Mova0.5 pre-release⌕
☰
home / corpora / school / Language / Texting, abbreviations and emoji / 3

Texting, abbreviations and emoji, sentence 3

Because texts have no voice or face, capitals, emoji and abbreviations do the job of tone, and different people read them differently, so think about who you're texting.

Who acts: texts, capitals, different people, you, tone · What happens: have, do, read, think, text, job · To what, where: voice, job, capitals

This is a sentence of the lesson «Texting, abbreviations and emoji» of the language 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 (texts, capitals, different people, you), what happens, when and where, as Mova's frames read it from the tree.

The tree

marknsubjadvcldetobjccconjpunctnsubjpunctconjccconjdetobjcasenmodpunctccamodnsubjconjobjadvmodpunctadvmodparataxiscaseobjnsubjauxoblpunctrootBecauseSCONJtextsNOUNhaveVERBnoDETvoiceNOUNorCCONJfaceNOUN,PUNCTcapitalsNOUN,PUNCTemojiNOUNandCCONJabbreviationsNOUNdoVERBtheDETjobNOUNofADPtoneNOUN,PUNCTandCCONJdifferentADJpeopleNOUNreadVERBthemPRONdifferentlyADV,PUNCTsoADVthinkVERBaboutADPwhoPRONyouPRON'reAUXtextingVERB.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1BecausebecauseSCONJ_3 havemark
2textstextNOUNNumber=Plur3 havensubj
3havehaveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin14 doadvcl
4nonoDETPronType=Neg5 voicedet
5voicevoiceNOUNNumber=Sing3 haveobj
6ororCCONJ_7 facecc
7facefaceNOUNNumber=Sing5 voiceconj
8,,PUNCT_9 capitalspunct
9capitalscapitalNOUNNumber=Plur14 donsubj
10,,PUNCT_11 emojipunct
11emojiemojiNOUNNumber=Sing9 capitalsconj
12andandCCONJ_13 abbreviationscc
13abbreviationsabbreviationNOUNNumber=Plur9 capitalsconj
14dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
15thetheDETDefinite=Def PronType=Art16 jobdet
16jobjobNOUNNumber=Sing14 doobj
17ofofADP_18 tonecase
18tonetoneNOUNNumber=Sing16 jobnmod
19,,PUNCT_23 readpunct
20andandCCONJ_23 readcc
21differentdifferentADJDegree=Pos22 peopleamod
22peoplepeopleNOUNNumber=Plur23 readnsubj
23readreadVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin14 doconj
24themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs23 readobj
25differentlydifferentlyADV_23 readadvmod
26,,PUNCT_28 thinkpunct
27sosoADV_28 thinkadvmod
28thinkthinkVERBMood=Imp VerbForm=Fin14 doparataxis
29aboutaboutADP_33 textingcase
30whowhoPRONPronType=Rel33 textingobj
31youyouPRONCase=Nom Person=2 PronType=Prs33 textingnsubj
32'rebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin33 textingaux
33textingtextVERBTense=Pres VerbForm=Part28 thinkobl
34..PUNCT_14 dopunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1havepresenttextsno voice or facevn birth-28.2-1 «NP V NP»: agent=Agent voice=Patient
2dopresentcapitals and emoji and abbreviationsthe job of tonevn act-114-1 «NP V NP»: agent=Agent job=Eventuality
3readpresentdifferent peoplecapitals = capitaldifferently propertyvn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent they=Topic
4think speech: otherinfinitivevn focus-87.1-1 «NP V»: agent=Agent
5textpresent · progressiveyoutree rules
6jobtonenom job «act intransitive»: of=agent

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, 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:language:030-texting-abbreviations-and-emoji.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): R5-strong ×3, R6-punct-agree ×1, R8-pos-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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/language/30-texting-abbreviations-and-emoji/3/