--- title: Was she actually a proper nasty Witch? — Andersen's Fairy Tales, The Tinder-Box… · tree and pragmatics description: Was she actually a proper nasty Witch? Test 4 · ★ of lesson 1737 «Andersen's Fairy Tales, The Tinder-Box, part 61: a Soldier gets rich from three dogs and a witch's trick» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/1737-pg640-part61/t4/) [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/) / [Andersen's Fairy Tales, The Tinder-Box…](https://md.mova.elamur.ai/free/en/corpora/questions/books/1737-pg640-part61/) / t4 # Test 4 · ★ · Andersen's Fairy Tales, The Tinder-Box, part 61: a Soldier… Was she actually a proper nasty Witch? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** she · **What happens:** be · **To what, where:** proper nasty Witch This is test 4 · ★ of lesson 1737 «Andersen's Fairy Tales, The Tinder-Box, part 61: a Soldier gets rich from three dogs and a witch's trick» 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/1737-pg640-part61/#t4). ## The question {#question} ```conllu # sent_id = question:books:1737-pg640-part61:t4:1 # text = Was she actually a proper nasty Witch? 1 Was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 7 cop _ _ 2 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 7 nsubj _ _ 3 actually actually ADV RB _ 7 advmod _ _ 4 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 5 proper proper ADJ JJ Degree=Pos 7 amod _ _ 6 nasty nasty ADJ JJ Degree=Pos 7 amod _ _ 7 Witch witch NOUN NN Number=Sing 0 root _ SpaceAfter=No 8 ? ? PUNCT . _ 7 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | past | she | a proper nasty Witch | | | | actually *property* | tree rules | 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} Nah, mate ```conllu # sent_id = question:books:1737-pg640-part61:t4:o1:1 # text = Nah, mate 1 Nah nah INTJ UH _ 3 discourse _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 mate mate NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Nah, she was well nice, mate ```conllu # sent_id = question:books:1737-pg640-part61:t4:o2:1 # text = Nah, she was well nice, mate 1 Nah nah INTJ UH _ 6 discourse _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 6 nsubj _ _ 4 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 6 cop _ _ 5 well well ADV RB Degree=Pos 6 advmod _ _ 6 nice nice ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 7 , , PUNCT , _ 8 punct _ _ 8 mate mate NOUN NN Number=Sing 6 vocative _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | she | | | | | mate *vocative*; nice, well *property* | tree rules | ### Option 3 {#o3} Dunno, bruv ```conllu # sent_id = question:books:1737-pg640-part61:t4:o3:1 # text = Dunno, bruv 1 Dunno Dunno PROPN NNP Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 3 punct _ _ 3 bruv bruv NOUN NN Number=Sing 1 appos _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} Yeah, she was well dodgy, mate ```conllu # sent_id = question:books:1737-pg640-part61:t4:o4:1 # text = Yeah, she was well dodgy, mate 1 Yeah yeah INTJ UH _ 6 discourse _ SpaceAfter=No 2 , , PUNCT , _ 6 punct _ _ 3 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 6 nsubj _ _ 4 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 6 cop _ _ 5 well well ADV RB Degree=Pos 6 advmod _ _ 6 dodgy dodgy ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 7 , , PUNCT , _ 8 punct _ _ 8 mate mate NOUN NN Number=Sing 6 vocative _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | she | | | | | mate *vocative*; dodgy, well *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: [Andersen's Fairy Tales, The Tinder-Box…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/books/1737-pg640-part61/t3/) - next →: [Andersen's Fairy Tales, The Tinder-Box…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/books/1737-pg640-part61/t5/) - ↑ back to [Andersen's Fairy Tales, The Tinder-Box, part 61: a Soldier gets rich from three dogs and a witch's trick](https://md.mova.elamur.ai/free/en/corpora/questions/books/1737-pg640-part61/)