Exam question 1 · What is AI? Pattern-guessers, not people
Which of the following statements most accurately characterises contemporary artificial intelligence?
Mova's choice: option 4 · The right answer: option 4 · right ✓ · What happens: follow, characteris · To what, where: contemporary artificial intelligence
This is exam question 1 of lesson 1 «What is AI? Pattern-guessers, not people» of the AI course of Mova's primary school, asked in stiff, formal language. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.
The question
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Which | which | PRON | PronType=Rel | 8 characterises | nsubj |
| 2 | of | of | ADP | _ | 5 statements | case |
| 3 | the | the | DET | Definite=Def PronType=Art | 5 statements | det |
| 4 | following | follow | VERB | VerbForm=Ger | 5 statements | amod |
| 5 | statements | statement | NOUN | Number=Plur | 8 characterises | obl |
| 6 | most | most | ADV | Degree=Sup | 7 accurately | advmod |
| 7 | accurately | accurately | ADV | _ | 8 characterises | advmod |
| 8 | characterises | characteris | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 9 | contemporary | contemporary | ADJ | Degree=Pos | 11 intelligence | amod |
| 10 | artificial | artificial | ADJ | Degree=Pos | 11 intelligence | amod |
| 11 | intelligence | intelligence | NOUN | Number=Sing | 8 characterises | obj |
| 12 | ? | ? | PUNCT | _ | 8 characterises | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | follow | gerund | vn occur-48.3-1 «NP V»: agent=Theme | ||||||
| 2 | characteris | present | contemporary artificial intelligence | of the following statements; accurately property | 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.
The options
Option 1
Recordings of answers composed in advance by human operators
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Recordings | recording | NOUN | Number=Plur | 4 composed | nsubj:pass |
| 2 | of | of | ADP | _ | 3 answers | case |
| 3 | answers | answer | NOUN | Number=Plur | 1 Recordings | nmod |
| 4 | composed | compose | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 5 | in | in | ADP | _ | 6 advance | case |
| 6 | advance | advance | NOUN | Number=Sing | 4 composed | obl |
| 7 | by | by | ADP | _ | 9 operators | case |
| 8 | human | human | ADJ | Degree=Pos | 9 operators | amod |
| 9 | operators | operator | NOUN | Number=Plur | 4 composed | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | compose | participle · passive | human operators | Recordings of answers | advance | vn create-26.4-1 «NP V NP»: agent=Agent subject=Result |
Option 2
Living organisms of electronic construction possessing their own secret intentions
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Living | living | ADJ | Degree=Pos | 2 organisms | amod |
| 2 | organisms | organism | NOUN | Number=Plur | root | root |
| 3 | of | of | ADP | _ | 5 construction | case |
| 4 | electronic | electronic | ADJ | Degree=Pos | 5 construction | amod |
| 5 | construction | construction | NOUN | Number=Sing | 2 organisms | nmod |
| 6 | possessing | possess | VERB | VerbForm=Ger | 2 organisms | acl |
| 7 | their | their | PRON | Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs | 10 intentions | nmod:poss |
| 8 | own | own | ADJ | Degree=Pos | 10 intentions | amod |
| 9 | secret | secret | ADJ | Degree=Pos | 10 intentions | amod |
| 10 | intentions | intention | NOUN | Number=Plur | 6 possessing | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | possess | gerund | Living organisms of electronic construction not said here | organisms's own secret intentions | vn own-100.1 «NP V NP»: agent=Pivot intention=Theme | ||||
| 2 | intend | organisms = organism | nom intention «cognition transitive»: poss=agent |
Option 3
Mechanical devices that comprehend the world as animals do
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Mechanical | mechanical | ADJ | Degree=Pos | 2 devices | amod |
| 2 | devices | device | NOUN | Number=Plur | 9 do | nsubj |
| 3 | that | that | PRON | PronType=Rel | 4 comprehend | nsubj |
| 4 | comprehend | comprehend | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 2 devices | acl:relcl |
| 5 | the | the | DET | Definite=Def PronType=Art | 6 world | det |
| 6 | world | world | NOUN | Number=Sing | 4 comprehend | obj |
| 7 | as | as | ADP | _ | 8 animals | case |
| 8 | animals | animal | NOUN | Number=Plur | 4 comprehend | obl |
| 9 | do | do | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | comprehend | present | Mechanical devices | the world | as animals | vn comprehend-87.2-1 «NP V NP PP.attribute»: agent=Experiencer world=Stimulus as animal=Attribute | |||
| 2 | do | present | Mechanical devices | vn act-114-1 «NP V»: agent=Agent |
Option 4 · ← Mova's choice · ✓ the right answer
Computer programs that derive patterns from very large quantities of examples
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Computer | computer | NOUN | Number=Sing | 2 programs | compound |
| 2 | programs | program | NOUN | Number=Plur | root | root |
| 3 | that | that | PRON | PronType=Rel | 4 derive | nsubj |
| 4 | derive | derive | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 2 programs | acl:relcl |
| 5 | patterns | pattern | NOUN | Number=Plur | 4 derive | obj |
| 6 | from | from | ADP | _ | 9 quantities | case |
| 7 | very | very | ADV | _ | 8 large | advmod |
| 8 | large | large | ADJ | Degree=Pos | 9 quantities | amod |
| 9 | quantities | quantity | NOUN | Number=Plur | 4 derive | obl |
| 10 | of | of | ADP | _ | 11 examples | case |
| 11 | examples | example | NOUN | Number=Plur | 9 quantities | nmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | derive | present | Computer programs | patterns | large quantities of examples | vn create-26.4 «NP V NP PP.material»: agent=Agent pattern=Result from quantity=Material |
Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/ai/1-what-is-ai/e1/