--- title: Ascertain the meaning of the character 林, composed of two instances… — Olympiad: measure words and characters… · tree and pragmatics description: Ascertain the meaning of the character 林, composed of two instances of 木. Exam question 2 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 each option; Mova's ch --- [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/e2/) [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/) / e2 # Exam question 2 · Olympiad: measure words and characters as pictures ★★★ Ascertain the meaning of the character 林, composed of two instances of 木. **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** you · **What happens:** ascertain, compose, mean, instance · **To what, where:** meaning, character 林, 木 This is exam question 2 of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street course of Mova's primary school, asked in stiff, formal language. 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/#e2). ## The question {#question} ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e2:1 # text = Ascertain the meaning of the character 林, composed of two instances of 木. 1 Ascertain ascertain VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 3 det _ _ 3 meaning meaning NOUN NN Number=Sing 1 obj _ _ 4 of of ADP IN _ 7 case _ _ 5 the the DET DT Definite=Def|PronType=Art 7 det _ _ 6 character character NOUN NN Number=Sing 7 compound _ _ 7 林 林 NOUN NN Number=Sing 3 nmod _ SpaceAfter=No 8 , , PUNCT , _ 9 punct _ _ 9 composed compose VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 7 acl _ _ 10 of of ADP IN _ 12 case _ _ 11 two two NUM CD NumForm=Word|NumType=Card 12 nummod _ _ 12 instances instance NOUN NNS Number=Plur 9 obl _ _ 13 of of ADP IN _ 14 case _ _ 14 木 木 NOUN NN Number=Sing 12 nmod _ SpaceAfter=No 15 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **ascertain** | imperative | you *not said here* | the meaning of the character 林 | | | | | vn discover-84 «NP V NP»: agent=Agent meaning=Topic | | 2 | **compose** | participle | | the character 林 *not said here* | | | | of two instances of 木 | vn create-26.4-1 «NP V»: agent=Agent | | 3 | **mean** | | | the character 林 | | | | | nom meaning «communication transitive»: of=patient | | 4 | **instance** | | | 木 | | | | | nom instance «event transitive»: of=patient | 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. ## The options {#options} ### Option 1 · ← Mova's choice {#o1} A tree ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e2:o1:1 # text = A tree 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 tree tree NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} A mountain ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e2:o2:1 # text = A mountain 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 mountain mountain NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} A wood ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e2:o3:1 # text = A wood 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 wood wood NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} A river ```conllu # sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e2:o4:1 # text = A river 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 river river 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: [Olympiad: measure words and characters…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/e1/) - next →: [Olympiad: measure words and characters…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/e3/) - ↑ 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/)