--- title: Gutted for her, what did the huntsman cut the wolf open with? — Grimm's Fairy Tales, Little Red-Cap, p… · tree and pragmatics description: Gutted for her, what did the huntsman cut the wolf open with? Test 6 · ★ 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 --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/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/) / [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/) / t6 # Test 6 · ★ · Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks… Gutted for her, what did the huntsman cut the wolf open with? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** huntsman · **What happens:** gut, do, cut · **To what, where:** wolf This is test 6 · ★ 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/#t6). ## The question {#question} ```conllu # sent_id = question:books:746-pg2591-part22:t6:1 # text = Gutted for her, what did the huntsman cut the wolf open with? 1 Gutted gut VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 advcl _ _ 2 for for ADP IN _ 3 case _ _ 3 her she PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs 1 obl _ SpaceAfter=No 4 , , PUNCT , _ 1 punct _ _ 5 what what PRON WP PronType=Int 6 nsubj _ _ 6 did do VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 7 the the DET DT Definite=Def|PronType=Art 8 det _ _ 8 huntsman huntsman NOUN NN Number=Sing 9 nsubj _ _ 9 cut cut VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 6 parataxis _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 wolf wolf NOUN NN Number=Sing 9 obj _ _ 12 open open ADJ JJ Degree=Pos 9 xcomp _ _ 13 with with ADP IN _ 12 obl _ SpaceAfter=No 14 ? ? PUNCT . _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **gut** | participle | | | | | | for her *= she* | vn pit-10.7 «NP V NP»: agent=Agent | | 2 | **do** | past | | | | | | | vn act-114-1 «NP V»: agent=Agent | | 3 | **cut** | past | the huntsman | the wolf | | | | open *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset wolf=Product | 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} a sharp axe from the woodshed ```conllu # sent_id = question:books:746-pg2591-part22:t6:o1:1 # text = a sharp axe from the woodshed 1 a a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 sharp sharp ADJ JJ Degree=Pos 3 amod _ _ 3 axe axe NOUN NN Number=Sing 0 root _ _ 4 from from ADP IN _ 6 case _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 woodshed woodshed NOUN NN Number=Sing 3 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ✓ the right answer {#o2} a pair of scissors ```conllu # sent_id = question:books:746-pg2591-part22:t6:o2:1 # text = a pair of scissors 1 a a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 pair pair NOUN NN Number=Sing 0 root _ _ 3 of of ADP IN _ 4 case _ _ 4 scissors scissors NOUN NNS Number=Plur 2 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} the sharp hunting knife from his belt ```conllu # sent_id = question:books:746-pg2591-part22:t6:o3:1 # text = the sharp hunting knife from his belt 1 the the DET DT Definite=Def|PronType=Art 4 det _ _ 2 sharp sharp ADJ JJ Degree=Pos 4 amod _ _ 3 hunting hunting NOUN NN Number=Sing 4 compound _ _ 4 knife knife NOUN NN Number=Sing 0 root _ _ 5 from from ADP IN _ 7 case _ _ 6 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 7 nmod:poss _ _ 7 belt belt NOUN NN Number=Sing 4 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} a sharp kitchen knife ```conllu # sent_id = question:books:746-pg2591-part22:t6:o4:1 # text = a sharp kitchen knife 1 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 2 sharp sharp ADJ JJ Degree=Pos 4 amod _ _ 3 kitchen kitchen NOUN NN Number=Sing 4 compound _ _ 4 knife knife NOUN NN Number=Sing 0 root _ _ ``` 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: [Grimm's Fairy Tales, Little Red-Cap, p…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/t5/) - next →: [Grimm's Fairy Tales, Little Red-Cap, p…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/books/746-pg2591-part22/t7/) - ↑ 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/)