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How a language model learns: guessing the next word, sentence 12

Bots often give the most common human answer, so many of them pick 7 when asked for a number from 1 to 10.

Who acts: Bots, many · What happens: give, pick, ask · To what, where: common human answer, 7

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 (Bots, many), what happens, when and where, as Mova's frames read it from the tree.

The tree

nsubjadvmoddetadvmodamodamodobjpunctadvmodnsubjcasenmodparataxisobjadvmodadvclcasedetoblcasenmodcasenmodpunctrootBotsNOUNoftenADVgiveVERBtheDETmostADVcommonADJhumanADJanswerNOUN,PUNCTsoADVmanyADJofADPthemPRONpickVERB7NUMwhenADVaskedVERBforADPaDETnumberNOUNfromADP1NUMtoADP10NUM.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1BotsbotNOUNNumber=Plur3 givensubj
2oftenoftenADV_3 giveadvmod
3givegiveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
4thetheDETDefinite=Def PronType=Art8 answerdet
5mostmostADVDegree=Sup6 commonadvmod
6commoncommonADJDegree=Pos8 answeramod
7humanhumanADJDegree=Pos8 answeramod
8answeranswerNOUNNumber=Sing3 giveobj
9,,PUNCT_14 pickpunct
10sosoADV_14 pickadvmod
11manymanyADJDegree=Pos14 picknsubj
12ofofADP_13 themcase
13themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs11 manynmod
14pickpickVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin3 giveparataxis
1577NUMNumForm=Digit NumType=Card14 pickobj
16whenwhenADVPronType=Int17 askedadvmod
17askedaskVERBTense=Past VerbForm=Part Voice=Pass14 pickadvcl
18forforADP_20 numbercase
19aaDETDefinite=Ind PronType=Art20 numberdet
20numbernumberNOUNNumber=Sing17 askedobl
21fromfromADP_22 1case
2211NUMNumForm=Digit NumType=Card20 numbernmod
23totoADP_24 10case
241010NUMNumForm=Digit NumType=Card22 1nmod
25..PUNCT_3 givepunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1givepresentBotsthe common human answeroften propertyvn give-13.1-1 «NP V NP»: agent=Agent answer=Theme
2pickpresentmany of choices7vn chew-39.2 «NP V NP»: agent=Agent 7=Patient
3ask speech: askparticiplemany of choices not said herefor a number from 1 to 10vn inquire-37.1.2 «NP V»: agent=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:ai:002-guessing-the-next-word.lesson:12.

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, 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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/12/