--- title: In Tano, ne goes just before the verb to mean "not": Ti ama = I like… — Olympiad: Breakthrough puzzles in made-up langua… · tree and pragmatics description: In Tano, ne goes just before the verb to mean "not": Ti ama = I like, Ti ne ama = I don't like, Ka ama = you like. Who acts: ne, I, you. A sentence of the lesson «Olympiad: Breakthrough puzzles in made-up languages» of the english course of Mova's primary school with its dependency tree and the prag --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/english/58-olympiad-breakthrough-puzzles-in-made-up-languages/13/) [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/) / [English](https://md.mova.elamur.ai/free/en/corpora/school/english/) / [Olympiad: Breakthrough puzzles in made…](https://md.mova.elamur.ai/free/en/corpora/school/english/58-olympiad-breakthrough-puzzles-in-made-up-languages/) / 13 # Olympiad: Breakthrough puzzles in made-up languages, sentence 13 In Tano, ne goes just before the verb to mean "not": Ti ama = I like, Ti ne ama = I don't like, Ka ama = you like. **Who acts:** ne, I, you · **What happens:** go, mean, like, not like · **To what, where:** Ti, Tano, Ka ama This is a sentence of the lesson «Olympiad: Breakthrough puzzles in made-up languages» of the english 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 (ne, I, you), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:english:058-olympiad-breakthrough-puzzles-in-made-up-languages.lesson:13 # text = In Tano, ne goes just before the verb to mean "not": Ti ama = I like, Ti ne ama = I don't like, Ka ama = you like. # source = school lesson (ours) # course = english # lesson = 058-olympiad-breakthrough-puzzles-in-made-up-languages.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 ×1, R6-punct-agree ×1, R7-rel-agree ×1 1 In in ADP IN _ 2 case _ _ 2 Tano Tano PROPN NNP Number=Sing 5 obl _ _ 3 , , PUNCT , _ 2 punct _ _ 4 ne ne NOUN NN Number=Sing 5 nsubj _ _ 5 goes go VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 6 just just ADV RB _ 9 advmod _ _ 7 before before ADP IN _ 9 case _ _ 8 the the DET DT Definite=Def|PronType=Art 9 det _ _ 9 verb verb NOUN NN Number=Sing 5 obl _ Agree=R7-rel-agree|Haiku=5:obj 10 to to PART TO _ 11 mark _ _ 11 mean mean VERB VB VerbForm=Inf 5 advcl _ Agree=R5-strong|Haiku=9:acl 12 " " PUNCT `` _ 13 punct _ _ 13 not not PART RB Polarity=Neg 11 obj _ _ 14 " " PUNCT '' _ 13 punct _ _ 15 : : PUNCT : _ 16 punct _ _ 16 Ti ti NUM CD NumForm=Word|NumType=Card 5 obl _ _ 17 ama ama NOUN NN Number=Sing 16 nmod:unmarked _ _ 18 = = PUNCT , _ 17 punct _ Agree=R6-punct-agree|Haiku=20:punct 19 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 20 nsubj _ _ 20 like like VERB VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 16 advcl _ _ 21 , , PUNCT , _ 24 punct _ _ 22 Ti ti ADJ JJ Degree=Pos 24 amod _ _ 23 ne ne NOUN NN Number=Sing 24 compound _ _ 24 ama ama NOUN NN Number=Sing 20 parataxis _ _ 25 = = PUNCT , _ 29 punct _ _ 26 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 29 nsubj _ _ 27 do do AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 29 aux _ _ 28 n't not PART RB Polarity=Neg 29 advmod _ _ 29 like like VERB VB VerbForm=Inf 16 conj _ _ 30 , , PUNCT , _ 32 punct _ _ 31 Ka Ka PROPN NNP Number=Sing 32 compound _ _ 32 ama ama NOUN NN Number=Sing 29 obj _ _ 33 = = PUNCT , _ 35 punct _ _ 34 you you PRON PRP Case=Nom|Person=2|PronType=Prs 35 nsubj _ _ 35 like like VERB VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 5 parataxis _ _ 36 . . PUNCT . _ 5 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **go** | present | ne | Ti ama | | Tano | before the verb | | vn occur-48.3-2 «NP V PP»: agent=Theme in tano=Location | | 2 | **mean** | to-infinitive | ne *not said here* | | | | | | vn intend-61.2-1 «NP V NP»: agent=Agent not=Topic | | 3 | **like** | present | I | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot | | 4 | **not** **like** | present · do-support | I | Ka ama | | | | | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot ama=Theme | | 5 | **like** | present | you | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot | 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:english:058-olympiad-breakthrough-puzzles-in-made-up-languages.lesson:13`. **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 ×1, R6-punct-agree ×1, R7-rel-agree ×1. **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: Breakthrough puzzles in made…, 12](https://md.mova.elamur.ai/free/en/corpora/school/english/58-olympiad-breakthrough-puzzles-in-made-up-languages/12/) - next →: [Olympiad: Breakthrough puzzles in made…, 14](https://md.mova.elamur.ai/free/en/corpora/school/english/58-olympiad-breakthrough-puzzles-in-made-up-languages/14/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/english/58-olympiad-breakthrough-puzzles-in-made-up-languages/)