--- title: Police forces use dogs, very often German shepherds and Belgian Mali… — Paw Patrol: real police, fire, rescue and sniffe… · tree and pragmatics description: Police forces use dogs, very often German shepherds and Belgian Malinois, to track people, search buildings and find hidden things, because these breeds are strong, quick to learn and good at following a scent. Who acts: Police forces, breeds. A sentence of the lesson «Paw Patrol: real police, fire, --- [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/4/) [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/) / 4 # Paw Patrol: real police, fire, rescue and sniffer dogs, sentence 4 Police forces use dogs, very often German shepherds and Belgian Malinois, to track people, search buildings and find hidden things, because these breeds are strong, quick to learn and good at following a scent. **Who acts:** Police forces, breeds · **What happens:** use, track, search, find, hide, be · **To what, where:** dogs, people, buildings, hidden things, scent 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 (Police forces, breeds), 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:4 # text = Police forces use dogs, very often German shepherds and Belgian Malinois, to track people, search buildings and find hidden things, because these breeds are strong, quick to learn and good at following a scent. # 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): R3-conj-first ×1, R5-strong ×1, R7-rel-agree ×2, R8-pos-agree ×1 1 Police police NOUN NNS Number=Plur 2 compound _ _ 2 forces force NOUN NNS Number=Plur 3 nsubj _ _ 3 use use VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 dogs dog NOUN NNS Number=Plur 3 obj _ _ 5 , , PUNCT , _ 9 punct _ _ 6 very very ADV RB _ 7 advmod _ Agree=R5-strong|Haiku=8:advmod 7 often often ADV RB _ 8 advmod _ _ 8 German German ADJ JJ Degree=Pos 9 amod _ _ 9 shepherds shepherd NOUN NNS Number=Plur 4 appos _ _ 10 and and CCONJ CC _ 12 cc _ _ 11 Belgian Belgian ADJ JJ Degree=Pos 12 amod _ _ 12 Malinois malinois NOUN NN Number=Sing 9 conj _ _ 13 , , PUNCT , _ 9 punct _ _ 14 to to PART TO _ 15 mark _ _ 15 track track VERB VB VerbForm=Inf 3 advcl _ _ 16 people people NOUN NNS Number=Plur 15 obj _ _ 17 , , PUNCT , _ 18 punct _ _ 18 search search VERB VB VerbForm=Inf 15 conj _ _ 19 buildings building NOUN NNS Number=Plur 18 obj _ _ 20 and and CCONJ CC _ 21 cc _ _ 21 find find VERB VB VerbForm=Inf 15 conj _ Agree=R3-conj-first|Haiku=18:conj 22 hidden hide VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 23 amod _ Agree=R8-pos-agree|Haiku=23:amod|HaikuPos=ADJ:JJ:Degree=Pos 23 things thing NOUN NNS Number=Plur 21 obj _ _ 24 , , PUNCT , _ 29 punct _ _ 25 because because SCONJ IN _ 29 mark _ _ 26 these this DET DT Number=Plur|PronType=Dem 27 det _ _ 27 breeds breed NOUN NNS Number=Plur 29 nsubj _ _ 28 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 29 cop _ _ 29 strong strong ADJ JJ Degree=Pos 3 advcl _ _ 30 , , PUNCT , _ 31 punct _ _ 31 quick quick ADJ JJ Degree=Pos 29 conj _ _ 32 to to PART TO _ 33 mark _ _ 33 learn learn VERB VB VerbForm=Inf 31 advcl _ Agree=R7-rel-agree|Haiku=31:xcomp 34 and and CCONJ CC _ 35 cc _ _ 35 good good ADJ JJ Degree=Pos 31 conj _ _ 36 at at SCONJ IN _ 37 mark _ Agree=R7-rel-agree|Haiku=37:case|HaikuPos=ADP:IN:_ 37 following follow VERB VBG Tense=Pres|VerbForm=Part 35 obl _ _ 38 a a DET DT Definite=Ind|PronType=Art 39 det _ _ 39 scent scent NOUN NN Number=Sing 37 obj _ _ 40 . . PUNCT . _ 3 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** | present | Police forces | dogs | | | | | vn eat-39.1 «NP V NP»: agent=Agent dog=Patient | | 2 | **track** | to-infinitive | Police forces *not said here* | people | | | | | vn stalk-35.3 «NP V NP»: agent=Agent people=Theme | | 3 | **search** | infinitive | Police forces *not said here* | buildings | | | | | vn search-35.2 «NP V NP PP.theme»: agent=Agent building=Location | | 4 | **find** | infinitive | Police forces *not said here* | hidden things | | | | | vn discover-84 «NP V NP»: agent=Agent thing=Topic | | 5 | **hide** | participle | | | | | | | vn concealment-16-1 «NP V»: agent=Agent | | 6 | **is** | present | this breeds | | | | | strong *property* | tree rules | | 7 | **be** | | this breeds *not said here* | | | | | | tree rules | | 8 | **learn** | to-infinitive | this breeds *not said here* | | | | | | vn learn-14-1 «NP V»: agent=Agent | | 9 | **follow** | gerund | | a scent | | | | | vn chase-51.6 «NP V NP»: agent=Agent scent=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:140-paw-patrol-real-working-dogs.lesson:4`. **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): R3-conj-first ×1, R5-strong ×1, R7-rel-agree ×2, 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: [Paw Patrol: real police, fire, rescue…, 3](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/3/) - next →: [Paw Patrol: real police, fire, rescue…, 5](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/5/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/)