--- title: Mate, what's the deal with "squibs and crackers" for trousers? — English Fairy Tales, The Three Heads o… · tree and pragmatics description: Mate, what's the deal with "squibs and crackers" for trousers? Test 4 · ★ of lesson 1975 «English Fairy Tales, The Three Heads of the Well, part 34: the princess helps three golden heads, wins a king, and her stepsister is sent off with sweets» of the books course of Mova's primary school, with the --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/1975-pg7439-part34/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/) / [English Fairy Tales, The Three Heads o…](https://md.mova.elamur.ai/free/en/corpora/questions/books/1975-pg7439-part34/) / t4 # Test 4 · ★ · English Fairy Tales, The Three Heads of the Well, part 34:… Mate, what's the deal with "squibs and crackers" for trousers? **Mova's choice:** option 2 · **The right answer:** option 3 · wrong ✗ · **Who acts:** Mate · **What happens:** be · **To what, where:** deal This is test 4 · ★ of lesson 1975 «English Fairy Tales, The Three Heads of the Well, part 34: the princess helps three golden heads, wins a king, and her stepsister is sent off with sweets» 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/1975-pg7439-part34/#t4). ## The question {#question} ```conllu # sent_id = question:books:1975-pg7439-part34:t4:1 # text = Mate, what's the deal with "squibs and crackers" for trousers? 1 Mate mate NOUN NN Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 6 punct _ _ 3 what what PRON WP PronType=Int 6 nsubj _ SpaceAfter=No 4 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 cop _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 deal deal NOUN NN Number=Sing 1 conj _ _ 7 with with ADP IN _ 9 case _ _ 8 " " PUNCT `` _ 9 punct _ SpaceAfter=No 9 squibs squib NOUN NNS Number=Plur 6 nmod _ _ 10 and and CCONJ CC _ 11 cc _ _ 11 crackers cracker NOUN NNS Number=Plur 9 conj _ SpaceAfter=No 12 " " PUNCT '' _ 9 punct _ _ 13 for for ADP IN _ 14 case _ _ 14 trousers trousers NOUN NNS Number=Plur 9 nmod _ SpaceAfter=No 15 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | Mate and the deal | the deal | | | | with squibs for trousers and crackers | 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 {#o1} His own made-up name for a fine hat that he wore when he went hunting ```conllu # sent_id = question:books:1975-pg7439-part34:t4:o1:1 # text = His own made-up name for a fine hat that he wore when he went hunting 1 His his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 6 nmod:poss _ _ 2 own own ADJ JJ Degree=Pos 6 amod _ _ 3 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 amod _ SpaceAfter=No 4 - - PUNCT HYPH _ 5 punct _ SpaceAfter=No 5 up up ADP RP _ 3 compound:prt _ _ 6 name name NOUN NN Number=Sing 0 root _ _ 7 for for ADP IN _ 10 case _ _ 8 a a DET DT Definite=Ind|PronType=Art 10 det _ _ 9 fine fine ADJ JJ Degree=Pos 10 amod _ _ 10 hat hat NOUN NN Number=Sing 6 nmod _ _ 11 that that SCONJ IN _ 13 mark _ _ 12 he he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 13 nsubj _ _ 13 wore wear VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 10 acl:relcl _ _ 14 when when ADV WRB PronType=Int 16 advmod _ _ 15 he he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 16 nsubj _ _ 16 went go VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 13 ccomp _ _ 17 hunting hunt VERB VBG VerbForm=Ger 16 xcomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make up** | participle | | | | | | | vn comprise-107.2-1 «NP V NP»: agent=Theme | | 2 | **wear** | past | he | a fine hat *not said here* | | | | | tree rules | | 3 | **go** | past | he | | | | | | vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic | | 4 | **hunt** | gerund | he *not said here* | | | | | | vn hunt-35.1 «NP V»: agent=Agent | | 5 | **name** | | His *= he* | | | | | for a fine hat | nom name «communication transitive»: poss=agent for=obl | ### Option 2 · ← Mova's choice {#o2} A real old fashioned word ```conllu # sent_id = question:books:1975-pg7439-part34:t4:o2:1 # text = A real old fashioned word 1 A a DET DT Definite=Ind|PronType=Art 5 det _ _ 2 real real ADJ JJ Degree=Pos 5 amod _ _ 3 old old ADJ JJ Degree=Pos 5 amod _ _ 4 fashioned fashioned ADJ JJ Degree=Pos 5 amod _ _ 5 word word NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} His own made-up name, not real ```conllu # sent_id = question:books:1975-pg7439-part34:t4:o3:1 # text = His own made-up name, not real 1 His his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 6 nmod:poss _ _ 2 own own ADJ JJ Degree=Pos 6 amod _ _ 3 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 6 amod _ SpaceAfter=No 4 - - PUNCT HYPH _ 5 punct _ SpaceAfter=No 5 up up ADP RP _ 3 compound:prt _ _ 6 name name NOUN NN Number=Sing 0 root _ SpaceAfter=No 7 , , PUNCT , _ 9 punct _ _ 8 not not PART RB Polarity=Neg 9 advmod _ _ 9 real real ADJ JJ Degree=Pos 6 amod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make up** | participle | | | | | | | vn comprise-107.2-1 «NP V NP»: agent=Theme | | 2 | **name** | | His *= he* | | | | | | nom name «communication transitive»: poss=agent | ### Option 4 {#o4} A sea creature for trousers ```conllu # sent_id = question:books:1975-pg7439-part34:t4:o4:1 # text = A sea creature for trousers 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 sea sea NOUN NN Number=Sing 3 compound _ _ 3 creature creature NOUN NN Number=Sing 0 root _ _ 4 for for ADP IN _ 5 case _ _ 5 trousers trousers NOUN NNS Number=Plur 3 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. 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