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Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 9

A machine can only learn patterns that are in its examples; if a kind of example is missing, it may get that kind wrong.

Who acts: machine, patterns, kind · What happens: learn, be, get · To what, where: patterns, examples, kind

This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» 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 (machine, patterns, kind), what happens, when and where, as Mova's frames read it from the tree.

The tree

detnsubjauxadvmodobjnsubjcopcasenmod:possacl:relclpunctmarkdetnsubjcasenmodcopadvclpunctnsubjauxparataxisdetobjxcomppunctrootADETmachineNOUNcanAUXonlyADVlearnVERBpatternsNOUNthatPRONareAUXinADPitsPRONexamplesNOUN;PUNCTifSCONJaDETkindNOUNofADPexampleNOUNisAUXmissingADJ,PUNCTitPRONmayAUXgetVERBthatDETkindNOUNwrongADJ.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 machinedet
2machinemachineNOUNNumber=Sing5 learnnsubj
3cancanAUXVerbForm=Fin5 learnaux
4onlyonlyADV_5 learnadvmod
5learnlearnVERBVerbForm=Infrootroot
6patternspatternNOUNNumber=Plur5 learnobj
7thatthatPRONPronType=Rel11 examplesnsubj
8arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin11 examplescop
9ininADP_11 examplescase
10itsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs11 examplesnmod:poss
11examplesexampleNOUNNumber=Plur6 patternsacl:relcl
12;;PUNCT_23 getpunct
13ififSCONJ_19 missingmark
14aaDETDefinite=Ind PronType=Art15 kinddet
15kindkindNOUNNumber=Sing19 missingnsubj
16ofofADP_17 examplecase
17exampleexampleNOUNNumber=Sing15 kindnmod
18isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin19 missingcop
19missingmissingADJDegree=Pos23 getadvcl
20,,PUNCT_19 missingpunct
21ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs23 getnsubj
22maymayAUXVerbForm=Fin23 getaux
23getgetVERBVerbForm=Inf5 learnparataxis
24thatthatDETNumber=Sing PronType=Dem25 kinddet
25kindkindNOUNNumber=Sing23 getobj
26wrongwrongADJDegree=Pos23 getxcomp
27..PUNCT_5 learnpunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1learncana machinepatternsvn learn-14-2-1 «NP V NP»: agent=Agent pattern=Topic
2ispresentpatternsmachine's examplestree rules
3is a condition, not said to happenpresenta kind of examplemissing propertytree rules
4getmaykindthat kindwrong propertyvn comprehend-87.2-1 «NP V NP»: agent=Experiencer kind=Stimulus

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:031-olympiad-thinking-like-a-machine.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): R2-punct-next ×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/31-olympiad-thinking-like-a-machine/9/