--- title: «wǒ dì èr» says Ming after the race. What is his place? — Counting to 100 and lucky numbers · tree and pragmatics description: «wǒ dì èr» says Ming after the race. What is his place? Test 7 · ★★ of lesson 7 «Counting to 100 and lucky numbers» 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/7-counting-to-a-hundred-lucky-numbers/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/) / [Counting to 100 and lucky numbers](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/7-counting-to-a-hundred-lucky-numbers/) / t7 # Test 7 · ★★ · Counting to 100 and lucky numbers «wǒ dì èr» says Ming after the race. What is his place? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** wǒ, place · **What happens:** say, be · **Speech:** someone speaks here This is test 7 · ★★ of lesson 7 «Counting to 100 and lucky numbers» 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/7-counting-to-a-hundred-lucky-numbers/#t7). ## The question {#question} *Sentence 1:* «wǒ dì èr» says Ming after the race. ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:1 # text = «wǒ dì èr» says Ming after the race. 1 « « PUNCT `` _ 2 punct _ SpaceAfter=No 2 wǒ wǒ X FW Foreign=Yes 6 nsubj _ _ 3 dì dì X FW _ 2 flat:foreign _ _ 4 èr èr X FW Foreign=Yes 2 flat:foreign _ SpaceAfter=No 5 » » PUNCT '' _ 6 punct _ _ 6 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 Ming Ming PROPN NNP Number=Sing 6 nsubj _ _ 8 after after ADP IN _ 10 case _ _ 9 the the DET DT Definite=Def|PronType=Art 10 det _ _ 10 race race NOUN NN Number=Sing 6 obl _ SpaceAfter=No 11 . . PUNCT . _ 6 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | present | wǒ | | | | after the race | | vn say-37.7-1-1 «NP V that S»: 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 is his place? ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:2 # text = What is his place? 1 What what PRON WP PronType=Int 0 root _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 cop _ _ 3 his his PRON PRP$ Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs 4 nmod:poss _ _ 4 place place NOUN NN Number=Sing 1 nsubj _ SpaceAfter=No 5 ? ? PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is a** | present | wǒ's place | | | | | | tree rules | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} He has two legs ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:o1:1 # text = He has two legs 1 He he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 2 nsubj _ _ 2 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 3 two two NUM CD NumForm=Word|NumType=Card 4 nummod _ _ 4 legs leg NOUN NNS Number=Plur 2 obj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **have** | present | He | two legs | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent leg=Patient | ### Option 2 {#o2} Two points ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:o2:1 # text = Two points 1 Two two NUM CD NumForm=Word|NumType=Card 2 nummod _ _ 2 points point NOUN NNS Number=Plur 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} Second ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:o3:1 # text = Second 1 Second second ADV RB NumForm=Word|NumType=Ord 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} Twentieth ```conllu # sent_id = question:chinese-street:7-counting-to-a-hundred-lucky-numbers:t7:o4:1 # text = Twentieth 1 Twentieth twentieth 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: [Counting to 100 and lucky numbers, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/7-counting-to-a-hundred-lucky-numbers/t6/) - next →: [Counting to 100 and lucky numbers, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/7-counting-to-a-hundred-lucky-numbers/t8/) - ↑ back to [Counting to 100 and lucky numbers](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/7-counting-to-a-hundred-lucky-numbers/)