Cars, doctors, scientists and translators, sentence 0
AI already works quietly in lots of grown-up jobs: it translates letters, reads menus aloud, writes captions, sorts emails and carries plates in some restaurants.
Who acts: AI · What happens: work, grow, translate, read, write, sort · To what, where: letters, menus, captions, emails, plates, restaurants
This is a sentence of the lesson «Cars, doctors, scientists and translators» 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 (AI), 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 | AI | ai | NOUN | Number=Sing | 3 works | nsubj |
| 2 | already | already | ADV | _ | 3 works | advmod |
| 3 | works | work | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | quietly | quietly | ADV | _ | 3 works | advmod |
| 5 | in | in | ADP | _ | 6 lots | case |
| 6 | lots | lot | NOUN | Number=Plur | 3 works | obl |
| 7 | of | of | ADP | _ | 11 jobs | case |
| 8 | grown | grow | VERB | Tense=Past VerbForm=Part Voice=Pass | 11 jobs | amod |
| 9 | - | - | PUNCT | _ | 8 grown | punct |
| 10 | up | up | NOUN | Number=Sing | 8 grown | compound |
| 11 | jobs | job | NOUN | Number=Plur | 6 lots | nmod |
| 12 | : | : | PUNCT | _ | 14 translates | punct |
| 13 | it | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 14 translates | nsubj |
| 14 | translates | translate | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 3 works | parataxis |
| 15 | letters | letter | NOUN | Number=Plur | 14 translates | obj |
| 16 | , | , | PUNCT | _ | 17 reads | punct |
| 17 | reads | read | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 14 translates | conj |
| 18 | menus | menu | NOUN | Number=Plur | 17 reads | obj |
| 19 | aloud | aloud | ADV | _ | 17 reads | advmod |
| 20 | , | , | PUNCT | _ | 21 writes | punct |
| 21 | writes | write | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 3 works | conj |
| 22 | captions | caption | NOUN | Number=Plur | 21 writes | obj |
| 23 | , | , | PUNCT | _ | 24 sorts | punct |
| 24 | sorts | sort | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 21 writes | conj |
| 25 | emails | NOUN | Number=Plur | 24 sorts | obj | |
| 26 | and | and | CCONJ | _ | 27 carries | cc |
| 27 | carries | carry | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 24 sorts | conj |
| 28 | plates | plate | NOUN | Number=Plur | 27 carries | obj |
| 29 | in | in | ADP | _ | 31 restaurants | case |
| 30 | some | some | DET | PronType=Ind | 31 restaurants | det |
| 31 | restaurants | restaurant | NOUN | Number=Plur | 27 carries | obl |
| 32 | . | . | PUNCT | _ | 3 works | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | work | present | AI | in lots of grown jobs; quietly property | vn employment-95.3 «NP V PP.theme»: agent=Agent in lot=Theme | ||||
| 2 | grow | participle | vn appear-48.1.1 «NP V»: agent=Theme | ||||||
| 3 | translate | present | AI | letters | vn turn-26.6.1 «NP V NP»: agent=Agent letter=Patient | ||||
| 4 | read | present | AI not said here | menus | aloud property | vn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent menu=Topic | |||
| 5 | write | present | AI not said here | captions | vn scribble-25.2-1 «NP V NP»: agent=Agent caption=Theme | ||||
| 6 | sort | present | AI not said here | emails | vn classify-29.10 «NP V NP»: agent=Agent email=Theme | ||||
| 7 | carry | present | AI not said here | plates | some restaurants | vn fit-54.3 «NP V NP PP.location»: agent=Agent plate=Value in restaurant=Location |
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:018-cars-doctors-translators.lesson:0.
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): R5-strong ×1, 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/18-cars-doctors-translators/0/