Famous athletes and what being a professional takes, sentence 14
At the Tokyo Olympics, Simone Biles withdrew from events, saying she had to look after her mental health and had «the twisties», losing track of where she was in the air; at Paris 2024 she won 3 golds and a silver.
Who acts: Simone Biles, Biles, air · What happens: withdraw, say, have, look, lose, be · To what, where: Tokyo Olympics, twisties, track, air, 3 golds, Paris · Speech: someone speaks here
This is a sentence of the lesson «Famous athletes and what being a professional takes» of the medicine 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 (Simone Biles, Biles, air), 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 | At | at | ADP | _ | 4 Olympics | case |
| 2 | the | the | DET | Definite=Def PronType=Art | 4 Olympics | det |
| 3 | Tokyo | Tokyo | PROPN | Number=Sing | 4 Olympics | compound |
| 4 | Olympics | Olympics | PROPN | Number=Plur | 8 withdrew | obl |
| 5 | , | , | PUNCT | _ | 4 Olympics | punct |
| 6 | Simone | Simone | PROPN | Number=Sing | 7 Biles | compound |
| 7 | Biles | Biles | PROPN | Number=Sing | 8 withdrew | nsubj |
| 8 | withdrew | withdraw | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | root | root |
| 9 | from | from | ADP | _ | 10 events | case |
| 10 | events | event | NOUN | Number=Plur | 8 withdrew | obl |
| 11 | , | , | PUNCT | _ | 12 saying | punct |
| 12 | saying | say | VERB | Tense=Pres VerbForm=Part | 8 withdrew | advcl |
| 13 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 14 had | nsubj |
| 14 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 12 saying | ccomp |
| 15 | to | to | PART | _ | 16 look | mark |
| 16 | look | look | VERB | VerbForm=Inf | 14 had | xcomp |
| 17 | after | after | ADP | _ | 20 health | case |
| 18 | her | her | PRON | Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs | 20 health | nmod:poss |
| 19 | mental | mental | ADJ | Degree=Pos | 20 health | amod |
| 20 | health | health | NOUN | Number=Sing | 16 look | obl |
| 21 | and | and | CCONJ | _ | 22 had | cc |
| 22 | had | have | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 14 had | conj |
| 23 | « | « | PUNCT | _ | 25 twisties | punct |
| 24 | the | the | DET | Definite=Def PronType=Art | 25 twisties | det |
| 25 | twisties | twisty | NOUN | Number=Plur | 22 had | obj |
| 26 | » | » | PUNCT | _ | 25 twisties | punct |
| 27 | , | , | PUNCT | _ | 28 losing | punct |
| 28 | losing | lose | VERB | Tense=Pres VerbForm=Part | 22 had | advcl |
| 29 | track | track | NOUN | Number=Sing | 28 losing | obj |
| 30 | of | of | ADP | _ | 31 where | case |
| 31 | where | where | ADV | PronType=Rel | 29 track | nmod |
| 32 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 36 air | nsubj |
| 33 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 36 air | cop |
| 34 | in | in | ADP | _ | 36 air | case |
| 35 | the | the | DET | Definite=Def PronType=Art | 36 air | det |
| 36 | air | air | NOUN | Number=Sing | 31 where | nsubj |
| 37 | ; | ; | PUNCT | _ | 42 won | punct |
| 38 | at | at | ADP | _ | 39 Paris | case |
| 39 | Paris | Paris | PROPN | Number=Sing | 42 won | obl |
| 40 | 2024 | 2024 | NUM | NumForm=Digit NumType=Card | 39 Paris | flat |
| 41 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 42 won | nsubj |
| 42 | won | win | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 28 losing | conj |
| 43 | 3 | 3 | NUM | NumForm=Digit NumType=Card | 44 golds | nummod |
| 44 | golds | gold | NOUN | Number=Plur | 42 won | obj |
| 45 | and | and | CCONJ | _ | 47 silver | cc |
| 46 | a | a | DET | Definite=Ind PronType=Art | 47 silver | det |
| 47 | silver | silver | NOUN | Number=Sing | 44 golds | conj |
| 48 | . | . | PUNCT | _ | 8 withdrew | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | withdraw | past | Simone Biles | the Tokyo Olympics | from events | vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme from event=Initial_Location | |||
| 2 | say speech: assert | gerund | Simone Biles not said here | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | |||||
| 3 | have | past | Biles | tree rules | |||||
| 4 | look | to-infinitive | Biles not said here | after Biles's mental health | vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus | ||||
| 5 | have | past | Biles not said here | the twisties | vn birth-28.2-1 «NP V NP»: agent=Agent twisty=Patient | ||||
| 6 | lose | gerund | Biles not said here | track | vn succeed-74-3-1 «NP V NP»: agent=Agent track=Eventuality | ||||
| 7 | is | past | Biles | the air | tree rules | ||||
| 8 | win | past | air | 3 golds and a silver | Paris | vn get-13.5.1 «NP V NP PP.source NP.asset»: agent=Agent gold=Theme at paris=Asset |
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:medicine:063-famous-athletes-and-what-being-a-professional-takes.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): R5-strong ×1, R6-punct-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/medicine/63-famous-athletes-and-what-being-a-professional-takes/14/