--- title: «yo granny, ur dumplings are tài niú le» How might Granny take it? — Street chatter: wow, really?, cool! · tree and pragmatics description: «yo granny, ur dumplings are tài niú le» How might Granny take it? Test 4 · ★ of lesson 30 «Street chatter: wow, really?, cool!» 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 right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/chinese-street/30-street-chatter-wow-really-cool/t4/) [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/) / [Street chatter: wow, really?, cool!](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/30-street-chatter-wow-really-cool/) / t4 # Test 4 · ★ · Street chatter: wow, really?, cool! «yo granny, ur dumplings are tài niú le» How might Granny take it? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** dumplings, Granny · **What happens:** be, take · **To what, where:** niú le, le · **Speech:** someone speaks here This is test 4 · ★ of lesson 30 «Street chatter: wow, really?, cool!» 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/30-street-chatter-wow-really-cool/#t4). ## The question {#question} ```conllu # sent_id = question:chinese-street:30-street-chatter-wow-really-cool:t4:1 # text = «yo granny, ur dumplings are tài niú le» How might Granny take it? 1 « « PUNCT `` _ 3 punct _ SpaceAfter=No 2 yo yo NOUN NN Number=Sing 3 compound _ _ 3 granny granny NOUN NN Number=Sing 0 root _ SpaceAfter=No 4 , , PUNCT , _ 10 punct _ _ 5 ur your PRON PRP$ Abbr=Yes|Case=Gen|Person=2|Poss=Yes|PronType=Prs 6 nmod:poss _ _ 6 dumplings dumpling NOUN NNS Number=Plur 10 nsubj _ _ 7 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 10 cop _ _ 8 tài tài X FW Foreign=Yes 10 dep _ _ 9 niú niú X FW Foreign=Yes 10 flat:foreign _ _ 10 le le NOUN NN Number=Sing 3 conj _ SpaceAfter=No 11 » » PUNCT '' _ 10 punct _ _ 12 How how ADV WRB PronType=Int 15 advmod _ _ 13 might might AUX MD VerbForm=Fin 15 aux _ _ 14 Granny Granny PROPN NNP Number=Sing 15 nsubj _ _ 15 take take VERB VB VerbForm=Inf 10 parataxis _ _ 16 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 15 obj _ SpaceAfter=No 17 ? ? PUNCT . _ 3 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** *in a quote* | present | ur's dumplings | niú le | | | | | tree rules | | 2 | **take** | might | Granny | le | | | | | vn bring-11.3 «NP V NP»: agent=Agent it=Theme | 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 {#o1} It's the most polite praise ```conllu # sent_id = question:chinese-street:30-street-chatter-wow-really-cool:t4:o1:1 # text = It's the most polite praise 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 6 nsubj _ SpaceAfter=No 2 's be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 cop _ _ 3 the the DET DT Definite=Def|PronType=Art 6 det _ _ 4 most most ADV RBS Degree=Sup 5 advmod _ _ 5 polite polite ADJ JJ Degree=Pos 6 amod _ _ 6 praise praise NOUN NN Number=Sing 0 root _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | It | the polite praise | | | | | tree rules | ### Option 2 {#o2} She'll think you mean a cow is in them ```conllu # sent_id = question:chinese-street:30-street-chatter-wow-really-cool:t4:o2:1 # text = She'll think you mean a cow is in them 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 nsubj _ SpaceAfter=No 2 'll will AUX MD VerbForm=Fin 3 aux _ _ 3 think think VERB VB VerbForm=Inf 0 root _ _ 4 you you PRON PRP Case=Nom|Person=2|PronType=Prs 5 nsubj _ _ 5 mean mean VERB VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 3 ccomp _ _ 6 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 7 cow cow NOUN NN Number=Sing 5 obj _ _ 8 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 10 cop _ _ 9 in in ADP IN _ 10 case _ _ 10 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 3 ccomp _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **think** *speech: other* | future | She | | | | | | vn consider-29.9-2 «NP V how S»: agent=Agent clause=Theme | | 2 | **mean** | present | you | a cow | | | | | vn intend-61.2-1 «NP V NP»: agent=Agent cow=Topic | | 3 | **is** | present | | | | | | in them *= they* | tree rules | ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} It may sound odd or cheeky to her ```conllu # sent_id = question:chinese-street:30-street-chatter-wow-really-cool:t4:o3:1 # text = It may sound odd or cheeky to her 1 It it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 3 nsubj _ _ 2 may may AUX MD VerbForm=Fin 3 aux _ _ 3 sound sound VERB VB VerbForm=Inf 0 root _ _ 4 odd odd ADJ JJ Degree=Pos 3 xcomp _ _ 5 or or CCONJ CC _ 6 cc _ _ 6 cheeky cheeky ADJ JJ Degree=Pos 4 conj _ _ 7 to to ADP IN _ 8 case _ _ 8 her she PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **sound** | may | It | | her *= she* | | | odd *property* | vn stimulus\_subject-30.4 «NP V ADJ PP.experiencer»: agent=Stimulus to she=Experiencer | ### Option 4 {#o4} She'll say zhēn guāi at once ```conllu # sent_id = question:chinese-street:30-street-chatter-wow-really-cool:t4:o4:1 # text = She'll say zhēn guāi at once 1 She she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 3 nsubj _ SpaceAfter=No 2 'll will AUX MD VerbForm=Fin 3 aux _ _ 3 say say VERB VB VerbForm=Inf 0 root _ _ 4 zhēn zhēn X FW Foreign=Yes 3 obj _ _ 5 guāi guāi X FW Foreign=Yes 4 flat _ _ 6 at at ADP IN _ 7 case _ _ 7 once once ADV RB NumForm=Word|NumType=Mult 3 obl _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | future | She | zhēn | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent zhēn=Topic | **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: [Street chatter: wow, really?, cool!, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/30-street-chatter-wow-really-cool/t3/) - next →: [Street chatter: wow, really?, cool!, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/30-street-chatter-wow-really-cool/t5/) - ↑ back to [Street chatter: wow, really?, cool!](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/30-street-chatter-wow-really-cool/)