--- title: Ming and you will meet again at the park after tea. What do you say… — Hello and goodbye: the first words at… · tree and pragmatics description: Ming and you will meet again at the park after tea. What do you say at the gate? Test 10 of lesson 1 «Hello and goodbye: the first words at the gate» 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 r --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/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/) / [Chinese street](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/) / [Hello and goodbye: the first words at…](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/) / t10 # Test 10 · Hello and goodbye: the first words at the gate Ming and you will meet again at the park after tea. What do you say at the gate? **Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** Ming, you · **What happens:** meet, say · **To what, where:** park, gate · **Speech:** someone speaks here This is test 10 of lesson 1 «Hello and goodbye: the first words at the gate» 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/1-hello-and-goodbye-at-the-gate/#t10). ## The question {#question} *Sentence 1:* Ming and you will meet again at the park after tea. ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:1 # text = Ming and you will meet again at the park after tea. 1 Ming Ming PROPN NNP Number=Sing 5 nsubj _ _ 2 and and CCONJ CC _ 5 cc _ _ 3 you you PRON PRP Case=Nom|Person=2|PronType=Prs 5 nsubj _ _ 4 will will AUX MD VerbForm=Fin 5 aux _ _ 5 meet meet VERB VB VerbForm=Inf 0 root _ _ 6 again again ADV RB _ 5 advmod _ _ 7 at at ADP IN _ 9 case _ _ 8 the the DET DT Definite=Def|PronType=Art 9 det _ _ 9 park park NOUN NN Number=Sing 5 obl _ _ 10 after after ADP IN _ 11 case _ _ 11 tea tea NOUN NN Number=Sing 5 obl _ SpaceAfter=No 12 . . PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **meet** | future | Ming | | | the park | after tea; again | | vn meet-36.3-1 «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 do you say at the gate? ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:2 # text = What do you say at the gate? 1 What what PRON WP PronType=Int 4 obj _ _ 2 do do AUX VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|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 _ _ 5 at at ADP IN _ 7 case _ _ 6 the the DET DT Definite=Def|PronType=Art 7 det _ _ 7 gate gate NOUN NN Number=Sing 4 obl _ SpaceAfter=No 8 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present · do-support | you | | | the gate | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | ## The options {#options} ### Option 1 {#o1} wǎn'ān ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:o1:1 # text = wǎn'ān 1 wǎn'ān wǎn'ān NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} zǎoshang hǎo ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:o2:1 # text = zǎoshang hǎo 1 zǎoshang zǎoshang X FW Foreign=Yes 0 root _ _ 2 hǎo hǎo X FW Foreign=Yes 1 flat:foreign _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} nín hǎo ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:o3:1 # text = nín hǎo 1 nín nín X FW Foreign=Yes 0 root _ _ 2 hǎo hǎo X FW Foreign=Yes 1 flat:foreign _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ← Mova's choice · ✓ the right answer {#o4} huítóu jiàn ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:t10:o4:1 # text = huítóu jiàn 1 huítóu huítóu X FW _ 2 compound _ _ 2 jiàn jiàn NOUN NN Number=Sing 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: [Hello and goodbye: the first words at…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/t9/) - next →: [Hello and goodbye: the first words at…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/t11/) - ↑ back to [Hello and goodbye: the first words at the gate](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/)