--- title: ★★★ At the bubble tea shop Ming orders «sān bēi nǎichá, liǎng bēi sh… — Olympiad: measure words and characters… · tree and pragmatics description: ★★★ At the bubble tea shop Ming orders «sān bēi nǎichá, liǎng bēi shuǐ». How many drinks is that? Test 10 · ★★★ of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street course of Mova's primary school, with the dependency tree and pragmatics of the question and of --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/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/) / [Olympiad: measure words and characters…](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/) / t10 # Test 10 · ★★★ · Olympiad: measure words and characters as pictures ★★★ ★★★ At the bubble tea shop Ming orders «sān bēi nǎichá, liǎng bēi shuǐ». How many drinks is that? **Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** ★ ★ ★, many drinks · **What happens:** order, be · **To what, where:** bēi nǎichá This is test 10 · ★★★ of lesson 32 «Olympiad: measure words and characters as pictures ★★★» 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/32-olympiad-measure-words-and-picture-characters/#t10). ## The question {#question} *Sentence 1:* ★★★ At the bubble tea shop Ming orders «sān bēi nǎichá, liǎng bēi shuǐ». ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:1 # text = ★★★ At the bubble tea shop Ming orders «sān bēi nǎichá, liǎng bēi shuǐ». 1 ★ ★ PROPN NNP Number=Sing 3 compound _ SpaceAfter=No 2 ★ ★ NOUN NN Number=Sing 3 compound _ SpaceAfter=No 3 ★ ★ NOUN NN Number=Sing 10 nsubj _ _ 4 At at ADP IN _ 8 case _ _ 5 the the DET DT Definite=Def|PronType=Art 8 det _ _ 6 bubble bubble NOUN NN Number=Sing 7 compound _ _ 7 tea tea NOUN NN Number=Sing 8 compound _ _ 8 shop shop NOUN NN Number=Sing 3 nmod _ _ 9 Ming Ming PROPN NNP Number=Sing 10 nsubj _ _ 10 orders order VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 11 « « PUNCT `` _ 12 punct _ SpaceAfter=No 12 sān sān X FW Foreign=Yes 14 dep _ _ 13 bēi bēi X FW Foreign=Yes 14 compound _ _ 14 nǎichá nǎichá NOUN NN Number=Sing 10 obj _ SpaceAfter=No 15 , , PUNCT , _ 18 punct _ _ 16 liǎng liǎng X FW Foreign=Yes 18 compound _ _ 17 bēi bēi X FW Foreign=Yes 18 compound _ _ 18 shuǐ shuǐ NOUN NN Number=Sing 14 appos _ SpaceAfter=No 19 » » PUNCT '' _ 18 punct _ SpaceAfter=No 20 . . PUNCT . _ 10 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **order** | present | ★ ★ ★ at the tea shop | bēi nǎichá | | | | | vn get-13.5.1 «NP V NP»: agent=Agent nǎichá=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. *Sentence 2:* How many drinks is that? ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:2 # text = How many drinks is that? 1 How how ADV WRB PronType=Int 0 root _ _ 2 many many ADJ JJ Degree=Pos 3 amod _ _ 3 drinks drink NOUN NNS Number=Plur 1 nsubj _ _ 4 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 cop _ _ 5 that that PRON DT Number=Sing|PronType=Dem 1 nsubj _ SpaceAfter=No 6 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | many drinks | | | | | how *property* | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} Three ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:o1:1 # text = Three 1 Three three NUM CD NumForm=Word|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Two ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:o2:1 # text = Two 1 Two two NUM CD NumForm=Word|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Six ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:o3:1 # text = Six 1 Six six NUM CD NumForm=Word|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} Five ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t10:o4:1 # text = Five 1 Five five NUM CD NumForm=Word|NumType=Card 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: [Olympiad: measure words and characters…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t9/) - next →: [Olympiad: measure words and characters…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t11/) - ↑ back to [Olympiad: measure words and characters as pictures ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/)