--- title: 3 toonies and 2 loonies make 3 × 2 + 2 = 8 dollars. — Canadian coins · tree and pragmatics description: 3 toonies and 2 loonies make 3 × 2 + 2 = 8 dollars. Who acts: 3 toonies. A sentence of the lesson «Canadian coins» of the lessons course of Mova's primary school with its dependency tree and the pragmatics of every clause. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/lessons/242-canadian-coins/2/) [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/) / [Lessons](https://md.mova.elamur.ai/free/en/corpora/school/lessons/) / [Canadian coins](https://md.mova.elamur.ai/free/en/corpora/school/lessons/242-canadian-coins/) / 2 # Canadian coins, sentence 2 3 toonies and 2 loonies make 3 × 2 + 2 = 8 dollars. **Who acts:** 3 toonies · **What happens:** make · **To what, where:** 3 2 8 dollars This is a sentence of the lesson «Canadian coins» of the lessons 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 (3 toonies), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:lessons:242-canadian-coins.lesson:2 # text = 3 toonies and 2 loonies make 3 × 2 + 2 = 8 dollars. # source = school lesson (ours) # course = lessons # lesson = 242-canadian-coins.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): R5-strong ×3 1 3 3 NUM CD NumForm=Digit|NumType=Card 2 nummod _ _ 2 toonies toonie NOUN NNS Number=Plur 6 nsubj _ _ 3 and and CCONJ CC _ 5 cc _ _ 4 2 2 NUM CD NumForm=Digit|NumType=Card 5 nummod _ _ 5 loonies loonie NOUN NNS Number=Plur 2 conj _ _ 6 make make VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 3 3 NUM CD NumForm=Digit|NumType=Card 14 nummod _ Agree=R5-strong|Haiku=8:nummod 8 × × SYM SYM Number=Sing 9 case _ Agree=R5-strong|Haiku=6:obj 9 2 2 NUM CD NumForm=Digit|NumType=Card 14 nummod _ _ 10 + + SYM SYM _ 11 cc _ _ 11 2 2 NUM CD NumForm=Digit|NumType=Card 9 conj _ _ 12 = = SYM SYM _ 13 case _ _ 13 8 8 NUM CD NumForm=Digit|NumType=Card 14 nummod _ Agree=R5-strong|Haiku=9:nmod 14 dollars dollar NOUN NNS Number=Plur 6 obj _ _ 15 . . PUNCT . _ 6 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **make** | present | 3 toonies and 2 loonies | 3 2 8 dollars | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset dollar=Product | 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:lessons:242-canadian-coins.lesson:2`. **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): R5-strong ×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: [Canadian coins, 1](https://md.mova.elamur.ai/free/en/corpora/school/lessons/242-canadian-coins/1/) - next →: [British coins and notes, 0](https://md.mova.elamur.ai/free/en/corpora/school/lessons/243-british-coins-and-notes/0/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/lessons/242-canadian-coins/)