--- title: Serena Williams won 23 Grand Slam singles titles after years of trai… — Famous athletes and what being a professional ta… · tree and pragmatics description: Serena Williams won 23 Grand Slam singles titles after years of training from a young age. Who acts: Serena. A sentence of the lesson «Famous athletes and what being a professional takes» of the medicine course of Mova's primary school with its dependency tree and the pragmatics of every clause. --- [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/11/) [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/) / 11 # Famous athletes and what being a professional takes, sentence 11 Serena Williams won 23 Grand Slam singles titles after years of training from a young age. **Who acts:** Serena · **What happens:** win · **To what, where:** 23 Grand singles titles 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 (Serena), 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:11 # text = Serena Williams won 23 Grand Slam singles titles after years of training from a young age. # 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): R5-strong ×1, R8-pos-agree ×2 1 Serena Serena PROPN NNP Number=Sing 3 nsubj _ _ 2 Williams Williams PROPN NNP Number=Sing 1 flat _ _ 3 won win VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 23 23 NUM CD NumForm=Digit|NumType=Card 8 nummod _ _ 5 Grand grand ADJ JJ Degree=Pos 8 amod _ _ 6 Slam slam PROPN NNP Number=Sing 7 compound _ Agree=R8-pos-agree|Haiku=7:compound|HaikuPos=NOUN:NN:Number=Sing 7 singles single NOUN NNS Number=Plur 8 compound _ _ 8 titles title NOUN NNS Number=Plur 3 obj _ _ 9 after after ADP IN _ 10 case _ _ 10 years year NOUN NNS Number=Plur 3 obl _ Agree=R5-strong|Haiku=8:nmod 11 of of ADP IN _ 12 case _ _ 12 training training NOUN NN Number=Sing 10 nmod _ Agree=R8-pos-agree|Haiku=10:nmod|HaikuPos=VERB:VBG:VerbForm=Ger 13 from from ADP IN _ 16 case _ _ 14 a a DET DT Definite=Ind|PronType=Art 16 det _ _ 15 young young ADJ JJ Degree=Pos 16 amod _ _ 16 age age NOUN NN Number=Sing 12 obl _ _ 17 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **win** | past | Serena | 23 Grand singles titles | | | year | | vn succeed-74-2 «NP V NP»: agent=Agent title=Eventuality | 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:11`. **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, R8-pos-agree ×2. **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…, 10](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/10/) - next →: [Famous athletes and what being a profe…, 12](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/12/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/medicine/63-famous-athletes-and-what-being-a-professional-takes/)