--- title: Their secret weapon is the nose: a dog has hundreds of millions of s… — Paw Patrol: real police, fire, rescue and sniffe… · tree and pragmatics description: Their secret weapon is the nose: a dog has hundreds of millions of smell cells, sniffs five to ten times a second and can smell a person buried under a metre of snow. Who acts: secret weapon, dog. A sentence of the lesson «Paw Patrol: real police, fire, rescue and sniffer dogs» of the biology course --- [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/1/) [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/) / 1 # Paw Patrol: real police, fire, rescue and sniffer dogs, sentence 1 Their secret weapon is the nose: a dog has hundreds of millions of smell cells, sniffs five to ten times a second and can smell a person buried under a metre of snow. **Who acts:** secret weapon, dog · **What happens:** be, have, sniff, smell, bury · **To what, where:** nose, hundreds, person, metre 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 (secret weapon, dog), 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:1 # text = Their secret weapon is the nose: a dog has hundreds of millions of smell cells, sniffs five to ten times a second and can smell a person buried under a metre of snow. # 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 1 Their their PRON PRP$ Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs 3 nmod:poss _ _ 2 secret secret ADJ JJ Degree=Pos 3 amod _ _ 3 weapon weapon NOUN NN Number=Sing 6 nsubj _ _ 4 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 cop _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 nose nose NOUN NN Number=Sing 0 root _ _ 7 : : PUNCT : _ 6 punct _ _ 8 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 9 dog dog NOUN NN Number=Sing 10 nsubj _ _ 10 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 parataxis _ _ 11 hundreds hundred NOUN NNS Number=Plur 10 obj _ _ 12 of of ADP IN _ 13 case _ _ 13 millions million NOUN NNS Number=Plur 11 nmod _ _ 14 of of ADP IN _ 16 case _ _ 15 smell smell NOUN NN Number=Sing 16 compound _ _ 16 cells cell NOUN NNS Number=Plur 13 nmod _ _ 17 , , PUNCT , _ 18 punct _ _ 18 sniffs sniff VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 10 conj _ _ 19 five five NUM CD NumForm=Word|NumType=Card 22 nummod _ _ 20 to to ADP IN _ 21 case _ Agree=R5-strong|Haiku=22:case 21 ten ten NUM CD NumForm=Word|NumType=Card 22 nummod _ _ 22 times time NOUN NNS Number=Plur 18 obl:unmarked _ _ 23 a a DET DT Definite=Ind|PronType=Art 24 det _ _ 24 second second NOUN NN Number=Sing 22 nmod:unmarked _ _ 25 and and CCONJ CC _ 27 cc _ _ 26 can can AUX MD VerbForm=Fin 27 aux _ _ 27 smell smell VERB VB VerbForm=Inf 10 conj _ Agree=R3-conj-first|Haiku=18:conj 28 a a DET DT Definite=Ind|PronType=Art 29 det _ _ 29 person person NOUN NN Number=Sing 27 obj _ _ 30 buried bury VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 29 acl _ _ 31 under under ADP IN _ 33 case _ _ 32 a a DET DT Definite=Ind|PronType=Art 33 det _ _ 33 metre metre NOUN NN Number=Sing 30 obl _ _ 34 of of ADP IN _ 35 case _ _ 35 snow snow NOUN NN Number=Sing 33 nmod _ _ 36 . . PUNCT . _ 6 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 a** | present | pups's secret weapon | the nose | | | | | tree rules | | 2 | **have** | present | a dog | hundreds of millions of smell cells | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent hundred=Patient | | 3 | **sniff** | present | a dog *not said here* | | | | time | | vn nonverbal\_expression-40.2 «NP V»: agent=Agent | | 4 | **smell** | can | a dog *not said here* | a person | | | | | vn see-30.1 «NP V NP»: agent=Experiencer person=Stimulus | | 5 | **bury** | participle | | a person *not said here* | | a metre of snow | | | vn put-9.1-1 «NP V NP PP.destination»: agent=Agent under metre=Destination | 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:1`. **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. **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…, 0](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/0/) - next →: [Paw Patrol: real police, fire, rescue…, 2](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/2/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/140-paw-patrol-real-working-dogs/)