--- title: A dog has around 200 to 300 million smell cells against our roughly… — Senses: nose, tongue and skin · tree and pragmatics description: A dog has around 200 to 300 million smell cells against our roughly 5 to 6 million, and a big part of its brain works on smells, so sniffer dogs can find hidden things in bags. Who acts: dog, big part, sniffer dogs. A sentence of the lesson «Senses: nose, tongue and skin» of the biology course of Mo --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/70-senses-nose-tongue-and-skin/7/) [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/) / [Senses: nose, tongue and skin](https://md.mova.elamur.ai/free/en/corpora/school/biology/70-senses-nose-tongue-and-skin/) / 7 # Senses: nose, tongue and skin, sentence 7 A dog has around 200 to 300 million smell cells against our roughly 5 to 6 million, and a big part of its brain works on smells, so sniffer dogs can find hidden things in bags. **Who acts:** dog, big part, sniffer dogs · **What happens:** have, work, find · **To what, where:** million smell cells, hidden things, bags This is a sentence of the lesson «Senses: nose, tongue and skin» 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 (dog, big part, sniffer dogs), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:070-senses-nose-tongue-and-skin.lesson:7 # text = A dog has around 200 to 300 million smell cells against our roughly 5 to 6 million, and a big part of its brain works on smells, so sniffer dogs can find hidden things in bags. # source = school lesson (ours) # course = biology # lesson = 070-senses-nose-tongue-and-skin.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): no change 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 dog dog NOUN NN Number=Sing 3 nsubj _ _ 3 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 around around ADV RB _ 8 advmod _ _ 5 200 200 NUM CD NumForm=Digit|NumType=Card 8 compound _ _ 6 to to ADP IN _ 7 case _ _ 7 300 300 NUM CD NumForm=Digit|NumType=Card 5 nmod _ _ 8 million million NUM CD NumForm=Word|NumType=Card 10 nummod _ _ 9 smell smell NOUN NN Number=Sing 10 compound _ _ 10 cells cell NOUN NNS Number=Plur 3 obj _ _ 11 against against ADP IN _ 17 case _ _ 12 our our PRON PRP$ Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs 17 nmod:poss _ _ 13 roughly roughly ADV RB _ 17 advmod _ _ 14 5 5 NUM CD NumForm=Digit|NumType=Card 17 compound _ _ 15 to to ADP IN _ 16 case _ _ 16 6 6 NUM CD NumForm=Digit|NumType=Card 14 nmod _ _ 17 million million NUM CD NumForm=Word|NumType=Card 10 nmod _ _ 18 , , PUNCT , _ 26 punct _ _ 19 and and CCONJ CC _ 26 cc _ _ 20 a a DET DT Definite=Ind|PronType=Art 22 det _ _ 21 big big ADJ JJ Degree=Pos 22 amod _ _ 22 part part NOUN NN Number=Sing 26 nsubj _ _ 23 of of ADP IN _ 25 case _ _ 24 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 25 nmod:poss _ _ 25 brain brain NOUN NN Number=Sing 22 nmod _ _ 26 works work VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 conj _ _ 27 on on ADP IN _ 28 case _ _ 28 smells smell NOUN NNS Number=Plur 26 obl _ _ 29 , , PUNCT , _ 34 punct _ _ 30 so so ADV RB _ 34 advmod _ _ 31 sniffer sniffer NOUN NN Number=Sing 32 compound _ _ 32 dogs dog NOUN NNS Number=Plur 34 nsubj _ _ 33 can can AUX MD VerbForm=Fin 34 aux _ _ 34 find find VERB VB VerbForm=Inf 26 conj _ _ 35 hidden hidden ADJ JJ Degree=Pos 36 amod _ _ 36 things thing NOUN NNS Number=Plur 34 obj _ _ 37 in in ADP IN _ 38 case _ _ 38 bags bag NOUN NNS Number=Plur 34 obl _ _ 39 . . 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 | **have** | present | a dog | million smell cells | | | | against our 5 million | vn birth-28.2-1 «NP V NP»: agent=Agent cell=Patient | | 2 | **work** | present | a big part of dog's brain | | | | | on smells | vn employment-95.3 «NP V PP.theme»: agent=Agent on smell=Theme | | 3 | **find** | can | sniffer dogs | hidden things | | bags | | | vn discover-84 «NP V NP»: agent=Agent thing=Topic | 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:070-senses-nose-tongue-and-skin.lesson:7`. **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): no change. **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: [Senses: nose, tongue and skin, 6](https://md.mova.elamur.ai/free/en/corpora/school/biology/70-senses-nose-tongue-and-skin/6/) - next →: [Senses: nose, tongue and skin, 8](https://md.mova.elamur.ai/free/en/corpora/school/biology/70-senses-nose-tongue-and-skin/8/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/70-senses-nose-tongue-and-skin/)