--- title: Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". What did she nearly… — Happy, angry, bored, scared · tree and pragmatics description: Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". What did she nearly say? Test 11 of lesson 16 «Happy, angry, bored, scared» 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/16-happy-angry-bored-scared/t11/) [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/) / [Happy, angry, bored, scared](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/16-happy-angry-bored-scared/) / t11 # Test 11 · Happy, angry, bored, scared Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". What did she nearly say? **Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** sister · **What happens:** mix up, say · **To what, where:** kū · **Speech:** someone speaks here This is test 11 of lesson 16 «Happy, angry, bored, scared» 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/16-happy-angry-bored-scared/#t11). ## The question {#question} *Sentence 1:* Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:1 # text = Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". 1 Lín Lín PROPN NNP Number=Sing 3 nmod:poss _ SpaceAfter=No 2 's 's PART POS _ 1 case _ _ 3 sister sister NOUN NN Number=Sing 4 nsubj _ _ 4 mixes mix VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 up up ADP RP _ 4 compound:prt _ _ 6 kū kū NOUN NN Number=Sing 4 obj _ _ 7 and and CCONJ CC _ 8 cc _ _ 8 kǔ kǔ NOUN NN Number=Sing 6 conj _ SpaceAfter=No 9 : : PUNCT : _ 13 punct _ _ 10 " " PUNCT `` _ 11 punct _ SpaceAfter=No 11 wǒ wǒ X FW Foreign=Yes 13 compound _ _ 12 xiǎng xiǎng X FW _ 13 compound _ _ 13 kǔ kǔ NOUN NN Number=Sing 4 parataxis _ SpaceAfter=No 14 " " PUNCT '' _ 13 punct _ SpaceAfter=No 15 . . PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **mix up** | present | Lín's sister | kū and kǔ | | | | | tree rules | 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 did she nearly say? ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:2 # text = What did she nearly say? 1 What what PRON WP PronType=Int 5 obj _ _ 2 did do AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 aux _ _ 3 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 4 nearly nearly ADV RB _ 5 advmod _ _ 5 say say VERB VB VerbForm=Inf 0 root _ SpaceAfter=No 6 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past · do-support | sister | | | | | nearly *property* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | ## The options {#options} ### Option 1 {#o1} Something about a dog ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:o1:1 # text = Something about a dog 1 Something something PRON NN Number=Sing|PronType=Ind 0 root _ _ 2 about about ADP IN _ 4 case _ _ 3 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 4 dog dog NOUN NN Number=Sing 1 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Something about a cow ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:o2:1 # text = Something about a cow 1 Something something PRON NN Number=Sing|PronType=Ind 0 root _ _ 2 about about ADP IN _ 4 case _ _ 3 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 4 cow cow NOUN NN Number=Sing 1 nmod _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ← Mova's choice · ✓ the right answer {#o3} Something about bitter, not crying ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:o3:1 # text = Something about bitter, not crying 1 Something something PRON NN Number=Sing|PronType=Ind 0 root _ _ 2 about about ADP IN _ 3 case _ _ 3 bitter bitter ADJ JJ Degree=Pos 1 nmod _ SpaceAfter=No 4 , , PUNCT , _ 6 punct _ _ 5 not not PART RB Polarity=Neg 6 advmod _ _ 6 crying cry VERB VBG Tense=Pres|VerbForm=Part 1 conj _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **not** **cry** *speech: express* | gerund | | | | | | | vn manner\_speaking-37.3 «NP V»: agent=Agent | ### Option 4 {#o4} Something about cool ```conllu # sent_id = question:chinese-street:16-happy-angry-bored-scared:t11:o4:1 # text = Something about cool 1 Something something PRON NN Number=Sing|PronType=Ind 0 root _ _ 2 about about ADV RB _ 3 advmod _ _ 3 cool cool ADJ JJ Degree=Pos 1 amod _ _ ``` 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: [Happy, angry, bored, scared, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/16-happy-angry-bored-scared/t10/) - next →: [Happy, angry, bored, scared, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/16-happy-angry-bored-scared/e1/) - ↑ back to [Happy, angry, bored, scared](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/16-happy-angry-bored-scared/)