--- title: Two dogs meet in a park in Sydney. One has its tail held high and st… — Reading a dog's body language · tree and pragmatics description: Two dogs meet in a park in Sydney. One has its tail held high and stiff, its body tense and its hair raised. How does it feel? Test 6 of lesson 21 «Reading a dog's body language» of the everyday course of Mova's primary school, with the dependency tree and pragmatics of the question and of each opti --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/everyday/21-reading-a-dog/t6/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Everyday](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/) / [Reading a dog's body language](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/21-reading-a-dog/) / t6 # Test 6 · Reading a dog's body language Two dogs meet in a park in Sydney. One has its tail held high and stiff, its body tense and its hair raised. How does it feel? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Two dogs, One · **What happens:** meet, have, hold, raise, feel · **To what, where:** park, tail, body tense This is test 6 of lesson 21 «Reading a dog's body language» of the everyday course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/everyday/21-reading-a-dog/#t6). ## The question {#question} *Sentence 1:* Two dogs meet in a park in Sydney. ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:1 # text = Two dogs meet in a park in Sydney. 1 Two two NUM CD NumForm=Word|NumType=Card 2 nummod _ _ 2 dogs dog NOUN NNS Number=Plur 3 nsubj _ _ 3 meet meet VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 in in ADP IN _ 6 case _ _ 5 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 6 park park NOUN NN Number=Sing 3 obl _ _ 7 in in ADP IN _ 8 case _ _ 8 Sydney Sydney PROPN NNP Number=Sing 3 obl _ SpaceAfter=No 9 . . PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **meet** | present | Two dogs | | | a park | | in Sydney | vn meet-36.3-1 «NP V»: agent=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. *Sentence 2:* One has its tail held high and stiff, its body tense and its hair raised. ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:2 # text = One has its tail held high and stiff, its body tense and its hair raised. 1 One one NUM CD NumForm=Word|NumType=Card 2 nsubj _ _ 2 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 4 nmod:poss _ _ 4 tail tail NOUN NN Number=Sing 2 obj _ _ 5 held hold VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 4 acl _ _ 6 high high ADJ JJ Degree=Pos 5 xcomp _ _ 7 and and CCONJ CC _ 8 cc _ _ 8 stiff stiff ADJ JJ Degree=Pos 6 conj _ SpaceAfter=No 9 , , PUNCT , _ 12 punct _ _ 10 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 12 nmod:poss _ _ 11 body body NOUN NN Number=Sing 12 compound _ _ 12 tense tense NOUN NN Number=Sing 4 conj _ _ 13 and and CCONJ CC _ 15 cc _ _ 14 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 15 nmod:poss _ _ 15 hair hair NOUN NN Number=Sing 12 conj _ _ 16 raised raise VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 12 acl _ SpaceAfter=No 17 . . PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **have** | present | One | park's tail and park's body tense and park's hair | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent tail=Patient | | 2 | **hold** | participle | | park's tail and park's body tense and park's hair *not said here* | | | | high *property* | vn exist-47.1 «NP V»: agent=Theme | | 3 | **raise** | participle | | park's body tense and park's hair *not said here* | | | | | vn put\_direction-9.4 «NP V NP»: agent=Agent | *Sentence 3:* How does it feel? ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:3 # text = How does it feel? 1 How how ADV WRB PronType=Int 4 advmod _ _ 2 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 aux _ _ 3 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 4 nsubj _ _ 4 feel feel VERB VB VerbForm=Inf 0 root _ SpaceAfter=No 5 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **feel** | present · do-support | One | | | | | | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} Calm and sleepy ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:o1:1 # text = Calm and sleepy 1 Calm calm ADJ JJ Degree=Pos 0 root _ _ 2 and and CCONJ CC _ 3 cc _ _ 3 sleepy sleepy ADJ JJ Degree=Pos 1 conj _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Shy and wanting to hide ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:o2:1 # text = Shy and wanting to hide 1 Shy shy ADJ JJ Degree=Pos 0 root _ _ 2 and and CCONJ CC _ 3 cc _ _ 3 wanting want VERB VBG Tense=Pres|VerbForm=Part 1 conj _ _ 4 to to PART TO _ 5 mark _ _ 5 hide hide VERB VB VerbForm=Inf 3 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **want** | gerund | | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme | | 2 | **hide** *not said to happen* | to-infinitive | | | | | | | vn concealment-16-1 «NP V»: agent=Agent | ### Option 3 {#o3} Bored and uninterested ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:o3:1 # text = Bored and uninterested 1 Bored bored ADJ JJ Degree=Pos 0 root _ _ 2 and and CCONJ CC _ 3 cc _ _ 3 uninterested uninterest VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 1 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **uninterest** | participle | | | | | | | tree rules | ### Option 4 · ✓ the right answer {#o4} Tense and ready for trouble ```conllu # sent_id = question:everyday:21-reading-a-dog:t6:o4:1 # text = Tense and ready for trouble 1 Tense tense NOUN NN Number=Sing 0 root _ _ 2 and and CCONJ CC _ 3 cc _ _ 3 ready ready ADJ JJ Degree=Pos 1 conj _ _ 4 for for ADP IN _ 5 case _ _ 5 trouble trouble NOUN NN Number=Sing 3 obl _ _ ``` The frames reader finds no event or fact in this sentence. **Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License. - ← previous: [Reading a dog's body language, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/21-reading-a-dog/t5/) - next →: [Reading a dog's body language, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/21-reading-a-dog/t7/) - ↑ back to [Reading a dog's body language](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/21-reading-a-dog/)