--- title: A laughing emoji takes one second, and most people added it without… — Laughed at: photos, scores, nicknames and the sp… · tree and pragmatics description: A laughing emoji takes one second, and most people added it without thinking about him at all; that does not make it okay, but it means the "whole class hates me" story in his head was much bigger than the truth, and every refresh fed the hurt. Who acts: laughing emoji, most people, that, it. A sent --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/reflection/10-laughed-at-photos-scores-nicknames-and-the-spotlight/3/) [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/) / [Reflection](https://md.mova.elamur.ai/free/en/corpora/school/reflection/) / [Laughed at: photos, scores, nicknames…](https://md.mova.elamur.ai/free/en/corpora/school/reflection/10-laughed-at-photos-scores-nicknames-and-the-spotlight/) / 3 # Laughed at: photos, scores, nicknames and the spotlight, sentence 3 A laughing emoji takes one second, and most people added it without thinking about him at all; that does not make it okay, but it means the "whole class hates me" story in his head was much bigger than the truth, and every refresh fed the hurt. **Who acts:** laughing emoji, most people, that, it, whole class, story · **What happens:** laugh, take, add, think, not make, mean · **To what, where:** emoji, all, most people, hurt · **Speech:** someone speaks here This is a sentence of the lesson «Laughed at: photos, scores, nicknames and the spotlight» of the reflection 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 (laughing emoji, most people, that, it), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:reflection:010-laughed-at-photos-scores-nicknames-and-the-spotlight.lesson:3 # text = A laughing emoji takes one second, and most people added it without thinking about him at all; that does not make it okay, but it means the "whole class hates me" story in his head was much bigger than the truth, and every refresh fed the hurt. # source = school lesson (ours) # course = reflection # lesson = 010-laughed-at-photos-scores-nicknames-and-the-spotlight.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): R6-punct-agree ×2, R7-rel-agree ×1, R8-pos-agree ×2 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 laughing laugh VERB VBG VerbForm=Ger 3 amod _ _ 3 emoji emoji NOUN NN Number=Sing 4 nsubj _ _ 4 takes take VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 one one NUM CD NumForm=Word|NumType=Card 6 nummod _ _ 6 second second NOUN NN Number=Sing 4 obj _ _ 7 , , PUNCT , _ 11 punct _ _ 8 and and CCONJ CC _ 11 cc _ _ 9 most most ADJ JJS Degree=Sup 10 amod _ Agree=R8-pos-agree|Haiku=10:amod|HaikuPos=ADJ:RBS:Degree=Sup 10 people people NOUN NNS Number=Plur 11 nsubj _ _ 11 added add VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 4 conj _ _ 12 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 11 obj _ _ 13 without without SCONJ IN _ 14 mark _ _ 14 thinking think VERB VBG Tense=Pres|VerbForm=Part 11 advcl _ _ 15 about about ADP IN _ 16 case _ _ 16 him he PRON PRP Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs 14 obl _ _ 17 at at ADP IN _ 18 case _ _ 18 all all DET DT PronType=Tot 14 obl _ _ 19 ; ; PUNCT , _ 23 punct _ _ 20 that that PRON DT Number=Sing|PronType=Dem 23 nsubj _ _ 21 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 23 aux _ _ 22 not not PART RB Polarity=Neg 23 advmod _ _ 23 make make VERB VB VerbForm=Inf 4 parataxis _ Agree=R7-rel-agree|Haiku=4:advcl 24 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 23 obj _ _ 25 okay okay ADJ JJ Degree=Pos 23 xcomp _ _ 26 , , PUNCT , _ 29 punct _ _ 27 but but CCONJ CC _ 29 cc _ _ 28 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 29 nsubj _ _ 29 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 parataxis _ _ 30 the the DET DT Definite=Def|PronType=Art 37 det _ _ 31 " " PUNCT `` _ 34 punct _ Agree=R6-punct-agree|Haiku=33:punct 32 whole whole ADJ JJ Degree=Pos 33 amod _ _ 33 class class NOUN NN Number=Sing 34 nsubj _ _ 34 hates hate VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 37 acl _ _ 35 me I PRON PRP Case=Acc|Number=Sing|Person=1|PronType=Prs 34 obj _ _ 36 " " PUNCT '' _ 34 punct _ Agree=R6-punct-agree|Haiku=37:punct|HaikuPos=PUNCT:``:_ 37 story story NOUN NN Number=Sing 43 nsubj _ _ 38 in in ADP IN _ 40 case _ _ 39 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 40 nmod:poss _ _ 40 head head NOUN NN Number=Sing 37 nmod _ _ 41 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 43 cop _ _ 42 much much ADV RB _ 43 advmod _ _ 43 bigger big ADJ JJR Degree=Cmp 29 ccomp _ _ 44 than than ADP IN _ 46 case _ _ 45 the the DET DT Definite=Def|PronType=Art 46 det _ _ 46 truth truth NOUN NN Number=Sing 43 obl _ _ 47 , , PUNCT , _ 51 punct _ _ 48 and and CCONJ CC _ 51 cc _ _ 49 every every DET DT PronType=Tot 50 det _ _ 50 refresh refresh NOUN NN Number=Sing 51 nsubj _ _ 51 fed feed VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 conj _ Agree=R8-pos-agree|Haiku=4:conj|HaikuPos=VERB:VBN:Mood=Ind|Tense=Past|VerbForm=Fin 52 the the DET DT Definite=Def|PronType=Art 53 det _ _ 53 hurt hurt NOUN NN Number=Sing 51 obj _ _ 54 . . PUNCT . _ 4 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: character - polarity: neg - teacher: changed polarity=neg | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **laugh** | gerund | | | | | | | vn nonverbal\_expression-40.2 «NP V»: agent=Agent | | 2 | **take** | present | a laughing emoji | | | | second | | vn bring-11.3 «NP V NP»: agent=Agent | | 3 | **add** *speech: assert* | past | most people | emoji | | | | | vn mix-22.1-2 «NP V NP»: agent=Agent it=Patient | | 4 | **think** *speech: other* | gerund | most people *not said here* | | | all | | about Tom | vn focus-87.1-1 «NP V PP.topic»: agent=Agent about he=Topic | | 5 | **not** **make** | present · do-support | that | emoji | | | | okay *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset it=Product | | 6 | **mean** | present | it | | | | | | vn intend-61.2-1 «NP V S»: agent=Agent | | 7 | **hate** *in a quote* | present | whole class | most people *= people* | | | | | vn admire-31.2-1 «NP V NP»: agent=Experiencer i=Stimulus | | 8 | **is** | past | the story in Tom's head | | | | | than the truth; big *property* | tree rules | | 9 | **feed** | past | every refresh | the hurt | | | | | vn feeding-39.7 «NP V NP»: agent=Agent hurt=Recipient | 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:reflection:010-laughed-at-photos-scores-nicknames-and-the-spotlight.lesson:3`. **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): R6-punct-agree ×2, R7-rel-agree ×1, R8-pos-agree ×2. **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: [Laughed at: photos, scores, nicknames…, 2](https://md.mova.elamur.ai/free/en/corpora/school/reflection/10-laughed-at-photos-scores-nicknames-and-the-spotlight/2/) - next →: [Laughed at: photos, scores, nicknames…, 4](https://md.mova.elamur.ai/free/en/corpora/school/reflection/10-laughed-at-photos-scores-nicknames-and-the-spotlight/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/reflection/10-laughed-at-photos-scores-nicknames-and-the-spotlight/)