--- title: Working dogs learn over months with rewards like toys, treats and pr… — Paw Patrol: real police, fire, rescue and sniffe… · tree and pragmatics description: Working dogs learn over months with rewards like toys, treats and praise, with big jobs broken into small steps, and many think of the job as a game that ends with their favourite toy. Who acts: Working dogs, many, game. A sentence of the lesson «Paw Patrol: real police, fire, rescue and sniffer dog --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/15/) [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/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/school/biology/) / [Paw Patrol: real police, fire, rescue…](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/) / 15 # Paw Patrol: real police, fire, rescue and sniffer dogs, sentence 15 Working dogs learn over months with rewards like toys, treats and praise, with big jobs broken into small steps, and many think of the job as a game that ends with their favourite toy. **Who acts:** Working dogs, many, game · **What happens:** work, learn, break, think, end · **To what, where:** big jobs This is a sentence of the lesson «Paw Patrol: real police, fire, rescue and sniffer dogs» of the biology 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 (Working dogs, many, game), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:140-paw-patrol-real-working-dogs.lesson:15 # text = Working dogs learn over months with rewards like toys, treats and praise, with big jobs broken into small steps, and many think of the job as a game that ends with their favourite toy. # source = school lesson (ours) # course = biology # lesson = 140-paw-patrol-real-working-dogs.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): R2-punct-next ×1, R5-strong ×1 1 Working work VERB VBG VerbForm=Ger 2 amod _ _ 2 dogs dog NOUN NNS Number=Plur 3 nsubj _ _ 3 learn learn VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 over over ADP IN _ 5 case _ _ 5 months month NOUN NNS Number=Plur 3 obl _ _ 6 with with ADP IN _ 7 case _ _ 7 rewards reward NOUN NNS Number=Plur 3 obl _ _ 8 like like ADP IN _ 9 case _ _ 9 toys toy NOUN NNS Number=Plur 7 nmod _ _ 10 , , PUNCT , _ 11 punct _ _ 11 treats treat NOUN NNS Number=Plur 9 conj _ Agree=R5-strong|Haiku=7:appos 12 and and CCONJ CC _ 13 cc _ _ 13 praise praise NOUN NN Number=Sing 11 conj _ _ 14 , , PUNCT , _ 3 punct _ _ 15 with with ADP IN _ 17 case _ _ 16 big big ADJ JJ Degree=Pos 17 amod _ _ 17 jobs job NOUN NNS Number=Plur 3 obl _ _ 18 broken break VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 17 acl _ _ 19 into into ADP IN _ 21 case _ _ 20 small small ADJ JJ Degree=Pos 21 amod _ _ 21 steps step NOUN NNS Number=Plur 18 obl _ _ 22 , , PUNCT , _ 25 punct _ Agree=R2-punct-next|Haiku=3:punct 23 and and CCONJ CC _ 25 cc _ _ 24 many many ADJ JJ Degree=Pos 25 nsubj _ _ 25 think think VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 conj _ _ 26 of of ADP IN _ 28 case _ _ 27 the the DET DT Definite=Def|PronType=Art 28 det _ _ 28 job job NOUN NN Number=Sing 25 obl _ _ 29 as as ADP IN _ 31 case _ _ 30 a a DET DT Definite=Ind|PronType=Art 31 det _ _ 31 game game NOUN NN Number=Sing 25 obl _ _ 32 that that PRON WDT PronType=Rel 33 nsubj _ _ 33 ends end VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 31 acl:relcl _ _ 34 with with ADP IN _ 37 case _ _ 35 their their PRON PRP$ Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs 37 nmod:poss _ _ 36 favourite favourite ADJ JJ Degree=Pos 37 amod _ _ 37 toy toy NOUN NN Number=Sing 33 obl _ _ 38 . . 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 | **work** | gerund | | | | | | | vn employment-95.3 «NP V»: agent=Agent | | 2 | **learn** | present | Working dogs | | | | month | with rewards like toys and treats and praise; with big jobs | vn learn-14-1 «NP V»: agent=Agent | | 3 | **break** | participle | | big jobs *not said here* | | | | into small steps *result* | vn break-45.1 «NP V PP.result»: agent=Patient into step=Result | | 4 | **think** *speech: other* | present | many | | | | | of the job; as a game | vn focus-87.1-1 «NP V»: agent=Agent | | 5 | **end** | present | a game | | | | | with jobs's favourite toy | vn stop-55.4-1-1 «NP V NP.eventuality PP.subeventuality»: agent=Affector with toy=Subeventuality | 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:biology:140-paw-patrol-real-working-dogs.lesson:15`. **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): R2-punct-next ×1, R5-strong ×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: [Paw Patrol: real police, fire, rescue…, 14](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/14/) - next →: [Paw Patrol: real police, fire, rescue…, 16](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/16/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/)