--- title: You tell Ming's dad «máfan nǐ» when asking for help. What will he pr… — Thank you, sorry, excuse me · tree and pragmatics description: You tell Ming's dad «máfan nǐ» when asking for help. What will he probably say? Test 7 · ★ of lesson 3 «Thank you, sorry, excuse me» 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/3-thank-you-sorry-excuse-me/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/) / [Chinese street](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/) / [Thank you, sorry, excuse me](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/3-thank-you-sorry-excuse-me/) / t7 # Test 7 · ★ · Thank you, sorry, excuse me You tell Ming's dad «máfan nǐ» when asking for help. What will he probably say? **Mova's choice:** option 3 · **The right answer:** option 2 · wrong ✗ · **Who acts:** You, Ming · **What happens:** tell, ask, say · **To what, where:** dad · **Speech:** someone speaks here This is test 7 · ★ of lesson 3 «Thank you, sorry, excuse me» 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/3-thank-you-sorry-excuse-me/#t7). ## The question {#question} *Sentence 1:* You tell Ming's dad «máfan nǐ» when asking for help. ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:1 # text = You tell Ming's dad «máfan nǐ» when asking for help. 1 You you PRON PRP Case=Nom|Person=2|PronType=Prs 2 nsubj _ _ 2 tell tell VERB VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 0 root _ _ 3 Ming Ming PROPN NNP Number=Sing 5 nmod:poss _ SpaceAfter=No 4 's 's PART POS _ 3 case _ _ 5 dad dad NOUN NN Number=Sing 2 obj _ _ 6 « « PUNCT `` _ 8 punct _ SpaceAfter=No 7 máfan máfan ADJ JJ Degree=Pos 8 amod _ _ 8 nǐ nǐ NOUN NN Number=Sing 5 appos _ SpaceAfter=No 9 » » PUNCT '' _ 8 punct _ _ 10 when when ADV WRB PronType=Int 11 advmod _ _ 11 asking ask VERB VBG Tense=Pres|VerbForm=Part 2 advcl _ _ 12 for for ADP IN _ 13 case _ _ 13 help help NOUN NN Number=Sing 11 obl _ SpaceAfter=No 14 . . PUNCT . _ 2 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **tell** *speech: assert* | present | You | | Ming's dad | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent dad=Recipient | | 2 | **ask** *speech: ask* | gerund | You *not said here* | | | | | for help | vn inquire-37.1.2 «NP V»: agent=Agent | 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 will he probably say? ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:2 # text = What will he probably say? 1 What what PRON WP PronType=Int 5 obj _ _ 2 will will AUX MD VerbForm=Fin 5 aux _ _ 3 he he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 4 probably probably ADV RB _ 5 advmod _ _ 5 say say VERB VB VerbForm=Inf 0 root _ SpaceAfter=No 6 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | future | Ming | | | | | probably *property* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | ## The options {#options} ### Option 1 {#o1} wǎn'ān, good night ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:o1:1 # text = wǎn'ān, good night 1 wǎn'ān wǎn'ān NOUN NN Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 4 punct _ _ 3 good good ADJ JJ Degree=Pos 4 amod _ _ 4 night night NOUN NN Number=Sing 1 appos _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 · ✓ the right answer {#o2} bù máfan, no trouble ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:o2:1 # text = bù máfan, no trouble 1 bù bù X FW Foreign=Yes 2 compound _ _ 2 máfan máfan NOUN NN Number=Sing 0 root _ SpaceAfter=No 3 , , PUNCT , _ 5 punct _ _ 4 no no DET DT PronType=Neg 5 det _ _ 5 trouble trouble NOUN NN Number=Sing 2 conj _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ← Mova's choice {#o3} duìbuqǐ, sorry ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:o3:1 # text = duìbuqǐ, sorry 1 duìbuqǐ duìbuqǐ PROPN NNP Number=Sing 0 root _ SpaceAfter=No 2 , , PUNCT , _ 1 punct _ _ 3 sorry sorry INTJ UH _ 1 discourse _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} hǎo máfan, what a pain ```conllu # sent_id = question:chinese-street:3-thank-you-sorry-excuse-me:t7:o4:1 # text = hǎo máfan, what a pain 1 hǎo hǎo X FW _ 2 compound _ _ 2 máfan máfan NOUN NN Number=Sing 4 nsubj _ SpaceAfter=No 3 , , PUNCT , _ 4 punct _ _ 4 what what PRON WP PronType=Int 0 root _ _ 5 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 6 pain pain NOUN NN Number=Sing 4 nsubj _ _ ``` 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: [Thank you, sorry, excuse me, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/3-thank-you-sorry-excuse-me/t6/) - next →: [Thank you, sorry, excuse me, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/3-thank-you-sorry-excuse-me/t8/) - ↑ back to [Thank you, sorry, excuse me](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/3-thank-you-sorry-excuse-me/)