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How a language model learns: guessing the next word, sentence 9

Its training text stops at a certain date, so a bot without a clock or web search may not know today's time or news.

Who acts: training text, bot · What happens: stop, not know · To what, where: certain date

This is a sentence of the lesson «How a language model learns: guessing the next word» of the ai 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 (training text, bot), what happens, when and where, as Mova's frames read it from the tree.

The tree

nmod:posscompoundnsubjcasedetamodoblpunctadvmoddetnsubjcasedetnmodcccompoundconjauxadvmodadvclnmod:posscaseobjccconjpunctrootItsPRONtrainingNOUNtextNOUNstopsVERBatADPaDETcertainADJdateNOUN,PUNCTsoADVaDETbotNOUNwithoutADPaDETclockNOUNorCCONJwebNOUNsearchNOUNmayAUXnotPARTknowVERBtodayNOUN'sPARTtimeNOUNorCCONJnewsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs3 textnmod:poss
2trainingtrainingNOUNNumber=Sing3 textcompound
3texttextNOUNNumber=Sing4 stopsnsubj
4stopsstopVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5atatADP_8 datecase
6aaDETDefinite=Ind PronType=Art8 datedet
7certaincertainADJDegree=Pos8 dateamod
8datedateNOUNNumber=Sing4 stopsobl
9,,PUNCT_4 stopspunct
10sosoADV_21 knowadvmod
11aaDETDefinite=Ind PronType=Art12 botdet
12botbotNOUNNumber=Sing21 knownsubj
13withoutwithoutADP_15 clockcase
14aaDETDefinite=Ind PronType=Art15 clockdet
15clockclockNOUNNumber=Sing12 botnmod
16ororCCONJ_18 searchcc
17webwebNOUNNumber=Sing18 searchcompound
18searchsearchNOUNNumber=Sing15 clockconj
19maymayAUXVerbForm=Fin21 knowaux
20notnotPARTPolarity=Neg21 knowadvmod
21knowknowVERBVerbForm=Inf4 stopsadvcl
22todaytodayNOUNNumber=Sing24 timenmod:poss
23's'sPART_22 todaycase
24timetimeNOUNNumber=Sing21 knowobj
25ororCCONJ_26 newscc
26newsnewsNOUNNumber=Sing24 timeconj
27..PUNCT_4 stopspunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1stoppresentmodel's training texta certain datevn lodge-46 «NP V PP.location»: agent=Theme at date=Location
2not knowmaya bot without a clock or web searchtimevn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer

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:ai:002-guessing-the-next-word.lesson:9.

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): no change. 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/ai/2-guessing-the-next-word/9/