--- title: Which description accurately characterises Else's appearance? — Danish Tales, Jurgen, part 176: Jurgen… · tree and pragmatics description: Which description accurately characterises Else's appearance? Exam question 2 of lesson 965 «Danish Tales, Jurgen, part 176: Jurgen returns home to a dead foster-mother, quarrels with Martin, and leaves for the north» of the books course of Mova's primary school, with the dependency tree and pragmat --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/965-pg27200-part176/e2/) [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/) / [Books](https://md.mova.elamur.ai/free/en/corpora/questions/books/) / [Danish Tales, Jurgen, part 176: Jurgen…](https://md.mova.elamur.ai/free/en/corpora/questions/books/965-pg27200-part176/) / e2 # Exam question 2 · Danish Tales, Jurgen, part 176: Jurgen returns home to a d… Which description accurately characterises Else's appearance? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** description · **What happens:** characteris · **To what, where:** appearance This is exam question 2 of lesson 965 «Danish Tales, Jurgen, part 176: Jurgen returns home to a dead foster-mother, quarrels with Martin, and leaves for the north» of the books course of Mova's primary school, asked in stiff, formal language. 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/books/965-pg27200-part176/#e2). ## The question {#question} ```conllu # sent_id = question:books:965-pg27200-part176:e2:1 # text = Which description accurately characterises Else's appearance? 1 Which which DET WDT PronType=Int 2 det _ _ 2 description description NOUN NN Number=Sing 4 nsubj _ _ 3 accurately accurately ADV RB _ 4 advmod _ _ 4 characterises characteris VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 Else Else PROPN NNP Number=Sing 7 nmod:poss _ SpaceAfter=No 6 's 's PART POS _ 5 case _ _ 7 appearance appearance NOUN NN Number=Sing 4 obj _ SpaceAfter=No 8 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **characteris** | present | which description | Else's appearance | | | | accurately *property* | tree rules | 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. ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} She was pale, fair, and flaxen-haired ```conllu # sent_id = question:books:965-pg27200-part176:e2:o1:1 # text = She was pale, fair, and flaxen-haired 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 pale pale ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 fair fair ADJ JJ Degree=Pos 3 conj _ SpaceAfter=No 6 , , PUNCT , _ 10 punct _ _ 7 and and CCONJ CC _ 10 cc _ _ 8 flaxen flaxen ADJ JJ Degree=Pos 10 amod _ SpaceAfter=No 9 - - PUNCT HYPH _ 8 punct _ SpaceAfter=No 10 haired haired ADJ JJ Degree=Pos 3 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | She | | | | | pale *property* | tree rules | | 2 | **be** | | She *not said here* | | | | | | tree rules | | 3 | **be** | | She *not said here* | | | | | | tree rules | ### Option 2 {#o2} She was tall, dark, and freckled ```conllu # sent_id = question:books:965-pg27200-part176:e2:o2:1 # text = She was tall, dark, and freckled 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 tall tall ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 dark dark ADJ JJ Degree=Pos 3 conj _ SpaceAfter=No 6 , , PUNCT , _ 8 punct _ _ 7 and and CCONJ CC _ 8 cc _ _ 8 freckled freckle VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 3 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | She | | | | | tall *property* | tree rules | | 2 | **be** | | She *not said here* | | | | | | tree rules | | 3 | **freckle** | participle | She *not said here* | | | | | | vn other\_cos-45.4 «NP.patient V»: agent=Patient | ### Option 3 {#o3} She was fair but very thin ```conllu # sent_id = question:books:965-pg27200-part176:e2:o3:1 # text = She was fair but very thin 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 cop _ _ 3 fair fair ADJ JJ Degree=Pos 0 root _ _ 4 but but CCONJ CC _ 6 cc _ _ 5 very very ADV RB _ 6 advmod _ _ 6 thin thin ADJ JJ Degree=Pos 3 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | She | | | | | fair *property* | tree rules | | 2 | **be** | | She *not said here* | | | | | | tree rules | ### Option 4 {#o4} She was flaxen-haired and tall, with a dark coat and worn leather boots ```conllu # sent_id = question:books:965-pg27200-part176:e2:o4:1 # text = She was flaxen-haired and tall, with a dark coat and worn leather boots 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 2 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 cop _ _ 3 flaxen flaxen ADJ JJ Degree=Pos 5 amod _ SpaceAfter=No 4 - - PUNCT HYPH _ 3 punct _ SpaceAfter=No 5 haired haired ADJ JJ Degree=Pos 0 root _ _ 6 and and CCONJ CC _ 7 cc _ _ 7 tall tall ADJ JJ Degree=Pos 5 conj _ SpaceAfter=No 8 , , PUNCT , _ 12 punct _ _ 9 with with ADP IN _ 12 case _ _ 10 a a DET DT Definite=Ind|PronType=Art 12 det _ _ 11 dark dark ADJ JJ Degree=Pos 12 amod _ _ 12 coat coat NOUN NN Number=Sing 5 parataxis _ _ 13 and and CCONJ CC _ 16 cc _ _ 14 worn worn ADJ JJ Degree=Pos 16 amod _ _ 15 leather leather NOUN NN Number=Sing 16 compound _ _ 16 boots boot NOUN NNS Number=Plur 12 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | past | She | | | | | haired *property* | tree rules | | 2 | **be** | | She *not said here* | | | | | | tree rules | **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: [Danish Tales, Jurgen, part 176: Jurgen…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/books/965-pg27200-part176/e1/) - next →: [Danish Tales, Jurgen, part 176: Jurgen…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/books/965-pg27200-part176/e3/) - ↑ back to [Danish Tales, Jurgen, part 176: Jurgen returns home to a dead foster-mother, quarrels with Martin, and leaves for the north](https://md.mova.elamur.ai/free/en/corpora/questions/books/965-pg27200-part176/)