Voice assistants and recommendations, sentence 10
Face recognition looks for patterns in faces, so very similar faces, such as identical twins, can sometimes fool it; adding a PIN makes a phone safer.
Who acts: Face recognition, similar faces · What happens: look, fool, add, make · To what, where: recognition, PIN, phone · Speech: someone speaks here
This is a sentence of the lesson «Voice assistants and recommendations» 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 (Face recognition, similar faces), 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 | Face | face | NOUN | Number=Sing | 2 recognition | compound |
| 2 | recognition | recognition | NOUN | Number=Sing | 3 looks | nsubj |
| 3 | looks | look | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | for | for | ADP | _ | 5 patterns | case |
| 5 | patterns | pattern | NOUN | Number=Plur | 3 looks | obl |
| 6 | in | in | ADP | _ | 7 faces | case |
| 7 | faces | face | NOUN | Number=Plur | 5 patterns | nmod |
| 8 | , | , | PUNCT | _ | 12 faces | punct |
| 9 | so | so | ADV | _ | 12 faces | advmod |
| 10 | very | very | ADV | _ | 11 similar | advmod |
| 11 | similar | similar | ADJ | Degree=Pos | 12 faces | amod |
| 12 | faces | face | NOUN | Number=Plur | 21 fool | nsubj |
| 13 | , | , | PUNCT | _ | 17 twins | punct |
| 14 | such | such | ADJ | Degree=Pos ExtPos=ADP | 17 twins | case |
| 15 | as | as | ADP | _ | 14 such | fixed |
| 16 | identical | identical | ADJ | Degree=Pos | 17 twins | amod |
| 17 | twins | twin | NOUN | Number=Plur | 12 faces | nmod |
| 18 | , | , | PUNCT | _ | 21 fool | punct |
| 19 | can | can | AUX | VerbForm=Fin | 21 fool | aux |
| 20 | sometimes | sometimes | ADV | _ | 21 fool | advmod |
| 21 | fool | fool | VERB | Mood=Imp VerbForm=Fin | 3 looks | parataxis |
| 22 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 21 fool | obj |
| 23 | ; | ; | PUNCT | _ | 24 adding | punct |
| 24 | adding | add | VERB | Tense=Pres VerbForm=Part | 3 looks | advcl |
| 25 | a | a | DET | Definite=Ind PronType=Art | 26 PIN | det |
| 26 | PIN | pin | NOUN | Number=Sing | 24 adding | obj |
| 27 | makes | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 24 adding | ccomp |
| 28 | a | a | DET | Definite=Ind PronType=Art | 29 phone | det |
| 29 | phone | phone | NOUN | Number=Sing | 27 makes | obj |
| 30 | safer | safe | ADJ | Degree=Cmp | 27 makes | xcomp |
| 31 | . | . | PUNCT | _ | 3 looks | punct |
Pragmatics
- form
- statement
- act
- assert
- voice
- narrator
- polarity
- none
- teacher
- kept the draft
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | look | present | Face recognition | for patterns in faces | vn rummage-35.5 «NP V PP.location PP.theme»: agent=Agent for pattern=Theme | ||||
| 2 | fool | can | similar faces such identical twins | recognition | sometimes property | vn trick-59.2 «NP V NP»: agent=Agent it=Patient | |||
| 3 | add speech: assert | gerund | Face recognition not said here | a PIN | tree rules | ||||
| 4 | make | present | a phone | safe property | vn build-26.1-1 «NP.asset V NP»: agent=Asset phone=Product |
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:017-voice-assistants-recommendations.lesson:10.
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): R5-strong ×3. 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/17-voice-assistants-recommendations/10/