--- title: Lín's granny says "shàngwǔ" about the dentist. When is it? — Today, tomorrow, now, later · tree and pragmatics description: Lín's granny says "shàngwǔ" about the dentist. When is it? Test 8 of lesson 21 «Today, tomorrow, now, later» 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/21-today-tomorrow-now-later/t8/) [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/) / [Today, tomorrow, now, later](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/21-today-tomorrow-now-later/) / t8 # Test 8 · Today, tomorrow, now, later Lín's granny says "shàngwǔ" about the dentist. When is it? **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** granny, shàngwǔ · **What happens:** say, be · **To what, where:** shàngwǔ · **Speech:** someone speaks here This is test 8 of lesson 21 «Today, tomorrow, now, later» 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/21-today-tomorrow-now-later/#t8). ## The question {#question} *Sentence 1:* Lín's granny says "shàngwǔ" about the dentist. ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:1 # text = Lín's granny says "shàngwǔ" about the dentist. 1 Lín Lín PROPN NNP Number=Sing 3 nmod:poss _ SpaceAfter=No 2 's 's PART POS _ 1 case _ _ 3 granny granny NOUN NN Number=Sing 4 nsubj _ _ 4 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 " " PUNCT `` _ 6 punct _ SpaceAfter=No 6 shàngwǔ shàngwǔ NOUN NN Number=Sing 4 obj _ SpaceAfter=No 7 " " PUNCT '' _ 6 punct _ _ 8 about about ADP IN _ 10 case _ _ 9 the the DET DT Definite=Def|PronType=Art 10 det _ _ 10 dentist dentist NOUN NN Number=Sing 6 nmod _ SpaceAfter=No 11 . . PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | Lín's granny | shàngwǔ | | | | about the dentist | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent shàngwǔ=Topic | 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:* When is it? ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:2 # text = When is it? 1 When when ADV WRB PronType=Int 0 root _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 cop _ _ 3 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 1 nsubj _ SpaceAfter=No 4 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | shàngwǔ | | | | | when *property* | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} Late morning, before noon ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:o1:1 # text = Late morning, before noon 1 Late late ADJ JJ Degree=Pos 2 amod _ _ 2 morning morning NOUN NN Number=Sing 0 root _ SpaceAfter=No 3 , , PUNCT , _ 5 punct _ _ 4 before before ADP IN _ 5 case _ _ 5 noon noon NOUN NN Number=Sing 2 conj _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Early dawn ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:o2:1 # text = Early dawn 1 Early early ADJ JJ Degree=Pos 2 amod _ _ 2 dawn dawn NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Late afternoon ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:o3:1 # text = Late afternoon 1 Late late ADJ JJ Degree=Pos 2 amod _ _ 2 afternoon afternoon NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Evening ```conllu # sent_id = question:chinese-street:21-today-tomorrow-now-later:t8:o4:1 # text = Evening 1 Evening evening 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: [Today, tomorrow, now, later, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/21-today-tomorrow-now-later/t7/) - next →: [Today, tomorrow, now, later, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/21-today-tomorrow-now-later/t9/) - ↑ back to [Today, tomorrow, now, later](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/21-today-tomorrow-now-later/)