--- title: At the 2022 World Cup, semi-automated offside used cameras and a sen… — VAR rows, referees, fans and rivalries · tree and pragmatics description: At the 2022 World Cup, semi-automated offside used cameras and a sensor in the ball that sent data 500 times a second; offside is judged on body parts you can score with, not the arms. Who acts: semi-automated offside, ball, you. A sentence of the lesson «VAR rows, referees, fans and rivalries» of t --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/medicine/65-var-rows-referees-fans-and-rivalries/6/) [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/) / [VAR rows, referees, fans and rivalries](https://md.mova.elamur.ai/free/en/corpora/school/medicine/65-var-rows-referees-fans-and-rivalries/) / 6 # VAR rows, referees, fans and rivalries, sentence 6 At the 2022 World Cup, semi-automated offside used cameras and a sensor in the ball that sent data 500 times a second; offside is judged on body parts you can score with, not the arms. **Who acts:** semi-automated offside, ball, you · **What happens:** use, send, judge, score · **To what, where:** cameras, World Cup, data, offside, body parts This is a sentence of the lesson «VAR rows, referees, fans and rivalries» 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 (semi-automated offside, ball, you), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:medicine:065-var-rows-referees-fans-and-rivalries.lesson:6 # text = At the 2022 World Cup, semi-automated offside used cameras and a sensor in the ball that sent data 500 times a second; offside is judged on body parts you can score with, not the arms. # source = school lesson (ours) # course = medicine # lesson = 065-var-rows-referees-fans-and-rivalries.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 At at ADP IN _ 5 case _ _ 2 the the DET DT Definite=Def|PronType=Art 5 det _ _ 3 2022 2022 NUM CD NumForm=Digit|NumType=Card 4 nummod _ _ 4 World World PROPN NNP Number=Sing 5 compound _ Agree=R8-pos-agree|Haiku=5:compound|HaikuPos=NOUN:NN:Number=Sing 5 Cup cup NOUN NN Number=Sing 9 obl _ _ 6 , , PUNCT , _ 9 punct _ _ 7 semi-automated semi-automated ADJ JJ Degree=Pos 8 amod _ _ 8 offside offside NOUN NN Number=Sing 9 nsubj _ _ 9 used use VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 0 root _ _ 10 cameras camera NOUN NNS Number=Plur 9 obj _ _ 11 and and CCONJ CC _ 13 cc _ _ 12 a a DET DT Definite=Ind|PronType=Art 13 det _ _ 13 sensor sensor NOUN NN Number=Sing 10 conj _ _ 14 in in ADP IN _ 16 case _ _ 15 the the DET DT Definite=Def|PronType=Art 16 det _ _ 16 ball ball NOUN NN Number=Sing 13 nmod _ _ 17 that that PRON WDT PronType=Rel 18 nsubj _ _ 18 sent send VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 16 acl:relcl _ _ 19 data data NOUN NN Number=Sing 18 obj _ _ 20 500 500 NUM CD NumForm=Digit|NumType=Card 21 nummod _ _ 21 times time NOUN NNS Number=Plur 18 obl:unmarked _ _ 22 a a DET DT Definite=Ind|PronType=Art 23 det _ _ 23 second second NOUN NN Number=Sing 21 nmod _ _ 24 ; ; PUNCT , _ 9 punct _ _ 25 offside offside NOUN NN Number=Sing 27 nsubj _ _ 26 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 27 aux:pass _ _ 27 judged judge VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 9 parataxis _ _ 28 on on ADP IN _ 30 case _ _ 29 body body NOUN NN Number=Sing 30 compound _ _ 30 parts part NOUN NNS Number=Plur 27 obl _ _ 31 you you PRON PRP Case=Nom|Person=2|PronType=Prs 33 nsubj _ _ 32 can can AUX MD VerbForm=Fin 33 aux _ _ 33 score score VERB VB VerbForm=Inf 30 acl:relcl _ _ 34 with with ADP IN _ 33 obl _ _ 35 , , PUNCT , _ 38 punct _ _ 36 not not PART RB Polarity=Neg 38 advmod _ _ 37 the the DET DT Definite=Def|PronType=Art 38 det _ _ 38 arms arm NOUN NNS Number=Plur 27 obl _ _ 39 . . PUNCT . _ 9 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **use** | past | semi-automated offside | cameras and a sensor in the ball | | the World Cup | | | vn eat-39.1 «NP V NP»: agent=Agent camera=Patient | | 2 | **send** | past | the ball | data | | | time | | vn confine-92-1 «NP V NP»: agent=Agent data=Theme | | 3 | **judge** | present · passive | | offside | | body parts | | the arms *obl* | vn estimate-34.2-1-1 «NP V NP.value»: subject=Value | | 4 | **score** | can | you | body parts *not said here* | | | | | vn get-13.5.1-1 «NP V NP»: agent=Agent part=Theme | 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:065-var-rows-referees-fans-and-rivalries.lesson:6`. **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: [VAR rows, referees, fans and rivalries, 5](https://md.mova.elamur.ai/free/en/corpora/school/medicine/65-var-rows-referees-fans-and-rivalries/5/) - next →: [VAR rows, referees, fans and rivalries, 7](https://md.mova.elamur.ai/free/en/corpora/school/medicine/65-var-rows-referees-fans-and-rivalries/7/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/medicine/65-var-rows-referees-fans-and-rivalries/)