Using AI to learn, not to copy, sentence 8
And remember a teacher can turn the bot into a lesson: find the three mistakes in its history answer, and you become an expert mistake-spotter.
Who acts: you, teacher · What happens: remember, turn, find, become, answer · To what, where: bot, lesson, three mistakes, history answer, expert mistake spotter · Speech: someone speaks here
This is a sentence of the lesson «Using AI to learn, not to copy» 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 (you, teacher), what happens, when and where, as Mova's frames read it from the tree.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | And | and | CCONJ | _ | 2 remember | cc |
| 2 | remember | remember | VERB | Mood=Imp VerbForm=Fin | root | root |
| 3 | a | a | DET | Definite=Ind PronType=Art | 4 teacher | det |
| 4 | teacher | teacher | NOUN | Number=Sing | 6 turn | nsubj |
| 5 | can | can | AUX | VerbForm=Fin | 6 turn | aux |
| 6 | turn | turn | VERB | VerbForm=Inf | 2 remember | ccomp |
| 7 | the | the | DET | Definite=Def PronType=Art | 8 bot | det |
| 8 | bot | bot | NOUN | Number=Sing | 6 turn | obj |
| 9 | into | into | ADP | _ | 11 lesson | case |
| 10 | a | a | DET | Definite=Ind PronType=Art | 11 lesson | det |
| 11 | lesson | lesson | NOUN | Number=Sing | 6 turn | obl |
| 12 | : | : | PUNCT | _ | 13 find | punct |
| 13 | find | find | VERB | Mood=Imp VerbForm=Fin | 2 remember | conj |
| 14 | the | the | DET | Definite=Def PronType=Art | 16 mistakes | det |
| 15 | three | three | NUM | NumForm=Word NumType=Card | 16 mistakes | nummod |
| 16 | mistakes | mistake | NOUN | Number=Plur | 13 find | obj |
| 17 | in | in | ADP | _ | 20 answer | case |
| 18 | its | its | PRON | Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs | 20 answer | nmod:poss |
| 19 | history | history | NOUN | Number=Sing | 20 answer | compound |
| 20 | answer | answer | NOUN | Number=Sing | 16 mistakes | nmod |
| 21 | , | , | PUNCT | _ | 24 become | punct |
| 22 | and | and | CCONJ | _ | 24 become | cc |
| 23 | you | you | PRON | Case=Nom Person=2 PronType=Prs | 24 become | nsubj |
| 24 | become | become | VERB | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 13 find | conj |
| 25 | an | a | DET | Definite=Ind PronType=Art | 29 spotter | det |
| 26 | expert | expert | ADJ | Degree=Pos | 29 spotter | amod |
| 27 | mistake | mistake | NOUN | Number=Sing | 29 spotter | compound |
| 28 | - | - | PUNCT | _ | 27 mistake | punct |
| 29 | spotter | spotter | NOUN | Number=Sing | 24 become | xcomp |
| 30 | . | . | PUNCT | _ | 2 remember | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | remember | imperative | you not said here | vn characterize-29.2-1-1 «NP V S_ING»: agent=Agent clause=Theme | |||||
| 2 | turn | can | a teacher | the bot | a lesson | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent bot=Theme into lesson=Trajectory | |||
| 3 | find | infinitive | you not said here | the three mistakes | teacher's history answer | vn discover-84 «NP V NP»: agent=Agent mistake=Topic | |||
| 4 | become | present | you | a expert mistake spotter | vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient | ||||
| 5 | answer | teacher | nom answer «communication transitive»: poss=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:010-using-ai-to-learn-not-to-copy.lesson:8.
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/10-using-ai-to-learn-not-to-copy/8/