--- title: What did Liza say about the crowd, bare cheeky? — Peter Pan, Peter Pan and Wendy, part 2… · tree and pragmatics description: What did Liza say about the crowd, bare cheeky? Test 10 · ★ of lesson 337 «Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/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/) / [Books](https://md.mova.elamur.ai/free/en/corpora/questions/books/) / [Peter Pan, Peter Pan and Wendy, part 2…](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/) / t10 # Test 10 · ★ · Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks… What did Liza say about the crowd, bare cheeky? **Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Liza · **What happens:** say, bear · **Speech:** someone speaks here This is test 10 · ★ of lesson 337 «Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window» of the books 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/books/337-pg16-part28/#t10). ## The question {#question} ```conllu # sent_id = question:books:337-pg16-part28:t10:1 # text = What did Liza say about the crowd, bare cheeky? 1 What what PRON WP PronType=Int 4 obj _ _ 2 did do AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 aux _ _ 3 Liza Liza PROPN NNP Number=Sing 4 nsubj _ _ 4 say say VERB VB VerbForm=Inf 0 root _ _ 5 about about ADP IN _ 7 case _ _ 6 the the DET DT Definite=Def|PronType=Art 7 det _ _ 7 crowd crowd NOUN NN Number=Sing 4 obl _ SpaceAfter=No 8 , , PUNCT , _ 9 punct _ _ 9 bare bear VERB VB VerbForm=Inf 4 conj _ _ 10 cheeky cheeky ADJ JJ Degree=Pos 9 xcomp _ SpaceAfter=No 11 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past · do-support | Liza | | | | | about the crowd | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | | 2 | **bear** | infinitive | Liza *not said here* | | | | | cheeky *property* | vn admire-31.2 «NP V that S»: agent=Experiencer | 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 {#o1} "Too many." ```conllu # sent_id = question:books:337-pg16-part28:t10:o1:1 # text = "Too many." 1 " " PUNCT `` _ 3 punct _ SpaceAfter=No 2 Too too ADV RB _ 3 advmod _ _ 3 many many ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 . . PUNCT . _ 3 punct _ SpaceAfter=No 5 " " PUNCT '' _ 3 punct _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ✓ the right answer {#o2} "Lots of little boys." ```conllu # sent_id = question:books:337-pg16-part28:t10:o2:1 # text = "Lots of little boys." 1 " " PUNCT `` _ 2 punct _ SpaceAfter=No 2 Lots lot NOUN NNS Number=Plur 0 root _ _ 3 of of ADP IN _ 5 case _ _ 4 little little ADJ JJ Degree=Pos 5 amod _ _ 5 boys boy NOUN NNS Number=Plur 2 nmod _ SpaceAfter=No 6 . . PUNCT . _ 2 punct _ SpaceAfter=No 7 " " PUNCT '' _ 2 punct _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} "Lots of little girls." ```conllu # sent_id = question:books:337-pg16-part28:t10:o3:1 # text = "Lots of little girls." 1 " " PUNCT `` _ 2 punct _ SpaceAfter=No 2 Lots lot NOUN NNS Number=Plur 0 root _ _ 3 of of ADP IN _ 5 case _ _ 4 little little ADJ JJ Degree=Pos 5 amod _ _ 5 girls girl NOUN NNS Number=Plur 2 nmod _ SpaceAfter=No 6 . . PUNCT . _ 2 punct _ SpaceAfter=No 7 " " PUNCT '' _ 2 punct _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} "Lots of grown men." ```conllu # sent_id = question:books:337-pg16-part28:t10:o4:1 # text = "Lots of grown men." 1 " " PUNCT `` _ 2 punct _ SpaceAfter=No 2 Lots lot NOUN NNS Number=Plur 0 root _ _ 3 of of ADP IN _ 5 case _ _ 4 grown grow VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 5 amod _ _ 5 men man NOUN NNS Number=Plur 2 nmod _ SpaceAfter=No 6 . . PUNCT . _ 2 punct _ SpaceAfter=No 7 " " PUNCT '' _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **grow** *in a quote* | participle | | | | | | | vn appear-48.1.1 «NP V»: agent=Theme | **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: [Peter Pan, Peter Pan and Wendy, part 2…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/t9/) - next →: [Peter Pan, Peter Pan and Wendy, part 2…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/t11/) - ↑ back to [Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/)