--- title: Tennis points go 0 (love), 15, 30, 40, game; at 40-40 (deuce) you ne… — Basketball, tennis, skateboarding and ice skating · tree and pragmatics description: Tennis points go 0 (love), 15, 30, 40, game; at 40-40 (deuce) you need two points in a row, and a set is usually won by the first to 6 games with 2 clear. Who acts: Tennis points, you, first 6 games. A sentence of the lesson «Basketball, tennis, skateboarding and ice skating» of the medicine course --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/medicine/44-basketball-tennis-skateboarding-and-ice-skating/12/) [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/) / [Basketball, tennis, skateboarding and…](https://md.mova.elamur.ai/free/en/corpora/school/medicine/44-basketball-tennis-skateboarding-and-ice-skating/) / 12 # Basketball, tennis, skateboarding and ice skating, sentence 12 Tennis points go 0 (love), 15, 30, 40, game; at 40-40 (deuce) you need two points in a row, and a set is usually won by the first to 6 games with 2 clear. **Who acts:** Tennis points, you, first 6 games · **What happens:** go, need, win · **To what, where:** 0, two points, 40-40, set This is a sentence of the lesson «Basketball, tennis, skateboarding and ice skating» 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 (Tennis points, you, first 6 games), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:medicine:044-basketball-tennis-skateboarding-and-ice-skating.lesson:12 # text = Tennis points go 0 (love), 15, 30, 40, game; at 40-40 (deuce) you need two points in a row, and a set is usually won by the first to 6 games with 2 clear. # source = school lesson (ours) # course = medicine # lesson = 044-basketball-tennis-skateboarding-and-ice-skating.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): R6-punct-agree ×1, R7-rel-agree ×3 1 Tennis tennis NOUN NN Number=Sing 2 compound _ _ 2 points point NOUN NNS Number=Plur 3 nsubj _ _ 3 go go VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 0 0 NUM CD NumForm=Digit|NumType=Card 3 obl _ _ 5 ( ( PUNCT -LRB- _ 6 punct _ _ 6 love love NOUN NN Number=Sing 4 appos _ _ 7 ) ) PUNCT -RRB- _ 6 punct _ _ 8 , , PUNCT , _ 9 punct _ _ 9 15 15 NUM CD NumForm=Digit|NumType=Card 4 conj _ _ 10 , , PUNCT , _ 11 punct _ _ 11 30 30 NUM CD NumForm=Digit|NumType=Card 4 appos _ _ 12 , , PUNCT , _ 13 punct _ Agree=R6-punct-agree|Haiku=11:punct 13 40 40 NUM CD NumForm=Digit|NumType=Card 11 flat _ _ 14 , , PUNCT , _ 15 punct _ _ 15 game game NOUN NN Number=Sing 3 obl _ _ 16 ; ; PUNCT : _ 23 punct _ _ 17 at at ADP IN _ 18 case _ _ 18 40-40 40-40 NUM CD NumForm=Digit|NumType=Card 23 obl _ _ 19 ( ( PUNCT -LRB- _ 20 punct _ _ 20 deuce deuce NOUN NN Number=Sing 18 appos _ _ 21 ) ) PUNCT -RRB- _ 20 punct _ _ 22 you you PRON PRP Case=Nom|Person=2|PronType=Prs 23 nsubj _ _ 23 need need VERB VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 3 parataxis _ Agree=R7-rel-agree|Haiku=3:conj 24 two two NUM CD NumForm=Word|NumType=Card 25 nummod _ _ 25 points point NOUN NNS Number=Plur 23 obj _ _ 26 in in ADP IN _ 28 case _ _ 27 a a DET DT Definite=Ind|PronType=Art 28 det _ _ 28 row row NOUN NN Number=Sing 25 nmod _ _ 29 , , PUNCT , _ 35 punct _ _ 30 and and CCONJ CC _ 35 cc _ _ 31 a a DET DT Definite=Ind|PronType=Art 32 det _ _ 32 set set NOUN NN Number=Sing 35 nsubj:pass _ _ 33 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 35 aux:pass _ _ 34 usually usually ADV RB _ 35 advmod _ _ 35 won win VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 23 conj _ _ 36 by by ADP IN _ 41 case _ _ 37 the the DET DT Definite=Def|PronType=Art 41 det _ _ 38 first first ADJ JJ Degree=Pos|NumForm=Word|NumType=Ord 41 amod _ _ 39 to to ADP IN _ 38 fixed _ _ 40 6 6 NUM CD NumForm=Digit|NumType=Card 41 nummod _ _ 41 games game NOUN NNS Number=Plur 35 obl _ _ 42 with with ADP IN _ 44 case _ Agree=R7-rel-agree|Haiku=44:mark|HaikuPos=SCONJ:IN:_ 43 2 2 NUM CD NumForm=Digit|NumType=Card 44 compound _ _ 44 clear clear ADJ JJ Degree=Pos 35 obl _ Agree=R7-rel-agree|Haiku=35:xcomp 45 . . 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 | **go** | present | Tennis points | 0 | | | | game *obl* | vn disappearance-48.2-1 «NP V»: agent=Theme | | 2 | **need** | present | you | two points | | 40-40 | | in a row | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot point=Theme | | 3 | **win** | present · passive | the first 6 games | a set | | | | with 2 clear; usually *property* | vn succeed-74-2 «NP V NP»: agent=Agent subject=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:044-basketball-tennis-skateboarding-and-ice-skating.lesson:12`. **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): R6-punct-agree ×1, R7-rel-agree ×3. **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: [Basketball, tennis, skateboarding and…, 11](https://md.mova.elamur.ai/free/en/corpora/school/medicine/44-basketball-tennis-skateboarding-and-ice-skating/11/) - next →: [Basketball, tennis, skateboarding and…, 13](https://md.mova.elamur.ai/free/en/corpora/school/medicine/44-basketball-tennis-skateboarding-and-ice-skating/13/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/medicine/44-basketball-tennis-skateboarding-and-ice-skating/)