--- title: Mad, what did Red-Cap say about granny's ears? — Grimm's Fairy Tales, Little Red-Cap, p… · tree and pragmatics description: Mad, what did Red-Cap say about granny's ears? Test 5 · ★ of lesson 746 «Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks Red-Cap off the path and eats her grandmother» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/t5/) [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/) / [Books](https://md.mova.elamur.ai/free/en/corpora/questions/books/) / [Grimm's Fairy Tales, Little Red-Cap, p…](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/) / t5 # Test 5 · ★ · Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks… Mad, what did Red-Cap say about granny's ears? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** Red · **What happens:** say · **Speech:** someone speaks here This is test 5 · ★ of lesson 746 «Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks Red-Cap off the path and eats her grandmother» of the books 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/books/746-pg2591-part22/#t5). ## The question {#question} ```conllu # sent_id = question:books:746-pg2591-part22:t5:1 # text = Mad, what did Red-Cap say about granny's ears? 1 Mad mad ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 2 , , PUNCT , _ 8 punct _ _ 3 what what PRON WP PronType=Int 8 obj _ _ 4 did do AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 8 aux _ _ 5 Red Red PROPN NNP Number=Sing 8 nsubj _ SpaceAfter=No 6 - - PUNCT HYPH _ 7 punct _ SpaceAfter=No 7 Cap Cap PROPN NNP Number=Sing 5 conj _ _ 8 say say VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 1 parataxis _ _ 9 about about ADP IN _ 12 case _ _ 10 granny granny NOUN NN Number=Sing 12 nmod:poss _ SpaceAfter=No 11 's 's PART POS _ 10 case _ _ 12 ears ear NOUN NNS Number=Plur 8 obl _ SpaceAfter=No 13 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past · do-support | Red and Cap | | | | | about granny's ears | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=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. ## The options {#options} ### Option 1 · ← Mova's choice {#o1} were big ```conllu # sent_id = question:books:746-pg2591-part22:t5:o1:1 # text = were big 1 were be VERB VBD Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin 0 root _ _ 2 big big ADJ JJ Degree=Pos 1 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **be** | past | | | | | | big *property* | vn exist-47.1 «NP V»: agent=Theme | ### Option 2 {#o2} they were long ```conllu # sent_id = question:books:746-pg2591-part22:t5:o2:1 # text = they were long 1 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 3 nsubj _ _ 2 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 long long ADJ JJ Degree=Pos 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | they | | | | | long *property* | tree rules | ### Option 3 · ✓ the right answer {#o3} they were big ```conllu # sent_id = question:books:746-pg2591-part22:t5:o3:1 # text = they were big 1 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 3 nsubj _ _ 2 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 big big ADJ JJ Degree=Pos 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | they | | | | | big *property* | tree rules | ### Option 4 {#o4} they were furry ```conllu # sent_id = question:books:746-pg2591-part22:t5:o4:1 # text = they were furry 1 they they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 3 nsubj _ _ 2 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 furry furry ADJ JJ Degree=Pos 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | they | | | | | furry *property* | tree rules | **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: [Grimm's Fairy Tales, Little Red-Cap, p…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/t4/) - next →: [Grimm's Fairy Tales, Little Red-Cap, p…, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/t6/) - ↑ back to [Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks Red-Cap off the path and eats her grandmother](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/)