--- title: One word can do several jobs: "fast" can be a describing word, a how… — Grammar puzzles, part two · tree and pragmatics description: One word can do several jobs: "fast" can be a describing word, a how-word, a doing-word or a naming-word, and only the sentence tells you which. Who acts: One word, fast, sentence. A sentence of the lesson «Grammar puzzles, part two» of the language course of Mova's primary school with its dependenc --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/3/) [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/) / [Language](https://md.mova.elamur.ai/free/en/corpora/school/language/) / [Grammar puzzles, part two](https://md.mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/) / 3 # Grammar puzzles, part two, sentence 3 One word can do several jobs: "fast" can be a describing word, a how-word, a doing-word or a naming-word, and only the sentence tells you which. **Who acts:** One word, fast, sentence · **What happens:** do, describe, be, tell · **To what, where:** several jobs, describing word, you · **Speech:** someone speaks here This is a sentence of the lesson «Grammar puzzles, part two» of the language 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 (One word, fast, sentence), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:language:036-grammar-puzzles-part-two.lesson:3 # text = One word can do several jobs: "fast" can be a describing word, a how-word, a doing-word or a naming-word, and only the sentence tells you which. # source = school lesson (ours) # course = language # lesson = 036-grammar-puzzles-part-two.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): R7-rel-agree ×3 1 One one NUM CD NumForm=Word|NumType=Card 2 nummod _ _ 2 word word NOUN NN Number=Sing 4 nsubj _ _ 3 can can AUX MD VerbForm=Fin 4 aux _ _ 4 do do VERB VB VerbForm=Inf 0 root _ _ 5 several several ADJ JJ Degree=Pos 6 amod _ _ 6 jobs job NOUN NNS Number=Plur 4 obj _ _ 7 : : PUNCT : _ 9 punct _ _ 8 " " PUNCT `` _ 9 punct _ _ 9 fast fast ADJ JJ Degree=Pos 15 nsubj _ _ 10 " " PUNCT '' _ 9 punct _ _ 11 can can AUX MD VerbForm=Fin 15 aux _ _ 12 be be AUX VB VerbForm=Inf 15 cop _ _ 13 a a DET DT Definite=Ind|PronType=Art 15 det _ _ 14 describing describe VERB VBG VerbForm=Ger 15 amod _ _ 15 word word NOUN NN Number=Sing 4 parataxis _ Agree=R7-rel-agree|Haiku=4:ccomp 16 , , PUNCT , _ 20 punct _ _ 17 a a DET DT Definite=Ind|PronType=Art 20 det _ _ 18 how how ADV WRB PronType=Int 20 compound _ Agree=R7-rel-agree|Haiku=20:advmod 19 - - PUNCT HYPH _ 18 punct _ _ 20 word word NOUN NN Number=Sing 15 conj _ _ 21 , , PUNCT , _ 25 punct _ _ 22 a a DET DT Definite=Ind|PronType=Art 25 det _ _ 23 doing do VERB VBG VerbForm=Ger 25 compound _ Agree=R7-rel-agree|Haiku=25:amod 24 - - PUNCT HYPH _ 23 punct _ _ 25 word word NOUN NN Number=Sing 20 appos _ _ 26 or or CCONJ CC _ 30 cc _ _ 27 a a DET DT Definite=Ind|PronType=Art 30 det _ _ 28 naming naming NOUN NN Number=Sing 30 compound _ _ 29 - - PUNCT HYPH _ 28 punct _ _ 30 word word NOUN NN Number=Sing 25 conj _ _ 31 , , PUNCT , _ 36 punct _ _ 32 and and CCONJ CC _ 36 cc _ _ 33 only only ADV RB _ 36 advmod _ _ 34 the the DET DT Definite=Def|PronType=Art 35 det _ _ 35 sentence sentence NOUN NN Number=Sing 36 nsubj _ _ 36 tells tell VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 advcl _ _ 37 you you PRON PRP Case=Acc|Person=2|PronType=Prs 36 iobj _ _ 38 which which PRON WDT PronType=Rel 36 obj _ _ 39 . . PUNCT . _ 4 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 | **do** | can | One word | several jobs | | | | | vn act-114-1 «NP V NP»: agent=Agent job=Eventuality | | 2 | **describe** | gerund | | | | | | | vn characterize-29.2-1-1 «NP V S\_ING»: agent=Agent | | 3 | **is a** | can | fast | a describing word and a how word | | | | | tree rules | | 4 | **do** | gerund | | | | | | | vn act-114-1 «NP V»: agent=Agent | | 5 | **tell** *speech: assert* | present | the sentence | | you | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP-Dative NP»: agent=Agent you=Recipient which=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:language:036-grammar-puzzles-part-two.lesson:3`. **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): R7-rel-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: [Grammar puzzles, part two, 2](https://md.mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/2/) - next →: [Grammar puzzles, part two, 4](https://md.mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/language/36-grammar-puzzles-part-two/)