--- title: Slang: «bare» (London) means lots of; «arvo» (Australia) means after… — Word classes: the jobs words do · tree and pragmatics description: Slang: «bare» (London) means lots of; «arvo» (Australia) means afternoon; «yeah nah» (Australia, New Zealand) means no or not really; «well» before a describing word (Britain) means very, as in «well good». Who acts: Slang, arvo. A sentence of the lesson «Word classes: the jobs words do» of the engl --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/english/27-word-classes-the-jobs-words-do/32/) [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/) / [Word classes: the jobs words do](https://md.mova.elamur.ai/free/en/corpora/school/english/27-word-classes-the-jobs-words-do/) / 32 # Word classes: the jobs words do, sentence 32 Slang: «bare» (London) means lots of; «arvo» (Australia) means afternoon; «yeah nah» (Australia, New Zealand) means no or not really; «well» before a describing word (Britain) means very, as in «well good». **Who acts:** Slang, arvo · **What happens:** mean, describe · **To what, where:** lots, no, good · **Speech:** someone speaks here This is a sentence of the lesson «Word classes: the jobs words do» 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 (Slang, arvo), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:english:027-word-classes-the-jobs-words-do.lesson:32 # text = Slang: «bare» (London) means lots of; «arvo» (Australia) means afternoon; «yeah nah» (Australia, New Zealand) means no or not really; «well» before a describing word (Britain) means very, as in «well good». # source = school lesson (ours) # course = english # lesson = 027-word-classes-the-jobs-words-do.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 ×4, R6-punct-agree ×2 1 Slang slang NOUN NN Number=Sing 9 nsubj _ _ 2 : : PUNCT : _ 4 punct _ _ 3 « « PUNCT `` _ 4 punct _ _ 4 bare bear NOUN NN Number=Sing 9 nsubj _ Agree=R5-strong|Haiku=1:appos 5 » » PUNCT '' _ 4 punct _ _ 6 ( ( PUNCT -LRB- _ 7 punct _ _ 7 London London PROPN NNP Number=Sing 4 appos _ _ 8 ) ) PUNCT -RRB- _ 7 punct _ _ 9 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 10 lots lot NOUN NNS Number=Plur 9 obj _ _ 11 of of ADP IN _ 10 nmod _ _ 12 ; ; PUNCT , _ 9 punct _ _ 13 « « PUNCT `` _ 14 punct _ _ 14 arvo arvo NOUN NN Number=Sing 19 nsubj _ _ 15 » » PUNCT '' _ 14 punct _ _ 16 ( ( PUNCT -LRB- _ 17 punct _ _ 17 Australia Australia PROPN NNP Number=Sing 14 appos _ _ 18 ) ) PUNCT -RRB- _ 17 punct _ _ 19 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 9 parataxis _ _ 20 afternoon afternoon NOUN NN Number=Sing 19 obj _ _ 21 ; ; PUNCT , _ 22 punct _ _ 22 « « PUNCT `` _ 24 punct _ _ 23 yeah yeah INTJ UH _ 19 discourse _ _ 24 nah nah INTJ UH _ 32 nsubj _ _ 25 » » PUNCT '' _ 24 punct _ _ 26 ( ( PUNCT -LRB- _ 27 punct _ _ 27 Australia Australia PROPN NNP Number=Sing 24 appos _ _ 28 , , PUNCT , _ 30 punct _ _ 29 New New PROPN NNP Number=Sing 30 amod _ _ 30 Zealand Zealand PROPN NNP Number=Sing 27 conj _ _ 31 ) ) PUNCT -RRB- _ 27 punct _ _ 32 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 19 parataxis _ _ 33 no no DET DT PronType=Neg 32 obj _ Agree=R5-strong|Haiku=48:det 34 or or CCONJ CC _ 36 cc _ Agree=R5-strong|Haiku=40:cc 35 not not PART RB Polarity=Neg 36 advmod _ _ 36 really really ADV RB _ 40 advmod _ _ 37 ; ; PUNCT , _ 40 punct _ _ 38 « « PUNCT `` _ 39 punct _ _ 39 well well ADV RB Degree=Pos 48 nsubj _ _ 40 » » PUNCT '' _ 39 punct _ _ 41 before before ADP IN _ 44 case _ _ 42 a a DET DT Definite=Ind|PronType=Art 44 det _ _ 43 describing describe VERB VBG VerbForm=Ger 44 amod _ _ 44 word word NOUN NN Number=Sing 48 obl _ _ 45 ( ( PUNCT -LRB- _ 46 punct _ _ 46 Britain Britain PROPN NNP Number=Sing 44 appos _ _ 47 ) ) PUNCT -RRB- _ 46 punct _ _ 48 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 32 ccomp _ _ 49 very very ADV RB _ 48 advmod _ _ 50 , , PUNCT , _ 53 punct _ _ 51 as as ADP IN _ 53 case _ _ 52 in in ADP IN _ 51 fixed _ Agree=R5-strong|Haiku=53:case 53 « « PUNCT `` _ 55 punct _ Agree=R6-punct-agree|Haiku=48:punct 54 well well ADV RB Degree=Pos 55 advmod _ _ 55 good good ADJ JJ Degree=Pos 48 obj _ _ 56 » » PUNCT '' _ 55 punct _ _ 57 . . PUNCT . _ 1 punct _ Agree=R6-punct-agree|Haiku=9:punct ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: changed act=assert | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **mean** | present | Slang | lots | | | | | vn intend-61.2-1 «NP V NP»: agent=Agent lot=Topic | | 2 | **mean** | present | arvo | | | | afternoon | | vn intend-61.2-1 «NP V S»: agent=Agent | | 3 | **mean** | present | | no | | | | | tree rules | | 4 | **describe** | gerund | | | | | | | vn characterize-29.2-1-1 «NP V S\_ING»: agent=Agent | | 5 | **mean** | present | | good | | | before a describing word | | vn intend-61.2-1 «NP V NP»: agent=Agent good=Topic | 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:027-word-classes-the-jobs-words-do.lesson:32`. **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 ×4, R6-punct-agree ×2. **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: [Word classes: the jobs words do, 30](https://md.mova.elamur.ai/free/en/corpora/school/english/27-word-classes-the-jobs-words-do/30/) - next →: [Clauses: main, subordinate and joining…, 0](https://md.mova.elamur.ai/free/en/corpora/school/english/28-clauses-main-subordinate-and-joining-words/0/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/english/27-word-classes-the-jobs-words-do/)