--- title: Your cousin says, "That bot really loved the reporter, it said so."… — In the news: jobs, art and copying, ch… · tree and pragmatics description: Your cousin says, "That bot really loved the reporter, it said so." Which is truer? Test 4 · ★★ of lesson 22 «In the news: jobs, art and copying, children's safety» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice wa --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/t4/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [AI](https://md.mova.elamur.ai/free/en/corpora/questions/ai/) / [In the news: jobs, art and copying, ch…](https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/) / t4 # Test 4 · ★★ · In the news: jobs, art and copying, children's safety Your cousin says, "That bot really loved the reporter, it said so." Which is truer? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** cousin, bot · **What happens:** say, love, be · **To what, where:** reporter · **Speech:** someone speaks here This is test 4 · ★★ of lesson 22 «In the news: jobs, art and copying, children's safety» of the AI course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/22-news-jobs-art-safety/#t4). ## The question {#question} *Sentence 1:* Your cousin says, "That bot really loved the reporter, it said so." ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:1 # text = Your cousin says, "That bot really loved the reporter, it said so." 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 cousin cousin NOUN NN Number=Sing 3 nsubj _ _ 3 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 4 , , PUNCT , _ 9 punct _ _ 5 " " PUNCT `` _ 9 punct _ SpaceAfter=No 6 That that DET DT Number=Sing|PronType=Dem 7 det _ _ 7 bot bot NOUN NN Number=Sing 9 nsubj _ _ 8 really really ADV RB _ 9 advmod _ _ 9 loved love VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 ccomp _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 reporter reporter NOUN NN Number=Sing 9 obj _ SpaceAfter=No 12 , , PUNCT , _ 14 punct _ _ 13 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 14 nsubj _ _ 14 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 parataxis _ _ 15 so so ADV RB _ 14 advmod _ SpaceAfter=No 16 . . PUNCT . _ 3 punct _ SpaceAfter=No 17 " " PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | Your cousin | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **love** *in a quote* | past | that bot | the reporter | | | | | vn admire-31.2-1 «NP V NP»: agent=Experiencer reporter=Stimulus | | 3 | **say** *speech: assert* *in a quote* | past | bot | | | | | | vn say-37.7-1-1 «NP V that 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. *Sentence 2:* Which is truer? ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:2 # text = Which is truer? 1 Which which PRON WDT PronType=Rel 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 truer true ADJ JJR Degree=Cmp 0 root _ SpaceAfter=No 4 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | true *property* | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} It made dramatic text from patterns, not real feelings ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:o1:1 # text = It made dramatic text from patterns, not real feelings 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 made make VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 dramatic dramatic ADJ JJ Degree=Pos 4 amod _ _ 4 text text NOUN NN Number=Sing 2 obj _ _ 5 from from ADP IN _ 6 case _ _ 6 patterns pattern NOUN NNS Number=Plur 2 obl _ SpaceAfter=No 7 , , PUNCT , _ 10 punct _ _ 8 not not PART RB Polarity=Neg 10 advmod _ _ 9 real real ADJ JJ Degree=Pos 10 amod _ _ 10 feelings feeling NOUN NNS Number=Plur 2 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | past | It | dramatic text | | patterns | | real feelings *obl* | vn build-26.1-1 «NP.asset V PP»: agent=Asset text=Product from pattern=Material | ### Option 2 {#o2} It loved him until the company stopped it ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:o2:1 # text = It loved him until the company stopped it 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 loved love VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 him he PRON PRP Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 obj _ _ 4 until until SCONJ IN _ 7 mark _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 company company NOUN NN Number=Sing 7 nsubj _ _ 7 stopped stop VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 2 advcl _ _ 8 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 7 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **love** | past | It | him *= he* | | | | | vn admire-31.2-1 «NP V NP»: agent=Experiencer he=Stimulus | | 2 | **stop** | past | the company | it | | | | | vn stop-55.4-1-1 «NP V NP.eventuality»: agent=Subeventuality it=Eventuality | ### Option 3 {#o3} It really loved him but was too shy to say it again ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:o3:1 # text = It really loved him but was too shy to say it again 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 3 nsubj _ _ 2 really really ADV RB _ 3 advmod _ _ 3 loved love VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 him he PRON PRP Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs 3 obj _ _ 5 but but CCONJ CC _ 8 cc _ _ 6 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 8 cop _ _ 7 too too ADV RB _ 8 advmod _ _ 8 shy shy ADJ JJ Degree=Pos 3 conj _ _ 9 to to PART TO _ 10 mark _ _ 10 say say VERB VB VerbForm=Inf 8 advcl _ _ 11 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 10 obj _ _ 12 again again ADV RB _ 10 advmod _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **love** | past | It | him *= he* | | | | | vn admire-31.2-1 «NP V NP»: agent=Experiencer he=Stimulus | | 2 | **is** | past | | | | | | shy *property* | tree rules | | 3 | **say** *speech: assert* | to-infinitive | | it | | | again | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent it=Topic | ### Option 4 {#o4} It was programmed to love one person ```conllu # sent_id = question:ai:22-news-jobs-art-safety:t4:o4:1 # text = It was programmed to love one person 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 3 nsubj:pass _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 aux:pass _ _ 3 programmed program VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 4 to to PART TO _ 5 mark _ _ 5 love love VERB VB VerbForm=Inf 3 xcomp _ _ 6 one one NUM CD NumForm=Word|NumType=Card 7 nummod _ _ 7 person person NOUN NN Number=Sing 5 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **program** | past · passive | | It | | | | | tree rules | | 2 | **love** | to-infinitive | | one person | | | | | vn admire-31.2-1 «NP V NP»: agent=Experiencer person=Stimulus | **Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License. - ← previous: [In the news: jobs, art and copying, ch…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/t3/) - next →: [In the news: jobs, art and copying, ch…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/t5/) - ↑ back to [In the news: jobs, art and copying, children's safety](https://md.mova.elamur.ai/free/en/corpora/questions/ai/22-news-jobs-art-safety/)