PART | _ | 10 predict | mark |
| 10 | predict | predict | VERB | VerbForm=Inf | 7 used | advcl |
| 11 | the | the | DET | Definite=Def PronType=Art | 12 shapes | det |
| 12 | shapes | shape | NOUN | Number=Plur | 10 predict | obj |
| 13 | of | of | ADP | _ | 14 proteins | case |
| 14 | proteins | protein | NOUN | Number=Plur | 12 shapes | nmod |
| 15 | ( | ( | PUNCT | _ | 18 parts | punct |
| 16 | tiny | tiny | ADJ | Degree=Pos | 18 parts | amod |
| 17 | building | building | NOUN | Number=Sing | 18 parts | compound |
| 18 | parts | part | NOUN | Number=Plur | 14 proteins | appos |
| 19 | inside | inside | ADP | _ | 22 thing | case |
| 20 | every | every | DET | PronType=Tot | 22 thing | det |
| 21 | living | living | NOUN | Number=Sing | 22 thing | compound |
| 22 | thing | thing | NOUN | Number=Sing | 18 parts | nmod |
| 23 | ) | ) | PUNCT | _ | 18 parts | punct |
| 24 | , | , | PUNCT | _ | 26 breakthrough | punct |
| 25 | a | a | DET | Definite=Ind PronType=Art | 26 breakthrough | det |
| 26 | breakthrough | breakthrough | NOUN | Number=Sing | 7 used | appos |
| 27 | that | that | PRON | PronType=Rel | 28 helps | nsubj |
| 28 | helps | help | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 26 breakthrough | acl:relcl |
| 29 | research | research | NOUN | Number=Sing | 28 helps | obj |
| 30 | into | into | ADP | _ | 31 medicines | case |
| 31 | medicines | medicine | NOUN | Number=Plur | 28 helps | obl |
| 32 | . | . | PUNCT | _ | 4 reported | punct |
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 | AI | widely property | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | ||||
| 2 | use | past | scientists | AI | vn eat-39.1 «NP V NP»: agent=Agent ai=Patient | ||||
| 3 | predict | to-infinitive | scientists not said here | the shapes of proteins | vn indicate-78 «NP V NP»: agent=Pivot shape=Topic | ||||
| 4 | help | present | a breakthrough | research | medicines | vn help-72.1-1-1 «NP V NP»: agent=Agent research=Beneficiary |
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:ai:017-voice-assistants-recommendations.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): 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/ai/17-voice-assistants-recommendations/14/