--- title: Gan on, what did the cat do wi' the mouse's tail? — English Fairy Tales, The Laidly Worm o… · tree and pragmatics description: Gan on, what did the cat do wi' the mouse's tail? Test 11 · ★ of lesson 1970 «English Fairy Tales, The Laidly Worm of Spindleston Heugh: Margaret is freed by three kisses, and the witch-queen becomes a toad» of the books course of Mova's primary school, with the dependency tree and pragmatics of the --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/1970-pg7439-part29/t11/) [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/) / [English Fairy Tales, The Laidly Worm o…](https://md.mova.elamur.ai/free/en/corpora/questions/books/1970-pg7439-part29/) / t11 # Test 11 · ★ · English Fairy Tales, The Laidly Worm of Spindleston Heugh:… Gan on, what did the cat do wi' the mouse's tail? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Gan · **What happens:** do · **To what, where:** cat, wi This is test 11 · ★ of lesson 1970 «English Fairy Tales, The Laidly Worm of Spindleston Heugh: Margaret is freed by three kisses, and the witch-queen becomes a toad» 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/1970-pg7439-part29/#t11). ## The question {#question} ```conllu # sent_id = question:books:1970-pg7439-part29:t11:1 # text = Gan on, what did the cat do wi' the mouse's tail? 1 Gan Gan PROPN NNP Number=Sing 5 nsubj _ _ 2 on on ADV RB _ 1 advmod _ SpaceAfter=No 3 , , PUNCT , _ 5 punct _ _ 4 what what PRON WP PronType=Int 5 nsubj _ _ 5 did do VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 6 the the DET DT Definite=Def|PronType=Art 7 det _ _ 7 cat cat NOUN NN Number=Sing 5 obj _ _ 8 do do VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 5 conj _ _ 9 wi wi NOUN NN Number=Sing 8 obj _ SpaceAfter=No 10 ' ' PUNCT `` _ 14 punct _ _ 11 the the DET DT Definite=Def|PronType=Art 12 det _ _ 12 mouse mouse NOUN NN Number=Sing 14 nmod:poss _ SpaceAfter=No 13 's 's PART POS _ 12 case _ _ 14 tail tail NOUN NN Number=Sing 9 conj _ SpaceAfter=No 15 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **do** | past | Gan | the cat | | | | | vn act-114-1 «NP V NP»: agent=Agent cat=Eventuality | | 2 | **do** | present | Gan *not said here* | wi and the mouse's tail | | | | | vn act-114-1 «NP V NP»: agent=Agent wi=Eventuality | 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} Ate it ```conllu # sent_id = question:books:1970-pg7439-part29:t11:o1:1 # text = Ate it 1 Ate eat VERB VBD Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin 0 root _ _ 2 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 1 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **eat** | past | | it | | | | | vn eat-39.1-1 «NP V NP»: agent=Agent it=Patient | ### Option 2 {#o2} Chewed it up ```conllu # sent_id = question:books:1970-pg7439-part29:t11:o2:1 # text = Chewed it up 1 Chewed chew VERB VBD Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin 0 root _ _ 2 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 1 obj _ _ 3 up up ADP RP _ 1 compound:prt _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **chew up** | past | | it | | | | | vn chew-39.2 «NP V NP»: agent=Agent it=Patient | ### Option 3 {#o3} Bit ```conllu # sent_id = question:books:1970-pg7439-part29:t11:o3:1 # text = Bit 1 Bit bit NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} Bit it off ```conllu # sent_id = question:books:1970-pg7439-part29:t11:o4:1 # text = Bit it off 1 Bit bit NOUN NN Number=Sing 0 root _ _ 2 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 1 obj _ _ 3 off off ADP RP _ 1 compound:prt _ _ ``` 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: [English Fairy Tales, The Laidly Worm o…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/books/1970-pg7439-part29/t10/) - next →: [English Fairy Tales, The Laidly Worm o…, test 12](https://md.mova.elamur.ai/free/en/corpora/questions/books/1970-pg7439-part29/t12/) - ↑ back to [English Fairy Tales, The Laidly Worm of Spindleston Heugh: Margaret is freed by three kisses, and the witch-queen becomes a toad](https://md.mova.elamur.ai/free/en/corpora/questions/books/1970-pg7439-part29/)