--- title: «ok fine, xièxie, gòu le» you say to Granny. What did you say? — Tasty! Spicy! I'm full! · tree and pragmatics description: «ok fine, xièxie, gòu le» you say to Granny. What did you say? Test 12 · ★ of lesson 12 «Tasty! Spicy! I'm full!» of the Chinese street course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/chinese-street/12-tasty-spicy-im-full/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/) / [Chinese street](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/) / [Tasty! Spicy! I'm full!](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/12-tasty-spicy-im-full/) / t12 # Test 12 · ★ · Tasty! Spicy! I'm full! «ok fine, xièxie, gòu le» you say to Granny. What did you say? **Mova's choice:** option 2 · **The right answer:** option 1 · wrong ✗ · **Who acts:** xièxie, you · **What happens:** say · **To what, where:** Granny · **Speech:** someone speaks here This is test 12 · ★ of lesson 12 «Tasty! Spicy! I'm full!» of the Chinese street 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/chinese-street/12-tasty-spicy-im-full/#t12). ## The question {#question} *Sentence 1:* «ok fine, xièxie, gòu le» you say to Granny. ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:1 # text = «ok fine, xièxie, gòu le» you say to Granny. 1 « « PUNCT `` _ 3 punct _ SpaceAfter=No 2 ok ok ADJ JJ Degree=Pos 3 amod _ _ 3 fine fine ADJ JJ Degree=Pos 0 root _ SpaceAfter=No 4 , , PUNCT , _ 5 punct _ _ 5 xièxie xièxie NOUN NN Number=Sing 11 nsubj _ SpaceAfter=No 6 , , PUNCT , _ 8 punct _ _ 7 gòu gòu PROPN NNP Number=Sing 8 compound _ _ 8 le le NOUN NN Number=Sing 5 appos _ SpaceAfter=No 9 » » PUNCT '' _ 8 punct _ _ 10 you you PRON PRP Case=Nom|Person=2|PronType=Prs 11 nsubj _ _ 11 say say VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 parataxis _ _ 12 to to ADP IN _ 13 case _ _ 13 Granny Granny PROPN NNP Number=Sing 11 obl _ SpaceAfter=No 14 . . PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | xièxie | | Granny | | | | vn say-37.7-1-1 «NP V PP.recipient S-Quote»: agent=Agent to granny=Recipient | 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 did you say? ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:2 # text = What did you say? 1 What what PRON WP PronType=Int 4 obj _ _ 2 did do AUX VBD Mood=Ind|Number=Sing|Person=2|Tense=Past|VerbForm=Fin 4 aux _ _ 3 you you PRON PRP Case=Nom|Person=2|PronType=Prs 4 nsubj _ _ 4 say say VERB VB VerbForm=Inf 0 root _ SpaceAfter=No 5 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past · do-support | you | | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | ## The options {#options} ### Option 1 · ✓ the right answer {#o1} Thanks, that's enough ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:o1:1 # text = Thanks, that's enough 1 Thanks thanks NOUN NN Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 that that PRON DT Number=Sing|PronType=Dem 5 nsubj _ SpaceAfter=No 4 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 cop _ _ 5 enough enough ADJ JJ Degree=Pos 1 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | that | | | | | enough *property* | tree rules | ### Option 2 · ← Mova's choice {#o2} It's too spicy ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:o2:1 # text = It's too spicy 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 4 nsubj _ SpaceAfter=No 2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 cop _ _ 3 too too ADV RB _ 4 advmod _ _ 4 spicy spicy ADJ JJ Degree=Pos 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | It | | | | | spicy *property* | tree rules | ### Option 3 {#o3} Thanks, more please ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:o3:1 # text = Thanks, more please 1 Thanks thanks NOUN NN Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 3 punct _ _ 3 more more ADJ JJR Degree=Cmp 1 conj _ _ 4 please please INTJ UH _ 1 discourse _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Cheers ```conllu # sent_id = question:chinese-street:12-tasty-spicy-im-full:t12:o4:1 # text = Cheers 1 Cheers cheer NOUN NNS Number=Plur 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: [Tasty! Spicy! I'm full!, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/12-tasty-spicy-im-full/t11/) - next →: [Tasty! Spicy! I'm full!, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/12-tasty-spicy-im-full/e1/) - ↑ back to [Tasty! Spicy! I'm full!](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/12-tasty-spicy-im-full/)