--- title: Identify the greeting most appropriately addressed by a visiting chi… — Hello and goodbye: the first words at… · tree and pragmatics description: Identify the greeting most appropriately addressed by a visiting child to the grandmother of his companion. Exam question 1 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 --- [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/e1/) [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/) / e1 # Exam question 1 · Hello and goodbye: the first words at the gate Identify the greeting most appropriately addressed by a visiting child to the grandmother of his companion. **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** you · **What happens:** identify, address, visit · **To what, where:** greeting This is exam question 1 of lesson 1 «Hello and goodbye: the first words at the gate» of the Chinese street course of Mova's primary school, asked in stiff, formal language. 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/#e1). ## The question {#question} ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:e1:1 # text = Identify the greeting most appropriately addressed by a visiting child to the grandmother of his companion. 1 Identify identify VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 3 det _ _ 3 greeting greeting NOUN NN Number=Sing 1 obj _ _ 4 most most ADV RBS Degree=Sup 5 advmod _ _ 5 appropriately appropriately ADV RB _ 6 advmod _ _ 6 addressed address VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 3 acl:relcl _ _ 7 by by ADP IN _ 10 case _ _ 8 a a DET DT Definite=Ind|PronType=Art 10 det _ _ 9 visiting visit VERB VBG VerbForm=Ger 10 amod _ _ 10 child child NOUN NN Number=Sing 6 obl _ _ 11 to to ADP IN _ 13 case _ _ 12 the the DET DT Definite=Def|PronType=Art 13 det _ _ 13 grandmother grandmother NOUN NN Number=Sing 10 nmod _ _ 14 of of ADP IN _ 16 case _ _ 15 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 16 nmod:poss _ _ 16 companion companion NOUN NN Number=Sing 13 nmod _ SpaceAfter=No 17 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **identify** | imperative | you *not said here* | the greeting | | | | | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent greeting=Theme | | 2 | **address** | participle | | the greeting *not said here* | | | | by a visiting child to the grandmother of child's companion; appropriately *property* | vn illustrate-25.3 «NP V NP»: agent=Agent | | 3 | **visit** | gerund | | | | | | | 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. ## The options {#options} ### Option 1 · ← Mova's choice {#o1} huítóu jiàn ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:e1:o1:1 # 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. ### Option 2 {#o2} hāi ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:e1:o2:1 # text = hāi 1 hāi hāi PROPN NNP Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} wǎn'ān ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:e1:o3:1 # 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 4 · ✓ the right answer {#o4} nín hǎo ```conllu # sent_id = question:chinese-street:1-hello-and-goodbye-at-the-gate:e1:o4:1 # 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. **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 11](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/t11/) - next →: [Hello and goodbye: the first words at…, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/1-hello-and-goodbye-at-the-gate/e2/) - ↑ 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/)