--- title: Your friend, being formal, says, "Kindly distinguish between the rep… — The news: who makes it and how · tree and pragmatics description: Your friend, being formal, says, "Kindly distinguish between the report and the editorial." What is she asking? Test 10 · ★ of lesson 10 «The news: who makes it and how» of the politics course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova' --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/politics/10-the-news-who-makes-it-and-how/t10/) [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/) / [Politics](https://md.mova.elamur.ai/free/en/corpora/questions/politics/) / [The news: who makes it and how](https://md.mova.elamur.ai/free/en/corpora/questions/politics/10-the-news-who-makes-it-and-how/) / t10 # Test 10 · ★ · The news: who makes it and how Your friend, being formal, says, "Kindly distinguish between the report and the editorial." What is she asking? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** friend · **What happens:** be, say, distinguish, ask · **Speech:** someone speaks here This is test 10 · ★ of lesson 10 «The news: who makes it and how» of the politics 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/politics/10-the-news-who-makes-it-and-how/#t10). ## The question {#question} *Sentence 1:* Your friend, being formal, says, "Kindly distinguish between the report and the editorial." ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:1 # text = Your friend, being formal, says, "Kindly distinguish between the report and the editorial." 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 friend friend NOUN NN Number=Sing 7 nsubj _ SpaceAfter=No 3 , , PUNCT , _ 5 punct _ _ 4 being be AUX VBG Tense=Pres|VerbForm=Part 5 cop _ _ 5 formal formal ADJ JJ Degree=Pos 2 amod _ SpaceAfter=No 6 , , PUNCT , _ 2 punct _ _ 7 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 8 , , PUNCT , _ 11 punct _ _ 9 " " PUNCT `` _ 11 punct _ SpaceAfter=No 10 Kindly kindly ADV RB _ 11 advmod _ _ 11 distinguish distinguish VERB VB VerbForm=Inf 7 ccomp _ _ 12 between between ADP IN _ 14 case _ _ 13 the the DET DT Definite=Def|PronType=Art 14 det _ _ 14 report report NOUN NN Number=Sing 11 obl _ _ 15 and and CCONJ CC _ 17 cc _ _ 16 the the DET DT Definite=Def|PronType=Art 17 det _ _ 17 editorial editorial NOUN NN Number=Sing 14 conj _ SpaceAfter=No 18 . . PUNCT . _ 11 punct _ SpaceAfter=No 19 " " PUNCT '' _ 11 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | gerund | | | | | | formal *property* | tree rules | | 2 | **say** *speech: assert* | present | Your friend | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 3 | **distinguish** *in a quote* | infinitive | | | | | | between the report and the editorial; kindly *property* | vn distinguish-23.5-1 «NP V PP»: agent=Agent between report=Theme | 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:* What is she asking? ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:2 # text = What is she asking? 1 What what PRON WP PronType=Int 4 obj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 aux _ _ 3 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 4 nsubj _ _ 4 asking ask VERB VBG Tense=Pres|VerbForm=Part 0 root _ SpaceAfter=No 5 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ask** *speech: ask* | present · progressive | friend | | | | | | vn inquire-37.1.2 «NP V NP.recipient»: agent=Agent what=Recipient | ## The options {#options} ### Option 1 {#o1} Count how many words each story has and say which one is the longest ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:o1:1 # text = Count how many words each story has and say which one is the longest 1 Count count VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 how how ADV WRB PronType=Int 3 advmod _ _ 3 many many ADJ JJ Degree=Pos 4 amod _ _ 4 words word NOUN NNS Number=Plur 1 obj _ _ 5 each each DET DT PronType=Tot 6 det _ _ 6 story story NOUN NN Number=Sing 7 nsubj _ _ 7 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 acl:relcl _ _ 8 and and CCONJ CC _ 9 cc _ _ 9 say say VERB VB Mood=Imp|VerbForm=Fin 1 conj _ _ 10 which which DET WDT PronType=Int 11 det _ _ 11 one one NOUN NN Number=Sing 14 nsubj _ _ 12 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 14 cop _ _ 13 the the DET DT Definite=Def|PronType=Art 14 det _ _ 14 longest long ADJ JJS Degree=Sup 9 ccomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** | imperative | you *not said here* | many words | | | | | vn multiply-108 «NP V NP»: agent=Agent word=Theme | | 2 | **have** | present | each story | many words *not said here* | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent word=Patient | | 3 | **say** *speech: assert* | infinitive | you *not said here* | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent | | 4 | **is** | present | which one | | | | | long *property* | tree rules | ### Option 2 {#o2} Say which channel has the best presenter ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:o2:1 # text = Say which channel has the best presenter 1 Say say VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 which which DET WDT PronType=Int 3 det _ _ 3 channel channel NOUN NN Number=Sing 4 nsubj _ _ 4 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 ccomp _ _ 5 the the DET DT Definite=Def|PronType=Art 7 det _ _ 6 best good ADJ JJS Degree=Sup 7 amod _ _ 7 presenter presenter NOUN NN Number=Sing 4 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | imperative | you *not said here* | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **have** | present | which channel | the best presenter | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent presenter=Patient | ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} Tell apart what happened from what someone thinks about it ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:o3:1 # text = Tell apart what happened from what someone thinks about it 1 Tell tell VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 apart apart ADV RB _ 1 advmod _ _ 3 what what PRON WP PronType=Int 4 nsubj _ _ 4 happened happen VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 1 ccomp _ _ 5 from from ADP IN _ 6 case _ _ 6 what what PRON WP PronType=Rel 4 obl _ _ 7 someone someone PRON NN Number=Sing|PronType=Ind 8 nsubj _ _ 8 thinks think VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 acl:relcl _ _ 9 about about ADP IN _ 10 case _ _ 10 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 8 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **tell apart** *speech: assert* | imperative | you *not said here* | | | | | apart *property* | tree rules | | 2 | **happen** | past | | | | | | | vn occur-48.3-1 «NP V»: agent=Theme | | 3 | **think** *speech: other* | present | someone | | | | | about it | vn focus-87.1-1 «NP V PP.topic»: agent=Agent about it=Topic | ### Option 4 {#o4} Find which story has the biggest picture ```conllu # sent_id = question:politics:10-the-news-who-makes-it-and-how:t10:o4:1 # text = Find which story has the biggest picture 1 Find find VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 which which DET WDT PronType=Int 3 det _ _ 3 story story NOUN NN Number=Sing 4 nsubj _ _ 4 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 ccomp _ _ 5 the the DET DT Definite=Def|PronType=Art 7 det _ _ 6 biggest big ADJ JJS Degree=Sup 7 amod _ _ 7 picture picture NOUN NN Number=Sing 4 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **find** | imperative | you *not said here* | | | | | | vn declare-29.4-1-1 «NP V what S\_INF»: agent=Agent clause=Theme | | 2 | **have** | present | which story | the biggest picture | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent picture=Patient | **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: [The news: who makes it and how, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/politics/10-the-news-who-makes-it-and-how/t9/) - next →: [The news: who makes it and how, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/politics/10-the-news-who-makes-it-and-how/t11/) - ↑ back to [The news: who makes it and how](https://md.mova.elamur.ai/free/en/corpora/questions/politics/10-the-news-who-makes-it-and-how/)