How a language model learns: guessing the next word, sentence 5
The answer is worked out on huge computers far away, in buildings called data centres; nobody is typing it.
Who acts: buildings, nobody · What happens: work out, call, type · To what, where: answer, huge computers, data centres · Speech: someone speaks here
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 (buildings, nobody), 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 | 2 answer | det |
| 2 | answer | answer | NOUN | Number=Sing | 4 worked | nsubj:pass |
| 3 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 4 worked | aux:pass |
| 4 | worked | work | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 5 | out | out | ADP | _ | 4 worked | compound:prt |
| 6 | on | on | ADP | _ | 8 computers | case |
| 7 | huge | huge | ADJ | Degree=Pos | 8 computers | amod |
| 8 | computers | computer | NOUN | Number=Plur | 4 worked | obl |
| 9 | far | far | ADV | Degree=Pos | 10 away | advmod |
| 10 | away | away | ADV | _ | 8 computers | advmod |
| 11 | , | , | PUNCT | _ | 13 buildings | punct |
| 12 | in | in | ADP | _ | 13 buildings | case |
| 13 | buildings | building | NOUN | Number=Plur | 4 worked | conj |
| 14 | called | call | VERB | Tense=Past VerbForm=Part Voice=Pass | 13 buildings | acl |
| 15 | data | data | NOUN | Number=Sing | 16 centres | compound |
| 16 | centres | centre | NOUN | Number=Plur | 14 called | obj |
| 17 | ; | ; | PUNCT | _ | 4 worked | punct |
| 18 | nobody | nobody | PRON | Number=Sing PronType=Neg | 20 typing | nsubj |
| 19 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 20 typing | aux |
| 20 | typing | type | VERB | Tense=Pres VerbForm=Part | 4 worked | parataxis |
| 21 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 20 typing | obj |
| 22 | . | . | PUNCT | _ | 4 worked | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | work out | present · passive | the answer | huge computers | vn discover-84 «NP V NP»: subject=Topic | ||||
| 2 | call | participle | buildings not said here | data centres | vn initiate_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent centre=Recipient | ||||
| 3 | type | present · progressive | nobody | answer | vn scribble-25.2-1 «NP V NP»: agent=Agent it=Theme |
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:5.
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/5/