--- title: "Tom said, 'I never touched the cake,' with icing on his nose." Whic… — Olympiad: tricky comprehension · tree and pragmatics description: "Tom said, 'I never touched the cake,' with icing on his nose." Which word best describes Tom's claim? Test 10 · ★★★ of lesson 60 «Olympiad: tricky comprehension» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/english/60-olympiad-tricky-comprehension/t10/) [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/) / [English](https://md.mova.elamur.ai/free/en/corpora/questions/english/) / [Olympiad: tricky comprehension](https://md.mova.elamur.ai/free/en/corpora/questions/english/60-olympiad-tricky-comprehension/) / t10 # Test 10 · ★★★ · Olympiad: tricky comprehension "Tom said, 'I never touched the cake,' with icing on his nose." Which word best describes Tom's claim? **Mova's choice:** option 4 · **The right answer:** option 3 · wrong ✗ · **Who acts:** Tom, word · **What happens:** say, not touch, describe, claim · **To what, where:** cake, claim · **Speech:** someone speaks here This is test 10 · ★★★ of lesson 60 «Olympiad: tricky comprehension» of the English 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/english/60-olympiad-tricky-comprehension/#t10). ## The question {#question} *Sentence 1:* "Tom said, 'I never touched the cake,' with icing on his nose." ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:1 # text = "Tom said, 'I never touched the cake,' with icing on his nose." 1 " " PUNCT `` _ 3 punct _ SpaceAfter=No 2 Tom Tom PROPN NNP Number=Sing 3 nsubj _ _ 3 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ SpaceAfter=No 4 , , PUNCT , _ 8 punct _ _ 5 ' ' PUNCT `` _ 8 punct _ SpaceAfter=No 6 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 8 nsubj _ _ 7 never never ADV RB PronType=Neg 8 advmod _ _ 8 touched touch VERB VBD Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin 3 ccomp _ _ 9 the the DET DT Definite=Def|PronType=Art 10 det _ _ 10 cake cake NOUN NN Number=Sing 8 obj _ SpaceAfter=No 11 , , PUNCT , _ 8 punct _ SpaceAfter=No 12 ' ' PUNCT '' _ 8 punct _ _ 13 with with ADP IN _ 14 case _ _ 14 icing icing NOUN NN Number=Sing 8 obl _ _ 15 on on ADP IN _ 17 case _ _ 16 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 17 nmod:poss _ _ 17 nose nose NOUN NN Number=Sing 8 obl _ SpaceAfter=No 18 . . PUNCT . _ 3 punct _ SpaceAfter=No 19 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* *in a quote* | past | Tom | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **not** **touch** *in a quote* | past | Tom | the cake | | | | with icing; on Tom's nose | vn touch-20-1 «NP V NP PP.theme PP.instrument»: agent=Agent cake=Experiencer with icing=Instrument on nose=Theme | 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. *Sentence 2:* Which word best describes Tom's claim? ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:2 # text = Which word best describes Tom's claim? 1 Which which DET WDT PronType=Int 2 det _ _ 2 word word NOUN NN Number=Sing 4 nsubj _ _ 3 best well ADV RBS Degree=Sup 2 advmod _ _ 4 describes describe VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 Tom Tom PROPN NNP Number=Sing 7 nmod:poss _ SpaceAfter=No 6 's 's PART POS _ 5 case _ _ 7 claim claim NOUN NN Number=Sing 4 obj _ SpaceAfter=No 8 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **describe** | present | which word | Tom's claim | | | | | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent claim=Theme | | 2 | **claim** | | Tom | | | | | | nom claim «communication transitive»: poss=agent | ## The options {#options} ### Option 1 {#o1} Polite ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:o1:1 # text = Polite 1 Polite polite NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Certain ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:o2:1 # text = Certain 1 Certain certain NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} Unlikely ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:o3:1 # text = Unlikely 1 Unlikely unlikely ADJ JJ Degree=Pos 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ← Mova's choice {#o4} Proven ```conllu # sent_id = question:english:60-olympiad-tricky-comprehension:t10:o4:1 # text = Proven 1 Proven prove VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **prove** | participle | | | | | | | vn declare-29.4-1-1 «NP V what S\_INF»: agent=Agent | **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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