--- title: It was widely reported that scientists used AI to predict the shapes… — Voice assistants and recommendations · tree and pragmatics description: 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. A sentence of the lesson «Voice assistants and recommendations» 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/17-voice-assistants-recommendations/14/) [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/) / [Voice assistants and recommendations](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/) / 14 # 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 {#tree} ```conllu # sent_id = school:ai:017-voice-assistants-recommendations.lesson:14 # text = 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. # source = school lesson (ours) # course = ai # lesson = 017-voice-assistants-recommendations.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, R8-pos-agree ×1 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 4 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 aux:pass _ Agree=R7-rel-agree|Haiku=4:cop 3 widely widely ADV RB _ 4 advmod _ _ 4 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ Agree=R8-pos-agree|Haiku=0:root|HaikuPos=VERB:VBD:Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 that that SCONJ IN _ 7 mark _ _ 6 scientists scientist NOUN NNS Number=Plur 7 nsubj _ _ 7 used use VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 4 ccomp _ _ 8 AI ai NOUN NN Number=Sing 7 obj _ _ 9 to to PART TO _ 10 mark _ _ 10 predict predict VERB VB VerbForm=Inf 7 advcl _ _ 11 the the DET DT Definite=Def|PronType=Art 12 det _ _ 12 shapes shape NOUN NNS Number=Plur 10 obj _ _ 13 of of ADP IN _ 14 case _ _ 14 proteins protein NOUN NNS Number=Plur 12 nmod _ _ 15 ( ( PUNCT -LRB- _ 18 punct _ _ 16 tiny tiny ADJ JJ Degree=Pos 18 amod _ _ 17 building building NOUN NN Number=Sing 18 compound _ _ 18 parts part NOUN NNS Number=Plur 14 appos _ _ 19 inside inside ADP IN _ 22 case _ _ 20 every every DET DT PronType=Tot 22 det _ _ 21 living living NOUN NN Number=Sing 22 compound _ _ 22 thing thing NOUN NN Number=Sing 18 nmod _ _ 23 ) ) PUNCT -RRB- _ 18 punct _ _ 24 , , PUNCT , _ 26 punct _ _ 25 a a DET DT Definite=Ind|PronType=Art 26 det _ _ 26 breakthrough breakthrough NOUN NN Number=Sing 7 appos _ _ 27 that that PRON WDT PronType=Rel 28 nsubj _ _ 28 helps help VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 26 acl:relcl _ _ 29 research research NOUN NN Number=Sing 28 obj _ _ 30 into into ADP IN _ 31 case _ _ 31 medicines medicine NOUN NNS Number=Plur 28 obl _ _ 32 . . PUNCT . _ 4 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 | | 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](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: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](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Voice assistants and recommendations, 13](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/13/) - next →: [Voice assistants and recommendations, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/15/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/)