--- title: Two bikes look the same; one is steel and one is aluminium. Which is… — Metals and what they're good for · tree and pragmatics description: Two bikes look the same; one is steel and one is aluminium. Which is lighter? Test 9 of lesson 31 «Metals and what they're good for» of the chemistry course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/chemistry/31-metals-what-theyre-good-for/t9/) [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/) / [Chemistry](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/) / [Metals and what they're good for](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/31-metals-what-theyre-good-for/) / t9 # Test 9 · Metals and what they're good for Two bikes look the same; one is steel and one is aluminium. Which is lighter? **Mova's choice:** option 3 · **The right answer:** option 1 · wrong ✗ · **Who acts:** Two bikes · **What happens:** look, be · **To what, where:** same, one steel, one aluminium This is test 9 of lesson 31 «Metals and what they're good for» of the chemistry 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/chemistry/31-metals-what-theyre-good-for/#t9). ## The question {#question} *Sentence 1:* Two bikes look the same; one is steel and one is aluminium. ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:1 # text = Two bikes look the same; one is steel and one is aluminium. 1 Two two NUM CD NumForm=Word|NumType=Card 2 nummod _ _ 2 bikes bike NOUN NNS Number=Plur 3 nsubj _ _ 3 look look VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 same same ADJ JJ Degree=Pos 3 obj _ SpaceAfter=No 6 ; ; PUNCT , _ 9 punct _ _ 7 one one NUM CD NumForm=Word|NumType=Card 9 nummod _ _ 8 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 9 cop _ _ 9 steel steel NOUN NN Number=Sing 3 parataxis _ _ 10 and and CCONJ CC _ 13 cc _ _ 11 one one NUM CD NumForm=Word|NumType=Card 13 nummod _ _ 12 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 13 cop _ _ 13 aluminium aluminium NOUN NN Number=Sing 9 conj _ SpaceAfter=No 14 . . PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **look** | present | Two bikes | the same | | | | | vn seem-109-1-1 «NP V NP»: agent=Theme same=Attribute | | 2 | **is a** | present | | one steel and one aluminium | | | | | tree rules | | 3 | **is a** | present | | one aluminium | | | | | 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. *Sentence 2:* Which is lighter? ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:2 # text = Which is lighter? 1 Which which PRON WDT PronType=Rel 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 lighter light ADJ JJR Degree=Cmp 0 root _ SpaceAfter=No 4 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | light *property* | tree rules | ## The options {#options} ### Option 1 · ✓ the right answer {#o1} The aluminium one ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:o1:1 # text = The aluminium one 1 The the DET DT Definite=Def|PronType=Art 3 det _ _ 2 aluminium aluminium NOUN NN Number=Sing 3 compound _ _ 3 one one NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} It depends on the colour ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:o2:1 # text = It depends on the colour 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 depends depend VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 on on ADP IN _ 5 case _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 colour colour NOUN NN Number=Sing 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **depend** | present | It | | | | | on the colour | vn rely-70 «NP V PP.theme S\_ING»: agent=Agent on colour=Theme | ### Option 3 · ← Mova's choice {#o3} They weigh the same ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:o3:1 # text = They weigh the same 1 They they PRON PRP Case=Nom|Number=Plur|Person=3|PronType=Prs 2 nsubj _ _ 2 weigh weigh VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 same same ADJ JJ Degree=Pos 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **weigh** | present | They | the same | | | | | vn register-54.1-2-1 «NP V NP.value»: agent=Theme same=Value | ### Option 4 {#o4} The steel one ```conllu # sent_id = question:chemistry:31-metals-what-theyre-good-for:t9:o4:1 # text = The steel one 1 The the DET DT Definite=Def|PronType=Art 3 det _ _ 2 steel steel NOUN NN Number=Sing 3 compound _ _ 3 one one NOUN NN Number=Sing 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. 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