--- title: That is how we got sheepdogs that herd, terriers that dig after rats… — Dogs: from wolves to hundreds of breeds · tree and pragmatics description: That is how we got sheepdogs that herd, terriers that dig after rats, retrievers that bring back birds from water, hounds that follow a scent and greyhounds built to sprint. Who acts: That, we, sheepdogs, terriers. A sentence of the lesson «Dogs: from wolves to hundreds of breeds» of the biology cou --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/3/) [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/) / [Dogs: from wolves to hundreds of breeds](https://md.mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/) / 3 # Dogs: from wolves to hundreds of breeds, sentence 3 That is how we got sheepdogs that herd, terriers that dig after rats, retrievers that bring back birds from water, hounds that follow a scent and greyhounds built to sprint. **Who acts:** That, we, sheepdogs, terriers, retrievers, hounds · **What happens:** be, get, herd, dig, bring back, follow · **To what, where:** sheepdogs, birds, water, scent, greyhounds This is a sentence of the lesson «Dogs: from wolves to hundreds of breeds» 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 (That, we, sheepdogs, terriers), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:192-dogs-from-wolves-to-hundreds-of-breeds.lesson:3 # text = That is how we got sheepdogs that herd, terriers that dig after rats, retrievers that bring back birds from water, hounds that follow a scent and greyhounds built to sprint. # source = school lesson (ours) # course = biology # lesson = 192-dogs-from-wolves-to-hundreds-of-breeds.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 1 That that PRON DT Number=Sing|PronType=Dem 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 how how ADV WRB PronType=Int 5 advmod _ _ 4 we we PRON PRP Case=Nom|Number=Plur|Person=1|PronType=Prs 5 nsubj _ _ 5 got get VERB VBD Mood=Ind|Number=Plur|Person=1|Tense=Past|VerbForm=Fin 0 root _ _ 6 sheepdogs sheepdog NOUN NNS Number=Plur 5 obj _ _ 7 that that PRON WDT PronType=Rel 8 nsubj _ _ 8 herd herd VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 6 acl:relcl _ _ 9 , , PUNCT , _ 10 punct _ _ 10 terriers terrier NOUN NNS Number=Plur 6 conj _ _ 11 that that PRON WDT PronType=Rel 12 nsubj _ _ 12 dig dig VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 10 acl:relcl _ _ 13 after after ADP IN _ 14 case _ _ 14 rats rat NOUN NNS Number=Plur 12 obl _ _ 15 , , PUNCT , _ 16 punct _ _ 16 retrievers retriever NOUN NNS Number=Plur 6 conj _ _ 17 that that PRON WDT PronType=Rel 18 nsubj _ _ 18 bring bring VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 16 acl:relcl _ _ 19 back back ADV RB _ 18 advmod _ _ 20 birds bird NOUN NNS Number=Plur 18 obj _ _ 21 from from ADP IN _ 22 case _ _ 22 water water NOUN NN Number=Sing 18 obl _ _ 23 , , PUNCT , _ 24 punct _ _ 24 hounds hound NOUN NNS Number=Plur 6 conj _ _ 25 that that PRON WDT PronType=Rel 26 nsubj _ _ 26 follow follow VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 24 acl:relcl _ _ 27 a a DET DT Definite=Ind|PronType=Art 28 det _ _ 28 scent scent NOUN NN Number=Sing 26 obj _ _ 29 and and CCONJ CC _ 30 cc _ _ 30 greyhounds greyhound NOUN NNS Number=Plur 28 conj _ _ 31 built build VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 30 acl _ _ 32 to to PART TO _ 33 mark _ _ 33 sprint sprint VERB VB VerbForm=Inf 31 advcl _ _ 34 . . PUNCT . _ 3 punct _ Agree=R6-punct-agree|Haiku=5: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 | **is** | present | That | | | | | how *property* | tree rules | | 2 | **get** | past | we | sheepdogs and terriers and retrievers and hounds | | | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer sheepdog=Stimulus | | 3 | **herd** | present | sheepdogs and terriers and retrievers and hounds | | | | | | vn shake-22.3-2 «NP V ADV-Middle»: agent=Patient | | 4 | **dig** | present | terriers | | | | after rats | | vn create-26.4-1-1 «NP V»: agent=Agent | | 5 | **bring back** | present | retrievers | birds | | water | | | vn bring-11.3-1 «NP V NP PP.initial\_location»: agent=Agent bird=Theme from water=Initial\_Location | | 6 | **follow** | present | hounds | a scent and greyhounds | | | | | vn chase-51.6 «NP V NP»: agent=Agent scent=Theme | | 7 | **build** | participle | | greyhounds *not said here* | | | | | vn calibratable\_cos-45.6.1 «NP.attribute V»: agent=Attribute | | 8 | **sprint** | to-infinitive | | | | | | | vn run-51.3.2 «NP V»: agent=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:biology:192-dogs-from-wolves-to-hundreds-of-breeds.lesson:3`. **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. **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: [Dogs: from wolves to hundreds of breeds, 2](https://md.mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/2/) - next →: [Dogs: from wolves to hundreds of breeds, 5](https://md.mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/5/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/)