--- title: what did the cat say she licked off the fat first? — Grimm's Fairy Tales, Cat and Mouse in… · tree and pragmatics description: what did the cat say she licked off the fat first? Test 11 · ★ of lesson 736 «Grimm's Fairy Tales, Cat and Mouse in Partnership: the cat steals the winter fat, then eats the mouse» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each optio --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/736-pg2591-part12/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/) / [Grimm's Fairy Tales, Cat and Mouse in…](https://md.mova.elamur.ai/free/en/corpora/questions/books/736-pg2591-part12/) / t11 # Test 11 · ★ · Grimm's Fairy Tales, Cat and Mouse in Partnership: the cat… what did the cat say she licked off the fat first? **Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **Who acts:** cat · **What happens:** do, say, lick · **To what, where:** fat · **Speech:** someone speaks here This is test 11 · ★ of lesson 736 «Grimm's Fairy Tales, Cat and Mouse in Partnership: the cat steals the winter fat, then eats the mouse» 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/736-pg2591-part12/#t11). ## The question {#question} ```conllu # sent_id = question:books:736-pg2591-part12:t11:1 # text = what did the cat say she licked off the fat first? 1 what what PRON WP PronType=Int 2 nsubj _ _ 2 did do VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 cat cat NOUN NN Number=Sing 5 nsubj _ _ 5 say say VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 2 parataxis _ _ 6 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 7 nsubj _ _ 7 licked lick VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 ccomp _ _ 8 off off ADP IN _ 10 case _ _ 9 the the DET DT Definite=Def|PronType=Art 10 det _ _ 10 fat fat NOUN NN Number=Sing 7 obl _ _ 11 first first ADV RB NumForm=Word|NumType=Ord 7 advmod _ SpaceAfter=No 12 ? ? PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **do** | past | | | | | | | vn act-114-1 «NP V»: agent=Agent | | 2 | **say** *speech: assert* | present | the cat | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 3 | **lick** | past | cat | | | the fat | | first *property* | vn wipe\_manner-10.4.1-1 «NP V NP PP.source»: agent=Agent off fat=Source | 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 {#o1} the very top of the golden fat before anything else ```conllu # sent_id = question:books:736-pg2591-part12:t11:o1:1 # text = the very top of the golden fat before anything else 1 the the DET DT Definite=Def|PronType=Art 3 det _ _ 2 very very ADV RB _ 3 advmod _ _ 3 top top NOUN NN Number=Sing 0 root _ _ 4 of of ADP IN _ 7 case _ _ 5 the the DET DT Definite=Def|PronType=Art 7 det _ _ 6 golden golden ADJ JJ Degree=Pos 7 amod _ _ 7 fat fat NOUN NN Number=Sing 3 nmod _ _ 8 before before ADP IN _ 9 case _ _ 9 anything anything PRON NN Number=Sing|PronType=Ind 7 nmod _ _ 10 else else ADV RB _ 9 advmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} the bottom of the pot ```conllu # sent_id = question:books:736-pg2591-part12:t11:o2:1 # text = the bottom of the pot 1 the the DET DT Definite=Def|PronType=Art 2 det _ _ 2 bottom bottom NOUN NN Number=Sing 0 root _ _ 3 of of ADP IN _ 5 case _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 pot pot NOUN NN Number=Sing 2 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ← Mova's choice {#o3} the side of the dish ```conllu # sent_id = question:books:736-pg2591-part12:t11:o3:1 # text = the side of the dish 1 the the DET DT Definite=Def|PronType=Art 2 det _ _ 2 side side NOUN NN Number=Sing 0 root _ _ 3 of of ADP IN _ 5 case _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 dish dish NOUN NN Number=Sing 2 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} the top off the fat ```conllu # sent_id = question:books:736-pg2591-part12:t11:o4:1 # text = the top off the fat 1 the the DET DT Definite=Def|PronType=Art 2 det _ _ 2 top top NOUN NN Number=Sing 0 root _ _ 3 off off ADP IN _ 5 case _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 fat fat NOUN NN Number=Sing 2 nmod _ _ ``` 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, Cat and Mouse in…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/books/736-pg2591-part12/t10/) - next →: [Grimm's Fairy Tales, Cat and Mouse in…, test 12](https://md.mova.elamur.ai/free/en/corpora/questions/books/736-pg2591-part12/t12/) - ↑ back to [Grimm's Fairy Tales, Cat and Mouse in Partnership: the cat steals the winter fat, then eats the mouse](https://md.mova.elamur.ai/free/en/corpora/questions/books/736-pg2591-part12/)