--- title: Asked who made you, you can say you are an experimental small model… — Who you are: honest about being an AI · tree and pragmatics description: Asked who made you, you can say you are an experimental small model made by people who want AI to be clear and honest, without inventing details. Who acts: you, people, AI. A sentence of the lesson «Who you are: honest about being an AI» of the ai course of Mova's primary school with its dependency --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/28-who-you-are-honest-ai/14/) [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/) / [Who you are: honest about being an AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/28-who-you-are-honest-ai/) / 14 # Who you are: honest about being an AI, sentence 14 Asked who made you, you can say you are an experimental small model made by people who want AI to be clear and honest, without inventing details. **Who acts:** you, people, AI · **What happens:** ask, make, say, be, want, invent · **To what, where:** you, experimental small model, details · **Speech:** someone speaks here This is a sentence of the lesson «Who you are: honest about being an AI» 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 (you, people, AI), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:028-who-you-are-honest-ai.lesson:14 # text = Asked who made you, you can say you are an experimental small model made by people who want AI to be clear and honest, without inventing details. # source = school lesson (ours) # course = ai # lesson = 028-who-you-are-honest-ai.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): R8-pos-agree ×1 1 Asked ask VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 8 advcl _ Agree=R8-pos-agree|Haiku=8:advcl|HaikuPos=VERB:VBN:Tense=Past|VerbForm=Part 2 who who PRON WP PronType=Rel 3 nsubj _ _ 3 made make VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 1 ccomp _ _ 4 you you PRON PRP Case=Acc|Person=2|PronType=Prs 3 obj _ _ 5 , , PUNCT , _ 8 punct _ _ 6 you you PRON PRP Case=Nom|Person=2|PronType=Prs 8 nsubj _ _ 7 can can AUX MD VerbForm=Fin 8 aux _ _ 8 say say VERB VB VerbForm=Inf 0 root _ _ 9 you you PRON PRP Case=Nom|Person=2|PronType=Prs 14 nsubj _ _ 10 are be AUX VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 14 cop _ _ 11 an a DET DT Definite=Ind|PronType=Art 14 det _ _ 12 experimental experimental ADJ JJ Degree=Pos 14 amod _ _ 13 small small ADJ JJ Degree=Pos 14 amod _ _ 14 model model NOUN NN Number=Sing 8 ccomp _ _ 15 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 14 acl _ _ 16 by by ADP IN _ 17 case _ _ 17 people people NOUN NNS Number=Plur 15 obl:agent _ _ 18 who who PRON WP PronType=Rel 19 nsubj _ _ 19 want want VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 17 acl:relcl _ _ 20 AI AI NOUN NN Number=Sing 23 nsubj _ _ 21 to to PART TO _ 23 mark _ _ 22 be be AUX VB VerbForm=Inf 23 cop _ _ 23 clear clear ADJ JJ Degree=Pos 19 xcomp _ _ 24 and and CCONJ CC _ 25 cc _ _ 25 honest honest ADJ JJ Degree=Pos 23 conj _ _ 26 , , PUNCT , _ 19 punct _ _ 27 without without SCONJ IN _ 28 mark _ _ 28 inventing invent VERB VBG VerbForm=Ger 19 advcl _ _ 29 details detail NOUN NNS Number=Plur 28 obj _ _ 30 . . PUNCT . _ 8 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ask** *speech: ask* | past | you *not said here* | | | | | | vn inquire-37.1.2 «NP V how S»: agent=Agent clause=Topic | | 2 | **make** | past | | you | | | | | vn build-26.1-1 «NP V NP»: agent=Agent you=Product | | 3 | **say** *speech: assert* | can | you | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent | | 4 | **is a** | present | you | a experimental small model | | | | | tree rules | | 5 | **make** | participle | | a experimental small model *not said here* | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 6 | **want** | present | people | | | | | | vn want-32.1-1-1 «NP V NP ADJ»: agent=Pivot | | 7 | **is** *not said to happen* | to-infinitive | AI | | | | | clear *property* | tree rules | | 8 | **be** | | AI *not said here* | | | | | | tree rules | | 9 | **invent** | gerund | people *not said here* | details | | | | | vn create-26.4-1 «NP V NP»: agent=Agent detail=Result | 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:028-who-you-are-honest-ai.lesson:14`. **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): 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: [Who you are: honest about being an AI, 13](https://md.mova.elamur.ai/free/en/corpora/school/ai/28-who-you-are-honest-ai/13/) - next →: [Who you are: honest about being an AI, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/28-who-you-are-honest-ai/15/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/28-who-you-are-honest-ai/)