--- title: Bots read text in chunks, not letter by letter, and it was reported… — Olympiad: thinking like a machine, Bebras puzzle… · tree and pragmatics description: Bots read text in chunks, not letter by letter, and it was reported that some of them miscounted the r's in "strawberry", which has three. Who acts: Bots, strawberry, letter. A sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai course of Mova's primary school wi --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/14/) [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/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [Olympiad: thinking like a machine, Beb…](https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/) / 14 # Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 14 Bots read text in chunks, not letter by letter, and it was reported that some of them miscounted the r's in "strawberry", which has three. **Who acts:** Bots, strawberry, letter · **What happens:** read, report, miscount, have, letter · **To what, where:** text, chunks, some, three This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai 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 (Bots, strawberry, letter), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:031-olympiad-thinking-like-a-machine.lesson:14 # text = Bots read text in chunks, not letter by letter, and it was reported that some of them miscounted the r's in "strawberry", which has three. # source = school lesson (ours) # course = ai # lesson = 031-olympiad-thinking-like-a-machine.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): R8-pos-agree ×1 1 Bots bot NOUN NNS Number=Plur 2 nsubj _ _ 2 read read VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 0 root _ Agree=R8-pos-agree|Haiku=0:root|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 text text NOUN NN Number=Sing 2 obj _ _ 4 in in ADP IN _ 5 case _ _ 5 chunks chunk NOUN NNS Number=Plur 2 obl _ _ 6 , , PUNCT , _ 8 punct _ _ 7 not not PART RB Polarity=Neg 8 advmod _ _ 8 letter letter NOUN NN Number=Sing 5 conj _ _ 9 by by ADP IN _ 10 case _ _ 10 letter letter NOUN NN Number=Sing 8 nmod _ _ 11 , , PUNCT , _ 15 punct _ _ 12 and and CCONJ CC _ 15 cc _ _ 13 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 15 nsubj:pass _ _ 14 was be AUX VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 15 aux:pass _ _ 15 reported report VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 2 conj _ _ 16 that that SCONJ IN _ 20 mark _ _ 17 some some DET DT PronType=Ind 20 nsubj:pass _ _ 18 of of ADP IN _ 19 case _ _ 19 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 17 nmod _ _ 20 miscounted miscount VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 15 ccomp _ _ 21 the the DET DT Definite=Def|PronType=Art 22 det _ _ 22 r r NOUN NN Number=Sing 20 obj _ _ 23 's 's PART POS _ 22 case _ _ 24 in in ADP IN _ 26 case _ _ 25 " " PUNCT `` _ 26 punct _ _ 26 strawberry strawberry NOUN NN Number=Sing 22 nmod _ _ 27 " " PUNCT '' _ 26 punct _ _ 28 , , PUNCT , _ 30 punct _ _ 29 which which PRON WDT PronType=Rel 30 nsubj _ _ 30 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 26 acl:relcl _ _ 31 three three NUM CD NumForm=Word|NumType=Card 30 obj _ _ 32 . . PUNCT . _ 2 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **read** | past | Bots | text | | chunks and letter by letter | | | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent text=Topic | | 2 | **report** | past · passive | | text | | | | | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute | | 3 | **miscount** | participle · passive | | some | | | | | tree rules | | 4 | **have** | present | strawberry | three | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent three=Patient | | 5 | **letter** | | letter | | | | | | nom letter «communication transitive»: by=agent | 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:ai:031-olympiad-thinking-like-a-machine.lesson:14`. **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): R8-pos-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: thinking like a machine, Beb…, 13](https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/13/) - next →: [Olympiad: thinking like a machine, Beb…, 15](https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/15/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/31-olympiad-thinking-like-a-machine/)