--- title: A voice assistant does two guesses in a row: first it turns the soun… — Voice assistants and recommendations · tree and pragmatics description: A voice assistant does two guesses in a row: first it turns the sounds it hears into words, then it guesses what you wanted those words to mean. Who acts: voice assistant, assistant, you, words. A sentence of the lesson «Voice assistants and recommendations» of the ai course of Mova's primary school --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/0/) [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/) / [Voice assistants and recommendations](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/) / 0 # Voice assistants and recommendations, sentence 0 A voice assistant does two guesses in a row: first it turns the sounds it hears into words, then it guesses what you wanted those words to mean. **Who acts:** voice assistant, assistant, you, words · **What happens:** do, turn, hear, guess, want, mean · **To what, where:** two guesses, row, sounds, words 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 (voice assistant, assistant, you, words), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:017-voice-assistants-recommendations.lesson:0 # text = A voice assistant does two guesses in a row: first it turns the sounds it hears into words, then it guesses what you wanted those words to mean. # source = school lesson (ours) # course = ai # lesson = 017-voice-assistants-recommendations.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): R5-strong ×1, R7-rel-agree ×1 1 A a DET DT Definite=Ind|PronType=Art 3 det _ _ 2 voice voice NOUN NN Number=Sing 3 compound _ _ 3 assistant assistant NOUN NN Number=Sing 4 nsubj _ _ 4 does do VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 two two NUM CD NumForm=Word|NumType=Card 6 nummod _ _ 6 guesses guess NOUN NNS Number=Plur 4 obj _ _ 7 in in ADP IN _ 9 case _ _ 8 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 9 row row NOUN NN Number=Sing 6 nmod _ _ 10 : : PUNCT : _ 13 punct _ _ 11 first first ADV RB NumForm=Word|NumType=Ord 13 advmod _ _ 12 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 13 nsubj _ _ 13 turns turn VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 parataxis _ Agree=R7-rel-agree|Haiku=4:conj 14 the the DET DT Definite=Def|PronType=Art 15 det _ _ 15 sounds sound NOUN NNS Number=Plur 13 obj _ _ 16 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 17 nsubj _ _ 17 hears hear VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 15 acl:relcl _ _ 18 into into ADP IN _ 19 case _ _ 19 words word NOUN NNS Number=Plur 13 obl _ _ 20 , , PUNCT , _ 23 punct _ _ 21 then then ADV RB PronType=Dem 23 advmod _ _ 22 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 23 nsubj _ _ 23 guesses guess VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 13 conj _ _ 24 what what PRON WP PronType=Int 23 obj _ _ 25 you you PRON PRP Case=Nom|Person=2|PronType=Prs 26 nsubj _ _ 26 wanted want VERB VBD Mood=Ind|Number=Sing|Person=2|Tense=Past|VerbForm=Fin 24 acl:relcl _ _ 27 those that DET DT Number=Plur|PronType=Dem 28 det _ _ 28 words word NOUN NNS Number=Plur 26 obj _ _ 29 to to PART TO _ 30 mark _ _ 30 mean mean VERB VB VerbForm=Inf 26 xcomp _ Agree=R5-strong|Haiku=28:acl 31 . . 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 | **do** | present | a voice assistant | two guesses | | a row | | | vn act-114-1 «NP V NP»: agent=Agent guess=Eventuality | | 2 | **turn** | present | assistant | the sounds | | words | | first *property* | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent sound=Theme into word=Trajectory | | 3 | **hear** | present | assistant | the sounds *not said here* | | | | | vn see-30.1-1-1 «NP V S»: agent=Experiencer sound=Stimulus | | 4 | **guess** | present | assistant | | | | then | | vn conjecture-29.5-1 «NP V NP»: agent=Agent what=Theme | | 5 | **want** | past | you | that words | | | | | tree rules | | 6 | **mean** *not said to happen* | to-infinitive | that words *not said here* | | | | | | vn intend-61.2-1 «NP V S»: agent=Agent | 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:017-voice-assistants-recommendations.lesson:0`. **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 ×1, R7-rel-agree ×1. **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: [Secrets, scams and always telling a gr…, 17](https://md.mova.elamur.ai/free/en/corpora/school/ai/16-secrets-scams-telling/17/) - next →: [Voice assistants and recommendations, 1](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/1/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/)