--- title: zhāng is for flat things with a big surface: yì zhāng zhǐ (paper), y… — Olympiad: measure words and characters as pictur… · tree and pragmatics description: zhāng is for flat things with a big surface: yì zhāng zhǐ (paper), yì zhāng zhàopiàn (a photo), yì zhāng zhuōzi (a table), yì zhāng chuáng (a bed). Who acts: yì. A sentence of the lesson «Olympiad: measure words and characters as pictures ★★★» of the chinese street course of Mova's primary school wi --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/8/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Chinese street](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/) / [Olympiad: measure words and characters…](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/) / 8 # Olympiad: measure words and characters as pictures ★★★, sentence 8 zhāng is for flat things with a big surface: yì zhāng zhǐ (paper), yì zhāng zhàopiàn (a photo), yì zhāng zhuōzi (a table), yì zhāng chuáng (a bed). **Who acts:** yì · **What happens:** be, zhāng, chuáng · **To what, where:** zhǐ This is a sentence of the lesson «Olympiad: measure words and characters as pictures ★★★» of the chinese street course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (yì), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:chinese-street:032-olympiad-measure-words-and-picture-characters.lesson:8 # text = zhāng is for flat things with a big surface: yì zhāng zhǐ (paper), yì zhāng zhàopiàn (a photo), yì zhāng zhuōzi (a table), yì zhāng chuáng (a bed). # source = school lesson (ours) # course = chinese-street # lesson = 032-olympiad-measure-words-and-picture-characters.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R6-punct-agree ×3 1 zhāng zhāng NOUN NN Number=Sing 0 root _ _ 2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 cop _ _ 3 for for ADP IN _ 5 case _ _ 4 flat flat ADJ JJ Degree=Pos 5 amod _ _ 5 things thing NOUN NNS Number=Plur 1 conj _ _ 6 with with ADP IN _ 9 case _ _ 7 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 8 big big ADJ JJ Degree=Pos 9 amod _ _ 9 surface surface NOUN NN Number=Sing 5 nmod _ _ 10 : : PUNCT : _ 11 punct _ _ 11 yì yì X GW ExtPos=PROPN 9 appos _ _ 12 zhāng zhāng VERB VBG Tense=Pres|VerbForm=Part 11 advcl _ _ 13 zhǐ zhǐ PROPN NNP Number=Sing 12 obj _ _ 14 ( ( PUNCT -LRB- _ 15 punct _ _ 15 paper paper NOUN NN Number=Sing 13 appos _ _ 16 ) ) PUNCT -RRB- _ 15 punct _ _ 17 , , PUNCT , _ 19 punct _ _ 18 yì yì PRON PRP Case=Nom|Person=2|PronType=Prs 19 nsubj _ _ 19 zhāng zhāng VERB VBG Tense=Pres|VerbForm=Part 11 conj _ _ 20 zhàopiàn zhàopiàn X FW Foreign=Yes 11 flat _ _ 21 ( ( PUNCT -LRB- _ 23 punct _ _ 22 a a DET DT Definite=Ind|PronType=Art 23 det _ _ 23 photo photo NOUN NN Number=Sing 11 conj _ _ 24 ) ) PUNCT -RRB- _ 23 punct _ Agree=R6-punct-agree|Haiku=11:punct 25 , , PUNCT , _ 27 punct _ _ 26 yì yì PRON PRP Case=Nom|Person=2|PronType=Prs 27 nsubj _ _ 27 zhāng zhāng VERB VBG Tense=Pres|VerbForm=Part 11 conj _ _ 28 zhuōzi zhuōzi X FW Foreign=Yes 11 flat _ _ 29 ( ( PUNCT -LRB- _ 31 punct _ _ 30 a a DET DT Definite=Ind|PronType=Art 31 det _ _ 31 table table NOUN NN Number=Sing 11 conj _ _ 32 ) ) PUNCT -RRB- _ 31 punct _ Agree=R6-punct-agree|Haiku=11:punct 33 , , PUNCT , _ 35 punct _ _ 34 yì yì PRON PRP Case=Nom|Person=2|PronType=Prs 35 nsubj _ _ 35 zhāng zhāng VERB VBG Tense=Pres|VerbForm=Part 11 conj _ _ 36 chuáng chuáng VERB VBG Tense=Pres|VerbForm=Part 35 advcl _ _ 37 ( ( PUNCT -LRB- _ 39 punct _ _ 38 a a DET DT Definite=Ind|PronType=Art 39 det _ _ 39 bed bed NOUN NN Number=Sing 36 parataxis _ _ 40 ) ) PUNCT -RRB- _ 39 punct _ _ 41 . . PUNCT . _ 5 punct _ Agree=R6-punct-agree|Haiku=1:punct ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | | | | | | for flat things; with a big surface | tree rules | | 2 | **zhāng** | gerund | | zhǐ | | | | | tree rules | | 3 | **zhāng** | gerund | yì | | | | | | tree rules | | 4 | **zhāng** | gerund | yì | | | | | | tree rules | | 5 | **zhāng** | gerund | yì | | | | | | tree rules | | 6 | **chuáng** | gerund | yì *not said here* | | | | | | 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. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:chinese-street:032-olympiad-measure-words-and-picture-characters.lesson:8`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R6-punct-agree ×3. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Olympiad: measure words and characters…, 7](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/7/) - next →: [Olympiad: measure words and characters…, 9](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/9/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/)