--- title: Overheard at a wedding: "Look at Shona, she's well merry, dancing on… — Coffee, tea, wine and the pub · tree and pragmatics description: Overheard at a wedding: "Look at Shona, she's well merry, dancing on the chairs." What does "merry" mean here? Test 5 of lesson 27 «Coffee, tea, wine and the pub» of the adult life course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's cho --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/adult-life/27-coffee-tea-wine-and-the-pub/t5/) [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/) / [Adult life](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/) / [Coffee, tea, wine and the pub](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/27-coffee-tea-wine-and-the-pub/) / t5 # Test 5 · Coffee, tea, wine and the pub Overheard at a wedding: "Look at Shona, she's well merry, dancing on the chairs." What does "merry" mean here? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** Shona, merry · **What happens:** overhear, look, be, dance, mean · **To what, where:** chairs This is test 5 of lesson 27 «Coffee, tea, wine and the pub» of the adult life 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/adult-life/27-coffee-tea-wine-and-the-pub/#t5). ## The question {#question} *Sentence 1:* Overheard at a wedding: "Look at Shona, she's well merry, dancing on the chairs." ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:1 # text = Overheard at a wedding: "Look at Shona, she's well merry, dancing on the chairs." 1 Overheard overhear VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 4 amod _ _ 2 at at ADP IN _ 4 case _ _ 3 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 4 wedding wedding NOUN NN Number=Sing 0 root _ SpaceAfter=No 5 : : PUNCT : _ 7 punct _ _ 6 " " PUNCT `` _ 7 punct _ SpaceAfter=No 7 Look look VERB VB Mood=Imp|VerbForm=Fin 4 parataxis _ _ 8 at at ADP IN _ 9 case _ _ 9 Shona Shona PROPN NNP Number=Sing 7 obl _ SpaceAfter=No 10 , , PUNCT , _ 14 punct _ _ 11 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 14 nsubj _ SpaceAfter=No 12 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 14 cop _ _ 13 well well ADV RB Degree=Pos 14 advmod _ _ 14 merry merry ADJ JJ Degree=Pos 7 parataxis _ SpaceAfter=No 15 , , PUNCT , _ 16 punct _ _ 16 dancing dance VERB VBG Tense=Pres|VerbForm=Part 14 advcl _ _ 17 on on ADP IN _ 19 case _ _ 18 the the DET DT Definite=Def|PronType=Art 19 det _ _ 19 chairs chair NOUN NNS Number=Plur 16 obl _ SpaceAfter=No 20 . . PUNCT . _ 7 punct _ SpaceAfter=No 21 " " PUNCT '' _ 7 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **overhear** | participle | | | | | | | vn sight-30.2 «NP V NP»: agent=Experiencer | | 2 | **look** *in a quote* | infinitive | | | | | | at Shona | vn peer-30.3 «NP V PP.theme»: agent=Agent at shona=Theme | | 3 | **is** *in a quote* | present | Shona | | | | | merry, well *property* | tree rules | | 4 | **dance** *in a quote* | gerund | Shona *not said here* | | | the chairs | | | vn modes\_of\_being\_with\_motion-47.3 «NP V PP.location»: agent=Theme on chair=Location | 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 does "merry" mean here? ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:2 # text = What does "merry" mean here? 1 What what PRON WP PronType=Int 6 obj _ _ 2 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 aux _ _ 3 " " PUNCT `` _ 4 punct _ SpaceAfter=No 4 merry merry NOUN NN Number=Sing 6 nsubj _ SpaceAfter=No 5 " " PUNCT '' _ 4 punct _ _ 6 mean mean VERB VB VerbForm=Inf 0 root _ _ 7 here here ADV RB PronType=Dem 6 advmod _ SpaceAfter=No 8 ? ? PUNCT . _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **mean** | present · do-support | merry | | | here | | | vn intend-61.2-1 «NP V NP»: agent=Agent what=Topic | ## The options {#options} ### Option 1 {#o1} Getting married herself ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:o1:1 # text = Getting married herself 1 Getting get AUX VBG Tense=Pres|VerbForm=Part 2 aux:pass _ _ 2 married marry VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 3 herself herself PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs|Reflex=Yes 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **marry** | gerund · passive | | herself *= she* | | | | | vn amalgamate-22.2-3-1-1 «NP V NP»: herself=Patient | ### Option 2 {#o2} Feeling sick and tired ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:o2:1 # text = Feeling sick and tired 1 Feeling feel VERB VBG Tense=Pres|VerbForm=Part 0 root _ _ 2 sick sick ADJ JJ Degree=Pos 1 xcomp _ _ 3 and and CCONJ CC _ 4 cc _ _ 4 tired tired ADJ JJ Degree=Pos 2 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **feel** | gerund | | | | | | sick *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus | ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} Tipsy from drinking alcohol ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:o3:1 # text = Tipsy from drinking alcohol 1 Tipsy tipsy ADJ JJ Degree=Pos 0 root _ _ 2 from from SCONJ IN _ 3 mark _ _ 3 drinking drink VERB VBG Tense=Pres|VerbForm=Part 1 advcl _ _ 4 alcohol alcohol NOUN NN Number=Sing 3 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **drink** | gerund | | alcohol | | | | | vn eat-39.1-1 «NP V NP»: agent=Agent alcohol=Patient | ### Option 4 {#o4} Very angry with the band ```conllu # sent_id = question:adult-life:27-coffee-tea-wine-and-the-pub:t5:o4:1 # text = Very angry with the band 1 Very very ADV RB _ 2 advmod _ _ 2 angry angry ADJ JJ Degree=Pos 0 root _ _ 3 with with ADP IN _ 5 case _ _ 4 the the DET DT Definite=Def|PronType=Art 5 det _ _ 5 band band NOUN NN Number=Sing 2 obl _ _ ``` The frames reader finds no event or fact in this sentence. **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: [Coffee, tea, wine and the pub, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/27-coffee-tea-wine-and-the-pub/t4/) - next →: [Coffee, tea, wine and the pub, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/27-coffee-tea-wine-and-the-pub/t6/) - ↑ back to [Coffee, tea, wine and the pub](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/27-coffee-tea-wine-and-the-pub/)