--- title: A reward given straight after an action makes that action more likel… — Training a dog with rewards and patience · tree and pragmatics description: A reward given straight after an action makes that action more likely; this is called positive reinforcement, and it works with dogs, horses, dolphins and even fish. Who acts: reward, action. A sentence of the lesson «Training a dog with rewards and patience» of the biology course of Mova's primary --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/195-training-a-dog-with-rewards-and-patience/5/) [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/) / [Training a dog with rewards and patience](https://md.mova.elamur.ai/free/en/corpora/school/biology/195-training-a-dog-with-rewards-and-patience/) / 5 # Training a dog with rewards and patience, sentence 5 A reward given straight after an action makes that action more likely; this is called positive reinforcement, and it works with dogs, horses, dolphins and even fish. **Who acts:** reward, action · **What happens:** give, make, call, work · **To what, where:** reward, action, this · **Speech:** someone speaks here This is a sentence of the lesson «Training a dog with rewards and patience» 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 (reward, action), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:195-training-a-dog-with-rewards-and-patience.lesson:5 # text = A reward given straight after an action makes that action more likely; this is called positive reinforcement, and it works with dogs, horses, dolphins and even fish. # source = school lesson (ours) # course = biology # lesson = 195-training-a-dog-with-rewards-and-patience.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 ×3, R8-pos-agree ×1 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 reward reward NOUN NN Number=Sing 8 nsubj _ _ 3 given give VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 2 acl _ _ 4 straight straight ADV RB _ 3 advmod _ _ 5 after after ADP IN _ 7 case _ _ 6 an a DET DT Definite=Ind|PronType=Art 7 det _ _ 7 action action NOUN NN Number=Sing 3 obl _ _ 8 makes make VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 9 that that DET DT Number=Sing|PronType=Dem 10 det _ _ 10 action action NOUN NN Number=Sing 8 obj _ _ 11 more more ADV RBR Degree=Cmp 12 advmod _ Agree=R5-strong|Haiku=8:advmod 12 likely likely ADJ JJ Degree=Pos 8 xcomp _ Agree=R5-strong|Haiku=11:advmod|HaikuPos=ADV:RB:_ 13 ; ; PUNCT , _ 16 punct _ Agree=R2-punct-next|Haiku=8:punct 14 this this PRON DT Number=Sing|PronType=Dem 16 nsubj:pass _ _ 15 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 16 aux:pass _ _ 16 called call VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 8 conj _ _ 17 positive positive ADJ JJ Degree=Pos 18 amod _ _ 18 reinforcement reinforcement NOUN NN Number=Sing 16 xcomp _ _ 19 , , PUNCT , _ 22 punct _ _ 20 and and CCONJ CC _ 22 cc _ _ 21 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 22 nsubj _ _ 22 works work VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 8 conj _ _ 23 with with ADP IN _ 24 case _ _ 24 dogs dog NOUN NNS Number=Plur 22 obl _ _ 25 , , PUNCT , _ 26 punct _ _ 26 horses horse NOUN NNS Number=Plur 24 conj _ Agree=R5-strong|Haiku=8:obl 27 , , PUNCT , _ 28 punct _ _ 28 dolphins dolphin NOUN NNS Number=Plur 8 obl _ _ 29 and and CCONJ CC _ 31 cc _ _ 30 even even ADV RB _ 31 advmod _ _ 31 fish fish NOUN NNS Number=Plur 8 conj _ Agree=R8-pos-agree|Haiku=8:conj|HaikuPos=NOUN:NN:Number=Sing 32 . . PUNCT . _ 8 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: warn - voice: narrator - polarity: none - teacher: changed act=warn | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **give** | participle | | a reward *not said here* | | | after a action | straight *property* | vn break\_down-45.8 «NP V»: agent=Patient | | 2 | **make** | present | a reward | that action | | | | dolphins *obl*; likely *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset action=Product | | 3 | **call** | present · passive | | this | | | | | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: subject=Recipient | | 4 | **work** | present | action | | | | | with dogs and horses | vn cooperate-73.1-3 «NP V PP.co-agent PP.theme»: agent=Agent with dog=Co-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:biology:195-training-a-dog-with-rewards-and-patience.lesson:5`. **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 ×3, 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: [Training a dog with rewards and patience, 4](https://md.mova.elamur.ai/free/en/corpora/school/biology/195-training-a-dog-with-rewards-and-patience/4/) - next →: [Training a dog with rewards and patience, 6](https://md.mova.elamur.ai/free/en/corpora/school/biology/195-training-a-dog-with-rewards-and-patience/6/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/195-training-a-dog-with-rewards-and-patience/)