--- title: "Lad was blotto by nine, sleeping on the stairs." How was the lad? — Soft words for hard things: drinking a… · tree and pragmatics description: "Lad was blotto by nine, sleeping on the stairs." How was the lad? Test 12 · ★ of lesson 30 «Soft words for hard things: drinking and drugs» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/t12/) [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: drinking a…](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/) / t12 # Test 12 · ★ · Soft words for hard things: drinking and drugs "Lad was blotto by nine, sleeping on the stairs." How was the lad? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** lad · **What happens:** blotto, sleep, be · **To what, where:** Lad, stairs This is test 12 · ★ of lesson 30 «Soft words for hard things: drinking and drugs» 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/30-drinking-and-drugs/#t12). ## The question {#question} *Sentence 1:* "Lad was blotto by nine, sleeping on the stairs." ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:1 # text = "Lad was blotto by nine, sleeping on the stairs." 1 " " PUNCT `` _ 4 punct _ SpaceAfter=No 2 Lad Lad PROPN NNP Number=Sing 4 nsubj:pass _ _ 3 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 aux:pass _ _ 4 blotto blotto VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 5 by by ADP IN _ 6 case _ _ 6 nine nine NUM CD NumForm=Word|NumType=Card 4 obl _ SpaceAfter=No 7 , , PUNCT , _ 8 punct _ _ 8 sleeping sleep VERB VBG Tense=Pres|VerbForm=Part 4 advcl _ _ 9 on on ADP IN _ 11 case _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 stairs stair NOUN NNS Number=Plur 8 obl _ SpaceAfter=No 12 . . PUNCT . _ 4 punct _ SpaceAfter=No 13 " " PUNCT '' _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **blotto** *in a quote* | past · passive | | Lad | | | | by nine | tree rules | | 2 | **sleep** *in a quote* | gerund | | | | the stairs | | | vn snooze-40.4-1 «NP V»: 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:* How was the lad? ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:2 # text = How was the lad? 1 How how ADV WRB PronType=Int 0 root _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 1 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 lad lad NOUN NN Number=Sing 1 nsubj _ SpaceAfter=No 5 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | the lad | | | | | how *property* | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} Very drunk ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:o1:1 # text = Very drunk 1 Very very ADV RB _ 2 advmod _ _ 2 drunk drunk ADJ JJ Degree=Pos 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Covered in ink ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:o2:1 # text = Covered in ink 1 Covered cover VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 2 in in ADP IN _ 3 case _ _ 3 ink ink NOUN NN Number=Sing 1 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **cover** | participle | | | | | | in ink | vn fill-9.8-1 «NP V NP PP.theme»: agent=Agent in ink=Theme | ### Option 3 {#o3} Tired from football ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:o3:1 # text = Tired from football 1 Tired tired ADJ JJ Degree=Pos 0 root _ _ 2 from from ADP IN _ 3 case _ _ 3 football football NOUN NN Number=Sing 1 obl _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Ill with the flu ```conllu # sent_id = question:euphemisms:30-drinking-and-drugs:t12:o4:1 # text = Ill with the flu 1 Ill ill ADV RB _ 0 root _ _ 2 with with ADP IN _ 4 case _ _ 3 the the DET DT Definite=Def|PronType=Art 4 det _ _ 4 flu flu NOUN NN Number=Sing 1 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: [Soft words for hard things: drinking a…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/t11/) - next →: [Soft words for hard things: drinking a…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/e1/) - ↑ back to [Soft words for hard things: drinking and drugs](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/)