--- title: But every one of these helpers is a guesser: captions can turn a wor… — Cars, doctors, scientists and translators · tree and pragmatics description: But every one of these helpers is a guesser: captions can turn a word into "duck", a translation can twist an important letter, and a quiz made by AI can have a wrong answer. Who acts: one, captions, translation, quiz. A sentence of the lesson «Cars, doctors, scientists and translators» of the ai co --- [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/2/) [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/) / 2 # Cars, doctors, scientists and translators, sentence 2 But every one of these helpers is a guesser: captions can turn a word into "duck", a translation can twist an important letter, and a quiz made by AI can have a wrong answer. **Who acts:** one, captions, translation, quiz · **What happens:** be, turn, twist, make, have · **To what, where:** guesser, word, important letter, quiz, wrong answer 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 (one, captions, translation, quiz), 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:2 # text = But every one of these helpers is a guesser: captions can turn a word into "duck", a translation can twist an important letter, and a quiz made by AI can have a wrong answer. # 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): R6-punct-agree ×3, R8-pos-agree ×1 1 But but CCONJ CC _ 9 cc _ _ 2 every every DET DT PronType=Tot 3 det _ _ 3 one one NOUN NN Number=Sing 9 nsubj _ _ 4 of of ADP IN _ 6 case _ _ 5 these this DET DT Number=Plur|PronType=Dem 6 det _ _ 6 helpers helper NOUN NNS Number=Plur 3 nmod _ _ 7 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 9 cop _ _ 8 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 9 guesser guesser NOUN NN Number=Sing 0 root _ _ 10 : : PUNCT : _ 13 punct _ _ 11 captions caption NOUN NNS Number=Plur 13 nsubj _ _ 12 can can AUX MD VerbForm=Fin 13 aux _ _ 13 turn turn VERB VB VerbForm=Inf 9 parataxis _ _ 14 a a DET DT Definite=Ind|PronType=Art 15 det _ _ 15 word word NOUN NN Number=Sing 13 obj _ _ 16 into into ADP IN _ 18 case _ _ 17 " " PUNCT `` _ 18 punct _ _ 18 duck duck NOUN NN Number=Sing 13 obl _ _ 19 " " PUNCT '' _ 18 punct _ Agree=R6-punct-agree|Haiku=13:punct 20 , , PUNCT , _ 24 punct _ Agree=R6-punct-agree|Haiku=9:punct 21 a a DET DT Definite=Ind|PronType=Art 22 det _ _ 22 translation translation NOUN NN Number=Sing 24 nsubj _ _ 23 can can AUX MD VerbForm=Fin 24 aux _ _ 24 twist twist VERB VB VerbForm=Inf 13 conj _ _ 25 an a DET DT Definite=Ind|PronType=Art 27 det _ _ 26 important important ADJ JJ Degree=Pos 27 amod _ _ 27 letter letter NOUN NN Number=Sing 24 obj _ _ 28 , , PUNCT , _ 36 punct _ _ 29 and and CCONJ CC _ 36 cc _ _ 30 a a DET DT Definite=Ind|PronType=Art 31 det _ _ 31 quiz quiz NOUN NN Number=Sing 36 nsubj _ _ 32 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 31 acl _ _ 33 by by ADP IN _ 34 case _ _ 34 AI ai NOUN NN Number=Sing 32 obl:agent _ Agree=R8-pos-agree|Haiku=32:obl:agent|HaikuPos=PROPN:NNP:Number=Sing 35 can can AUX MD VerbForm=Fin 36 aux _ _ 36 have have VERB VB VerbForm=Inf 24 conj _ _ 37 a a DET DT Definite=Ind|PronType=Art 39 det _ _ 38 wrong wrong ADJ JJ Degree=Pos 39 amod _ _ 39 answer answer NOUN NN Number=Sing 36 obj _ _ 40 . . PUNCT . _ 9 punct _ Agree=R6-punct-agree|Haiku=24:punct ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | every one of this helpers | a guesser | | | | | tree rules | | 2 | **turn** | can | captions | a word | | | | into duck *result* | vn roll-51.3.1 «NP V NP PP.result»: agent=Agent word=Theme into duck=Result | | 3 | **twist** | can | a translation | a important letter | | | | | vn roll-51.3.1 «NP V NP.theme»: agent=Agent letter=Theme | | 4 | **make** | participle | | a quiz *not said here* | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 5 | **have** | can | a quiz | a wrong answer | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent answer=Patient | 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:2`. **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): R6-punct-agree ×3, R8-pos-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: [Cars, doctors, scientists and translat…, 1](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/1/) - next →: [Cars, doctors, scientists and translat…, 3](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/3/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/)