--- title: Some famous tales, like Archimedes running naked through the streets… — Famous discoveries told as stories · tree and pragmatics description: Some famous tales, like Archimedes running naked through the streets shouting "Eureka!", may not have happened, and some scientists, like Rosalind Franklin, did not get fair credit at first. Who acts: famous tales, scientists. A sentence of the lesson «Famous discoveries told as stories» of the chem --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/chemistry/35-famous-discoveries-stories/5/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Chemistry](https://md.mova.elamur.ai/free/en/corpora/school/chemistry/) / [Famous discoveries told as stories](https://md.mova.elamur.ai/free/en/corpora/school/chemistry/35-famous-discoveries-stories/) / 5 # Famous discoveries told as stories, sentence 5 Some famous tales, like Archimedes running naked through the streets shouting "Eureka!", may not have happened, and some scientists, like Rosalind Franklin, did not get fair credit at first. **Who acts:** famous tales, scientists · **What happens:** run, shout, not happen, not get · **To what, where:** streets, Eureka, fair credit This is a sentence of the lesson «Famous discoveries told as stories» of the chemistry course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (famous tales, scientists), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:chemistry:035-famous-discoveries-stories.lesson:5 # text = Some famous tales, like Archimedes running naked through the streets shouting "Eureka!", may not have happened, and some scientists, like Rosalind Franklin, did not get fair credit at first. # source = school lesson (ours) # course = chemistry # lesson = 035-famous-discoveries-stories.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×1 1 Some some DET DT PronType=Ind 3 det _ _ 2 famous famous ADJ JJ Degree=Pos 3 amod _ _ 3 tales tale NOUN NNS Number=Plur 21 nsubj _ _ 4 , , PUNCT , _ 6 punct _ _ 5 like like ADP IN _ 6 case _ _ 6 Archimedes Archimedes PROPN NNP _ 3 nmod _ Agree=R7-rel-agree|Haiku=3:appos 7 running run VERB VBG VerbForm=Ger 3 acl _ _ 8 naked naked ADJ JJ Degree=Pos 7 xcomp _ _ 9 through through ADP IN _ 11 case _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 streets street NOUN NNS Number=Plur 7 obl _ _ 12 shouting shout VERB VBG VerbForm=Ger 7 advcl _ Agree=R5-strong|Haiku=11:acl 13 " " PUNCT `` _ 14 punct _ _ 14 Eureka Eureka PROPN NNP Number=Sing 12 obj _ _ 15 ! ! PUNCT . _ 14 punct _ _ 16 " " PUNCT '' _ 14 punct _ _ 17 , , PUNCT , _ 3 punct _ _ 18 may may AUX MD VerbForm=Fin 21 aux _ _ 19 not not PART RB Polarity=Neg 21 advmod _ _ 20 have have AUX VB VerbForm=Inf 21 aux _ _ 21 happened happen VERB VBN Tense=Past|VerbForm=Part 0 root _ _ 22 , , PUNCT , _ 33 punct _ Agree=R6-punct-agree|Haiku=25:punct 23 and and CCONJ CC _ 25 cc _ _ 24 some some DET DT PronType=Ind 25 det _ _ 25 scientists scientist NOUN NNS Number=Plur 33 nsubj _ _ 26 , , PUNCT , _ 29 punct _ _ 27 like like ADP IN _ 29 case _ _ 28 Rosalind Rosalind PROPN NNP Number=Sing 29 compound _ _ 29 Franklin Franklin PROPN NNP Number=Sing 25 appos _ _ 30 , , PUNCT , _ 29 punct _ _ 31 did do AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 33 aux _ _ 32 not not PART RB Polarity=Neg 33 advmod _ _ 33 get get VERB VB VerbForm=Inf 21 conj _ _ 34 fair fair ADJ JJ Degree=Pos 35 amod _ _ 35 credit credit NOUN NN Number=Sing 33 obj _ _ 36 at at ADP IN _ 37 case _ _ 37 first first ADV RB NumForm=Word|NumType=Ord 33 obl _ _ 38 . . PUNCT . _ 21 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **run** | gerund | some famous tales like Archimedes *not said here* | | | the streets | | naked *property* | vn run-51.3.2-2-1 «NP V PP.location»: agent=Theme through street=Trajectory | | 2 | **shout** *speech: express* | gerund | some famous tales like Archimedes *not said here* | Eureka | | | | | vn manner\_speaking-37.3 «NP V NP»: agent=Agent eureka=Topic | | 3 | **not** **happen** | may · perfect | some famous tales like Archimedes | | | | | | vn occur-48.3-1 «NP V»: agent=Theme | | 4 | **not** **get** | past · do-support | some scientists | fair credit | | | | | vn get-13.5.1-1 «NP V NP PP.source NP.asset»: agent=Agent credit=Theme at first=Asset | 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. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:chemistry:035-famous-discoveries-stories.lesson:5`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Famous discoveries told as stories, 4](https://md.mova.elamur.ai/free/en/corpora/school/chemistry/35-famous-discoveries-stories/4/) - next →: [Famous discoveries told as stories, 6](https://md.mova.elamur.ai/free/en/corpora/school/chemistry/35-famous-discoveries-stories/6/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/chemistry/35-famous-discoveries-stories/)