Why the bot agrees too easily, sentence 2
The same training makes them good helpers for some jobs, like fifty kitten names in two seconds or a quick translation of "I love you, Granny" into Polish.
Who acts: same training, Chatbots · What happens: make, love · To what, where: habit, you
This is a sentence of the lesson «Why the bot agrees too easily» 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 (same training, Chatbots), 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 | The | the | DET | Definite=Def PronType=Art | 3 training | det |
| 2 | same | same | ADJ | Degree=Pos | 3 training | amod |
| 3 | training | training | NOUN | Number=Sing | 4 makes | nsubj |
| 4 | makes | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 5 | them | they | PRON | Case=Acc Number=Plur Person=3 PronType=Prs | 4 makes | obj |
| 6 | good | good | ADJ | Degree=Pos | 7 helpers | amod |
| 7 | helpers | helper | NOUN | Number=Plur | 4 makes | xcomp |
| 8 | for | for | ADP | _ | 10 jobs | case |
| 9 | some | some | DET | PronType=Ind | 10 jobs | det |
| 10 | jobs | job | NOUN | Number=Plur | 7 helpers | nmod |
| 11 | , | , | PUNCT | _ | 15 names | punct |
| 12 | like | like | ADP | _ | 15 names | case |
| 13 | fifty | fifty | NUM | NumForm=Word NumType=Card | 15 names | nummod |
| 14 | kitten | kitten | NOUN | Number=Sing | 15 names | compound |
| 15 | names | name | NOUN | Number=Plur | 7 helpers | nmod |
| 16 | in | in | ADP | _ | 18 seconds | case |
| 17 | two | two | NUM | NumForm=Word NumType=Card | 18 seconds | nummod |
| 18 | seconds | second | NOUN | Number=Plur | 15 names | nmod |
| 19 | or | or | CCONJ | _ | 22 translation | cc |
| 20 | a | a | DET | Definite=Ind PronType=Art | 22 translation | det |
| 21 | quick | quick | ADJ | Degree=Pos | 22 translation | amod |
| 22 | translation | translation | NOUN | Number=Sing | 15 names | conj |
| 23 | of | of | ADP | _ | 26 love | mark |
| 24 | " | " | PUNCT | _ | 26 love | punct |
| 25 | I | I | PRON | Case=Nom Number=Sing Person=1 PronType=Prs | 26 love | nsubj |
| 26 | love | love | VERB | Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin | 22 translation | nmod |
| 27 | you | you | PRON | Case=Acc Person=2 PronType=Prs | 26 love | obj |
| 28 | , | , | PUNCT | _ | 29 Granny | punct |
| 29 | Granny | Granny | PROPN | Number=Sing | 26 love | obj |
| 30 | " | " | PUNCT | _ | 26 love | punct |
| 31 | into | into | ADP | _ | 32 Polish | case |
| 32 | Polish | polish | NOUN | Number=Sing | 22 translation | nmod |
| 33 | . | . | PUNCT | _ | 4 makes | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | present | the same training | habit | vn build-26.1-1 «NP.asset V NP»: agent=Asset they=Product | ||||
| 2 | love in a quote | present | Chatbots = chatbot | you | tree rules |
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:006-why-the-bot-agrees-too-easily.lesson:2.
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): R6-punct-agree ×1, R7-rel-agree ×4. 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/6-why-the-bot-agrees-too-easily/2/