--- title: The fast way: underline the key word in the question (time, buy, whe… — Retrieval: finding the answer in the text · tree and pragmatics description: The fast way: underline the key word in the question (time, buy, where), then scan, which means running your eyes quickly over the text looking only for that word or number. Who acts: you. A sentence of the lesson «Retrieval: finding the answer in the text» of the english course of Mova's primary sc --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/english/17-retrieval-finding-the-answer-in-the-text/6/) [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/) / [Retrieval: finding the answer in the t…](https://md.mova.elamur.ai/free/en/corpora/school/english/17-retrieval-finding-the-answer-in-the-text/) / 6 # Retrieval: finding the answer in the text, sentence 6 The fast way: underline the key word in the question (time, buy, where), then scan, which means running your eyes quickly over the text looking only for that word or number. **Who acts:** you · **What happens:** underline, buy, scan, mean, run, look · **To what, where:** key word, question, fast way, eyes, text This is a sentence of the lesson «Retrieval: finding the answer in the text» 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 (you), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:english:017-retrieval-finding-the-answer-in-the-text.lesson:6 # text = The fast way: underline the key word in the question (time, buy, where), then scan, which means running your eyes quickly over the text looking only for that word or number. # source = school lesson (ours) # course = english # lesson = 017-retrieval-finding-the-answer-in-the-text.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): R6-punct-agree ×2 1 The the DET DT Definite=Def|PronType=Art 3 det _ _ 2 fast fast ADJ JJ Degree=Pos 3 amod _ _ 3 way way NOUN NN Number=Sing 15 obl:unmarked _ _ 4 : : PUNCT : _ 3 punct _ Agree=R6-punct-agree|Haiku=5:punct 5 underline underline VERB VB Mood=Imp|VerbForm=Fin 3 appos _ _ 6 the the DET DT Definite=Def|PronType=Art 8 det _ _ 7 key key ADJ JJ Degree=Pos 8 amod _ _ 8 word word NOUN NN Number=Sing 5 obj _ _ 9 in in ADP IN _ 11 case _ _ 10 the the DET DT Definite=Def|PronType=Art 11 det _ _ 11 question question NOUN NN Number=Sing 8 nmod _ _ 12 ( ( PUNCT -LRB- _ 13 punct _ _ 13 time time NOUN NN Number=Sing 15 obl _ _ 14 , , PUNCT , _ 15 punct _ Agree=R6-punct-agree|Haiku=13:punct 15 buy buy VERB VB VerbForm=Inf 0 root _ _ 16 , , PUNCT , _ 17 punct _ _ 17 where where ADV WRB PronType=Rel 15 advmod _ _ 18 ) ) PUNCT -RRB- _ 17 punct _ _ 19 , , PUNCT , _ 21 punct _ _ 20 then then ADV RB PronType=Dem 21 advmod _ _ 21 scan scan VERB VB Mood=Imp|VerbForm=Fin 5 conj _ _ 22 , , PUNCT , _ 24 punct _ _ 23 which which PRON WDT PronType=Rel 24 nsubj _ _ 24 means mean VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 21 acl:relcl _ _ 25 running run VERB VBG VerbForm=Ger 24 xcomp _ _ 26 your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 27 nmod:poss _ _ 27 eyes eye NOUN NNS Number=Plur 25 obj _ _ 28 quickly quickly ADV RB _ 25 advmod _ _ 29 over over ADP IN _ 31 case _ _ 30 the the DET DT Definite=Def|PronType=Art 31 det _ _ 31 text text NOUN NN Number=Sing 25 obl _ _ 32 looking look VERB VBG VerbForm=Ger 25 conj _ _ 33 only only ADV RB _ 36 advmod _ _ 34 for for ADP IN _ 36 case _ _ 35 that that DET DT Number=Sing|PronType=Dem 36 det _ _ 36 word word NOUN NN Number=Sing 32 obl _ _ 37 or or CCONJ CC _ 38 cc _ _ 38 number number NOUN NN Number=Sing 36 conj _ _ 39 . . PUNCT . _ 15 punct _ _ ``` ## Pragmatics {#pragmatics} - form: command - act: suggest - voice: narrator - polarity: none - teacher: changed form=imp, act=suggest | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **underline** | infinitive | | the key word | | the question | | | vn scribble-25.2 «NP V NP PP.destination»: agent=Agent word=Theme in question=Destination | | 2 | **buy** | imperative | you *not said here* | the fast way | | | time | | vn accept-77.1 «NP V how S»: agent=Agent | | 3 | **scan** | infinitive | | | | | then | | vn assessment-34.1 «NP V NP»: agent=Agent | | 4 | **mean** | present | | | | | | | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic | | 5 | **run** *not said to happen* | gerund | | your eyes | | the text | | quickly *property* | vn run-51.3.2-2-1 «NP V NP PP.trajectory»: agent=Agent eye=Theme over text=Trajectory | | 6 | **look** | gerund | | | | | | for that word or number | vn rummage-35.5 «NP V PP.location PP.theme»: agent=Agent for word=Theme | 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:017-retrieval-finding-the-answer-in-the-text.lesson:6`. **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): 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: [Retrieval: finding the answer in the t…, 3](https://md.mova.elamur.ai/free/en/corpora/school/english/17-retrieval-finding-the-answer-in-the-text/3/) - next →: [Retrieval: finding the answer in the t…, 7](https://md.mova.elamur.ai/free/en/corpora/school/english/17-retrieval-finding-the-answer-in-the-text/7/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/english/17-retrieval-finding-the-answer-in-the-text/)