--- title: Stars had setbacks too: as a child Lionel Messi was diagnosed with a… — Famous athletes and what being a professional ta… · tree and pragmatics description: Stars had setbacks too: as a child Lionel Messi was diagnosed with a growth hormone problem, joined Barcelona at 13 and was helped with his treatment, so being small at 10 doesn't decide your future. Who acts: Stars, Messi. A sentence of the lesson «Famous athletes and what being a professional take --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/3/) [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/) / [Medicine](https://md.mova.elamur.ai/free/en/corpora/school/medicine/) / [Famous athletes and what being a profe…](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/) / 3 # Famous athletes and what being a professional takes, sentence 3 Stars had setbacks too: as a child Lionel Messi was diagnosed with a growth hormone problem, joined Barcelona at 13 and was helped with his treatment, so being small at 10 doesn't decide your future. **Who acts:** Stars, Messi · **What happens:** have, diagnose, join, help, be, not decide · **To what, where:** setbacks, Lionel Messi, Barcelona, 13, 10, future 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 (Stars, Messi), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:medicine:063-famous-athletes-and-what-being-a-professional-takes.lesson:3 # text = Stars had setbacks too: as a child Lionel Messi was diagnosed with a growth hormone problem, joined Barcelona at 13 and was helped with his treatment, so being small at 10 doesn't decide your future. # source = school lesson (ours) # course = medicine # lesson = 063-famous-athletes-and-what-being-a-professional-takes.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): R8-pos-agree ×1 1 Stars star NOUN NNS Number=Plur 2 nsubj _ _ 2 had have VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 setbacks setback NOUN NNS Number=Plur 2 obj _ _ 4 too too ADV RB _ 2 advmod _ _ 5 : : PUNCT : _ 9 punct _ _ 6 as as ADP IN _ 8 case _ _ 7 a a DET DT Definite=Ind|PronType=Art 8 det _ _ 8 child child NOUN NN Number=Sing 12 obl _ _ 9 Lionel Lionel PROPN NNP Number=Sing 10 compound _ _ 10 Messi Messi PROPN NNP Number=Sing 12 nsubj:pass _ _ 11 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 12 aux:pass _ _ 12 diagnosed diagnose VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 2 parataxis _ _ 13 with with ADP IN _ 17 case _ _ 14 a a DET DT Definite=Ind|PronType=Art 17 det _ _ 15 growth growth NOUN NN Number=Sing 16 compound _ _ 16 hormone hormone NOUN NN Number=Sing 17 compound _ _ 17 problem problem NOUN NN Number=Sing 12 obl _ _ 18 , , PUNCT , _ 19 punct _ _ 19 joined join VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 12 conj _ Agree=R8-pos-agree|Haiku=12:conj|HaikuPos=VERB:VBN:Tense=Past|VerbForm=Part|Voice=Pass 20 Barcelona Barcelona PROPN NNP Number=Sing 19 obj _ _ 21 at at ADP IN _ 22 case _ _ 22 13 13 NUM CD NumForm=Digit|NumType=Card 19 obl _ _ 23 and and CCONJ CC _ 25 cc _ _ 24 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 25 aux:pass _ _ 25 helped help VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 19 conj _ _ 26 with with ADP IN _ 28 case _ _ 27 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 28 nmod:poss _ _ 28 treatment treatment NOUN NN Number=Sing 25 obl _ _ 29 , , PUNCT , _ 32 punct _ _ 30 so so ADV RB _ 32 advmod _ _ 31 being be AUX VBG Tense=Pres|VerbForm=Part 32 cop _ _ 32 small small ADJ JJ Degree=Pos 37 csubj _ _ 33 at at ADP IN _ 34 case _ _ 34 10 10 NUM CD NumForm=Digit|NumType=Card 32 obl _ _ 35 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 37 aux _ _ 36 n't not PART RB Polarity=Neg 37 advmod _ _ 37 decide decide VERB VB VerbForm=Inf 2 parataxis _ _ 38 your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 39 nmod:poss _ _ 39 future future NOUN NN Number=Sing 37 obj _ _ 40 . . PUNCT . _ 2 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **have** | past | Stars | setbacks | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent setback=Patient | | 2 | **diagnose** | past · passive | | Lionel Messi | | | | as a child; with a hormone problem | vn characterize-29.2 «NP V NP S\_ING»: subject=Theme as child=Attribute | | 3 | **join** | past | | Barcelona | | 13 | | | vn mix-22.1-2-1 «NP V NP»: agent=Agent barcelona=Patient | | 4 | **help** | past · passive | | | | | | with Messi's treatment | vn help-72.1-1-1 «NP V PP.theme»: with treatment=Theme | | 5 | **is** | gerund | | | | 10 | | small *property* | tree rules | | 6 | **not** **decide** | present · do-support | | your future | | | | | vn correspond-36.1-1 «NP V S»: agent=Agent future=Topic | | 7 | **treat** | | Messi | | | | | | nom treatment «act transitive»: poss=agent | 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:medicine:063-famous-athletes-and-what-being-a-professional-takes.lesson:3`. **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): 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: [Famous athletes and what being a profe…, 2](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/2/) - next →: [Famous athletes and what being a profe…, 4](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/)