--- title: TV news: "The minister was heard muttering the f-word into a live mi… — Soft words for hard things: rudeness a… · tree and pragmatics description: TV news: "The minister was heard muttering the f-word into a live microphone." What happened? Test 1 · ★ of lesson 38 «Soft words for hard things: rudeness and swearing» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mov --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/euphemisms/38-drat-and-the-f-word/t1/) [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/) / [Euphemisms](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/) / [Soft words for hard things: rudeness a…](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/38-drat-and-the-f-word/) / t1 # Test 1 · ★ · Soft words for hard things: rudeness and swearing TV news: "The minister was heard muttering the f-word into a live microphone." What happened? **Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **Who acts:** minister · **What happens:** hear, mutter, happen · **To what, where:** minister, f word, live microphone This is test 1 · ★ of lesson 38 «Soft words for hard things: rudeness and swearing» of the euphemisms 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/euphemisms/38-drat-and-the-f-word/#t1). ## The question {#question} *Sentence 1:* TV news: "The minister was heard muttering the f-word into a live microphone." ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:1 # text = TV news: "The minister was heard muttering the f-word into a live microphone." 1 TV TV NOUN NN Number=Sing 2 compound _ _ 2 news news NOUN NN Number=Sing 0 root _ SpaceAfter=No 3 : : PUNCT : _ 8 punct _ _ 4 " " PUNCT `` _ 8 punct _ SpaceAfter=No 5 The the DET DT Definite=Def|PronType=Art 6 det _ _ 6 minister minister NOUN NN Number=Sing 8 nsubj _ _ 7 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 8 aux:pass _ _ 8 heard hear VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 2 acl:relcl _ _ 9 muttering mutter VERB VBG VerbForm=Ger 8 xcomp _ _ 10 the the DET DT Definite=Def|PronType=Art 13 det _ _ 11 f f NOUN NN Number=Sing 13 compound _ SpaceAfter=No 12 - - PUNCT HYPH _ 11 punct _ SpaceAfter=No 13 word word NOUN NN Number=Sing 9 obj _ _ 14 into into ADP IN _ 17 case _ _ 15 a a DET DT Definite=Ind|PronType=Art 17 det _ _ 16 live live ADJ JJ Degree=Pos 17 amod _ _ 17 microphone microphone NOUN NN Number=Sing 9 obl _ SpaceAfter=No 18 . . PUNCT . _ 2 punct _ SpaceAfter=No 19 " " PUNCT '' _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **hear** *in a quote* | past · passive | | the minister | | | | | tree rules | | 2 | **mutter** *speech: assert* *in a quote* | gerund | the minister *not said here* | the f word | | a live microphone | | | vn manner\_speaking-37.3 «NP V NP PP.recipient»: agent=Agent word=Topic into microphone=Recipient | 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 happened? ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:2 # text = What happened? 1 What what PRON WP PronType=Int 2 nsubj _ _ 2 happened happen VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ SpaceAfter=No 3 ? ? PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **happen** | past | | | | | | | vn occur-48.3-1 «NP V»: agent=Theme | ## The options {#options} ### Option 1 {#o1} He forgot a word ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:o1:1 # text = He forgot a word 1 He he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 forgot forget VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 4 word word NOUN NN Number=Sing 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **forget** | past | He | a word | | | | | tree rules | ### Option 2 {#o2} He spoke French ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:o2:1 # text = He spoke French 1 He he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 spoke speak VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 French French PROPN NNP Number=Sing 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **speak** *speech: other* | past | He | French | | | | | tree rules | ### Option 3 · ← Mova's choice {#o3} He said the word "friend" ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:o3:1 # text = He said the word "friend" 1 He he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 word word NOUN NN Number=Sing 2 obj _ _ 5 " " PUNCT `` _ 6 punct _ SpaceAfter=No 6 friend friend NOUN NN Number=Sing 4 appos _ SpaceAfter=No 7 " " PUNCT '' _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past | He | the word | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent word=Topic | ### Option 4 · ✓ the right answer {#o4} He said a strong swear word ```conllu # sent_id = question:euphemisms:38-drat-and-the-f-word:t1:o4:1 # text = He said a strong swear word 1 He he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 3 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 4 strong strong ADJ JJ Degree=Pos 6 amod _ _ 5 swear swear NOUN NN Number=Sing 6 compound _ _ 6 word word NOUN NN Number=Sing 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past | He | a strong swear word | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent word=Topic | **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: [Soft words for hard things: stupidity…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/37-bats-and-gosh/e4/) - next →: [Soft words for hard things: rudeness a…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/38-drat-and-the-f-word/t2/) - ↑ back to [Soft words for hard things: rudeness and swearing](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/38-drat-and-the-f-word/)