--- title: ★★★ Text: «Pip has two cats, Mo and Bea. Mo is black. Bea is grey wi… — Retrieval: finding the answer in the t… · tree and pragmatics description: ★★★ Text: «Pip has two cats, Mo and Bea. Mo is black. Bea is grey with a white tail.» Q: «What colour is Pip's grey cat's tail?» Test 7 of lesson 17 «Retrieval: finding the answer in the text» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/t7/) [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/) / [English](https://md.mova.elamur.ai/free/en/corpora/questions/english/) / [Retrieval: finding the answer in the t…](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/) / t7 # Test 7 · Retrieval: finding the answer in the text ★★★ Text: «Pip has two cats, Mo and Bea. Mo is black. Bea is grey with a white tail.» Q: «What colour is Pip's grey cat's tail?» **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Pip, Mo, Bea, colour · **What happens:** have, be · **To what, where:** two cats, tail This is test 7 of lesson 17 «Retrieval: finding the answer in the text» of the English 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/english/17-retrieval-finding-the-answer-in-the-text/#t7). ## The question {#question} *Sentence 1:* ★★★ Text: «Pip has two cats, Mo and Bea. ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:1 # text = ★★★ Text: «Pip has two cats, Mo and Bea. 1 ★ ★ PROPN NNP Number=Sing 4 nsubj _ SpaceAfter=No 2 ★ ★ NOUN NN Number=Sing 4 compound _ SpaceAfter=No 3 ★ ★ NOUN NN Number=Sing 4 compound _ _ 4 Text text NOUN NN Number=Sing 0 root _ SpaceAfter=No 5 : : PUNCT : _ 8 punct _ _ 6 « « PUNCT `` _ 8 punct _ SpaceAfter=No 7 Pip pip NOUN NN Number=Sing 8 nsubj _ _ 8 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 acl:relcl _ _ 9 two two NUM CD NumForm=Word|NumType=Card 10 nummod _ _ 10 cats cat NOUN NNS Number=Plur 8 obj _ SpaceAfter=No 11 , , PUNCT , _ 12 punct _ _ 12 Mo Mo PROPN NNP Number=Sing 10 appos _ _ 13 and and CCONJ CC _ 14 cc _ _ 14 Bea Bea PROPN NNP Number=Sing 12 conj _ SpaceAfter=No 15 . . PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **have** *in a quote* | present | Pip | two cats | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent cat=Patient | 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:* Mo is black. ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:2 # text = Mo is black. 1 Mo Mo PROPN NNP Number=Sing 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 black black ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 . . PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | Mo | | | | | black *property* | tree rules | *Sentence 3:* Bea is grey with a white tail.» ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:3 # text = Bea is grey with a white tail.» 1 Bea Bea PROPN NNP Number=Sing 3 nsubj _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 grey grey ADJ JJ Degree=Pos 0 root _ _ 4 with with ADP IN _ 7 case _ _ 5 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 6 white white ADJ JJ Degree=Pos 7 amod _ _ 7 tail tail NOUN NN Number=Sing 3 obl _ SpaceAfter=No 8 . . PUNCT . _ 3 punct _ SpaceAfter=No 9 » » PUNCT '' _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | Bea | | | | | with a white tail; grey *property* | tree rules | *Sentence 4:* Q: «What colour is Pip's grey cat's tail?» ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:4 # text = Q: «What colour is Pip's grey cat's tail?» 1 Q Q NOUN NN Number=Sing 0 root _ SpaceAfter=No 2 : : PUNCT : _ 12 punct _ _ 3 « « PUNCT `` _ 12 punct _ SpaceAfter=No 4 What what DET WDT PronType=Int 5 det _ _ 5 colour colour NOUN NN Number=Sing 12 nsubj _ _ 6 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 12 cop _ _ 7 Pip Pip PROPN NNP Number=Sing 12 nmod:poss _ SpaceAfter=No 8 's 's PART POS _ 7 case _ _ 9 grey grey ADJ JJ Degree=Pos 10 amod _ _ 10 cat cat NOUN NN Number=Sing 12 nmod:poss _ SpaceAfter=No 11 's 's PART POS _ 10 case _ _ 12 tail tail NOUN NN Number=Sing 1 appos _ SpaceAfter=No 13 ? ? PUNCT . _ 12 punct _ SpaceAfter=No 14 » » PUNCT '' _ 12 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** *in a quote* | present | what colour | Pip's tail | | | | | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} Black ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:o1:1 # text = Black 1 Black Black PROPN NNP Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Grey ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:o2:1 # text = Grey 1 Grey grey ADJ JJ Degree=Pos 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} The text doesn't say ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:o3:1 # text = The text doesn't say 1 The the DET DT Definite=Def|PronType=Art 2 det _ _ 2 text text NOUN NN Number=Sing 5 nsubj _ _ 3 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 aux _ SpaceAfter=No 4 n't not PART RB Polarity=Neg 5 advmod _ _ 5 say say VERB VB VerbForm=Inf 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **not** **say** *speech: assert* | present · do-support | the text | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent | ### Option 4 · ✓ the right answer {#o4} White ```conllu # sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:t7:o4:1 # text = White 1 White white ADJ JJ Degree=Pos 0 root _ _ ``` 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: [Retrieval: finding the answer in the t…, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/t6/) - next →: [Retrieval: finding the answer in the t…, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/t8/) - ↑ back to [Retrieval: finding the answer in the text](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/)