--- title: Mate, what did the miller say got his fattest ram? — Hemgard Tales, How Brave Walter Hunted… · tree and pragmatics description: Mate, what did the miller say got his fattest ram? Test 4 · ★ of lesson 1287 «Hemgard Tales, How Brave Walter Hunted Wolves, part 12: Walter sets off alone into the wood with his toys» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each o --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/1287-pg3454-part12/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/) / [Hemgard Tales, How Brave Walter Hunted…](https://md.mova.elamur.ai/free/en/corpora/questions/books/1287-pg3454-part12/) / t4 # Test 4 · ★ · Hemgard Tales, How Brave Walter Hunted Wolves, part 12: Wa… Mate, what did the miller say got his fattest ram? **Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** miller, Mate · **What happens:** say, get · **To what, where:** Mate, fattest ram · **Speech:** someone speaks here This is test 4 · ★ of lesson 1287 «Hemgard Tales, How Brave Walter Hunted Wolves, part 12: Walter sets off alone into the wood with his toys» 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/1287-pg3454-part12/#t4). ## The question {#question} ```conllu # sent_id = question:books:1287-pg3454-part12:t4:1 # text = Mate, what did the miller say got his fattest ram? 1 Mate mate NOUN NN Number=Sing 8 nsubj _ SpaceAfter=No 2 , , PUNCT , _ 7 punct _ _ 3 what what PRON WP PronType=Int 7 obj _ _ 4 did do AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 7 aux _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 miller miller NOUN NN Number=Sing 7 nsubj _ _ 7 say say VERB VB VerbForm=Inf 1 conj _ _ 8 got get VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 9 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 11 nmod:poss _ _ 10 fattest fat ADJ JJS Degree=Sup 11 amod _ _ 11 ram ram NOUN NN Number=Sing 8 obj _ SpaceAfter=No 12 ? ? PUNCT . _ 8 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past · do-support | the miller | Mate | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | | 2 | **get** | past | Mate | miller's fattest ram | | | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer ram=Stimulus | 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} A pack of wolves from the hills ```conllu # sent_id = question:books:1287-pg3454-part12:t4:o1:1 # text = A pack of wolves from the hills 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 pack pack NOUN NN Number=Sing 0 root _ _ 3 of of ADP IN _ 4 case _ _ 4 wolves wolf NOUN NNS Number=Plur 2 nmod _ _ 5 from from ADP IN _ 7 case _ _ 6 the the DET DT Definite=Def|PronType=Art 7 det _ _ 7 hills hill NOUN NNS Number=Plur 4 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Thieves ```conllu # sent_id = question:books:1287-pg3454-part12:t4:o2:1 # text = Thieves 1 Thieves thief NOUN NNS Number=Plur 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Badgers ```conllu # sent_id = question:books:1287-pg3454-part12:t4:o3:1 # text = Badgers 1 Badgers badger NOUN NNS Number=Plur 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ← Mova's choice · ✓ the right answer {#o4} Wolves ```conllu # sent_id = question:books:1287-pg3454-part12:t4:o4:1 # text = Wolves 1 Wolves wolf NOUN NNS Number=Plur 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: [Hemgard Tales, How Brave Walter Hunted…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/books/1287-pg3454-part12/t3/) - next →: [Hemgard Tales, How Brave Walter Hunted…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/books/1287-pg3454-part12/t5/) - ↑ back to [Hemgard Tales, How Brave Walter Hunted Wolves, part 12: Walter sets off alone into the wood with his toys](https://md.mova.elamur.ai/free/en/corpora/questions/books/1287-pg3454-part12/)