--- title: "Rosalind Franklin got loads of credit for DNA right away". What's t… — Famous discoveries told as stories · tree and pragmatics description: "Rosalind Franklin got loads of credit for DNA right away". What's true? Test 8 of lesson 35 «Famous discoveries told as stories» 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/35-famous-discoveries-stories/t8/) [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/) / [Famous discoveries told as stories](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/) / t8 # Test 8 · Famous discoveries told as stories "Rosalind Franklin got loads of credit for DNA right away". What's true? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** Rosalind · **What happens:** get, be · **To what, where:** loads This is test 8 of lesson 35 «Famous discoveries told as stories» 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/35-famous-discoveries-stories/#t8). ## The question {#question} *Sentence 1:* "Rosalind Franklin got loads of credit for DNA right away". ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:1 # text = "Rosalind Franklin got loads of credit for DNA right away". 1 " " PUNCT `` _ 4 punct _ SpaceAfter=No 2 Rosalind Rosalind PROPN NNP Number=Sing 4 nsubj _ _ 3 Franklin Franklin PROPN NNP Number=Sing 2 flat _ _ 4 got get VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 5 loads load NOUN NNS Number=Plur 4 obj _ _ 6 of of ADP IN _ 7 case _ _ 7 credit credit NOUN NN Number=Sing 5 nmod _ _ 8 for for ADP IN _ 9 case _ _ 9 DNA DNA NOUN NN Number=Sing 7 nmod _ _ 10 right right ADV RB _ 11 advmod _ _ 11 away away ADV RB _ 4 advmod _ SpaceAfter=No 12 " " PUNCT '' _ 4 punct _ SpaceAfter=No 13 . . PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **get** *in a quote* | past | Rosalind | loads of credit for DNA | | | | away *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer load=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. *Sentence 2:* What's true? ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:2 # text = What's true? 1 What what PRON WP PronType=Int 3 nsubj _ SpaceAfter=No 2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 true true ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | true *property* | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} She was the only one who worked on it ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:o1:1 # text = She was the only one who worked on it 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 only only ADJ JJ Degree=Pos 5 amod _ _ 5 one one NOUN NN Number=Sing 0 root _ _ 6 who who PRON WP PronType=Rel 7 nsubj _ _ 7 worked work VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 acl:relcl _ _ 8 on on ADP IN _ 9 case _ _ 9 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 7 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | past | She | the only one | | | | | tree rules | | 2 | **work** | past | the only one | | | | | on it | vn employment-95.3 «NP V PP.theme»: agent=Agent on it=Theme | ### Option 2 {#o2} She got the Nobel Prize all by herself ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:o2:1 # text = She got the Nobel Prize all by herself 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 got get VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 the the DET DT Definite=Def|PronType=Art 5 det _ _ 4 Nobel Nobel PROPN NNP Number=Sing 5 compound _ _ 5 Prize Prize PROPN NNP Number=Sing 2 obj _ _ 6 all all ADV RB _ 8 advmod _ _ 7 by by ADP IN _ 8 case _ _ 8 herself herself PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs|Reflex=Yes 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **get** | past | She | the Nobel Prize | | | | by herself *= she* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer prize=Stimulus | ### Option 3 · ✓ the right answer {#o3} Her part was overlooked at first ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:o3:1 # text = Her part was overlooked at first 1 Her her PRON PRP$ Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 part part NOUN NN Number=Sing 4 nsubj:pass _ _ 3 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 aux:pass _ _ 4 overlooked overlook VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 5 at at ADP IN _ 6 case _ _ 6 first first ADV RB NumForm=Word|NumType=Ord 4 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **overlook** | past · passive | | Her part | | | | | vn neglect-75.1 «NP V NP»: subject=Theme | ### Option 4 {#o4} She discovered penicillin as well ```conllu # sent_id = question:chemistry:35-famous-discoveries-stories:t8:o4:1 # text = She discovered penicillin as well 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 discovered discover VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 penicillin penicillin NOUN NN Number=Sing 2 obj _ _ 4 as as ADV RB ExtPos=ADV 2 advmod _ _ 5 well well ADV RB Degree=Pos 4 fixed _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **discover** | past | She | penicillin | | | | | vn discover-84-1 «NP V NP»: agent=Agent penicillin=Topic | **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: [Famous discoveries told as stories, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/t7/) - next →: [Famous discoveries told as stories, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/t9/) - ↑ back to [Famous discoveries told as stories](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/)