--- title: Photo apps can recognise the same face across many photos and group… — Cars, doctors, scientists and translators · tree and pragmatics description: Photo apps can recognise the same face across many photos and group them together; that means faces are stored somewhere, which is a privacy worry. Who acts: Photo apps, that. A sentence of the lesson «Cars, doctors, scientists and translators» of the ai course of Mova's primary school with its depe --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/12/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [Cars, doctors, scientists and translat…](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/) / 12 # Cars, doctors, scientists and translators, sentence 12 Photo apps can recognise the same face across many photos and group them together; that means faces are stored somewhere, which is a privacy worry. **Who acts:** Photo apps, that · **What happens:** recognise, group, mean, store, be · **To what, where:** same face, many photos, apps, faces, privacy worry · **Speech:** someone speaks here This is a sentence of the lesson «Cars, doctors, scientists and translators» 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 (Photo apps, that), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:018-cars-doctors-translators.lesson:12 # text = Photo apps can recognise the same face across many photos and group them together; that means faces are stored somewhere, which is a privacy worry. # source = school lesson (ours) # course = ai # lesson = 018-cars-doctors-translators.lesson # annotation = 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 1 Photo photo NOUN NN Number=Sing 2 compound _ _ 2 apps app NOUN NNS Number=Plur 4 nsubj _ _ 3 can can AUX MD VerbForm=Fin 4 aux _ _ 4 recognise recognise VERB VB VerbForm=Inf 0 root _ _ 5 the the DET DT Definite=Def|PronType=Art 7 det _ _ 6 same same ADJ JJ Degree=Pos 7 amod _ _ 7 face face NOUN NN Number=Sing 4 obj _ _ 8 across across ADP IN _ 10 case _ _ 9 many many ADJ JJ Degree=Pos 10 amod _ _ 10 photos photo NOUN NNS Number=Plur 4 obl _ _ 11 and and CCONJ CC _ 12 cc _ _ 12 group group VERB VB VerbForm=Inf 4 conj _ _ 13 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 12 obj _ _ 14 together together ADV RB _ 12 advmod _ _ 15 ; ; PUNCT , _ 17 punct _ _ 16 that that PRON DT Number=Sing|PronType=Dem 17 nsubj _ _ 17 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 parataxis _ _ 18 faces face NOUN NNS Number=Plur 20 nsubj:pass _ _ 19 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 20 aux:pass _ _ 20 stored store VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 17 ccomp _ _ 21 somewhere somewhere ADV RB PronType=Ind 20 advmod _ _ 22 , , PUNCT , _ 27 punct _ _ 23 which which PRON WDT PronType=Rel 27 nsubj _ _ 24 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 27 cop _ _ 25 a a DET DT Definite=Ind|PronType=Art 27 det _ _ 26 privacy privacy NOUN NN Number=Sing 27 compound _ _ 27 worry worry NOUN NN Number=Sing 17 parataxis _ _ 28 . . PUNCT . _ 4 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **recognise** | can | Photo apps | the same face | | many photos | | | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer face=Stimulus | | 2 | **group** | infinitive | Photo apps *not said here* | apps *= app* | | | | together *property* | vn classify-29.10 «NP V NP»: agent=Agent they=Theme | | 3 | **mean** | present | that | | | | | | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic | | 4 | **store** | present · passive | | faces | | | | somewhere *property* | vn keep-15.2 «NP V NP»: subject=Theme | | 5 | **is a** | present | | a privacy worry | | | | | 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](https://creativecommons.org/licenses/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:018-cars-doctors-translators.lesson:12`. **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](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Cars, doctors, scientists and translat…, 11](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/11/) - next →: [Cars, doctors, scientists and translat…, 13](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/13/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/)