---
title: Ollie's chat log: after "I'm" came "starving" 5 times, "fine" 3 time… — Olympiad: thinking like a machine, Beb… · tree and pragmatics
description: Ollie's chat log: after "I'm" came "starving" 5 times, "fine" 3 times, "bored" 2 times. Which word will a simple next-word guesser pick after "I'm"? Test 8 · ★★★ of lesson 31 «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the AI course of Mova's primary school, with the dependency tree a
---

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# Test 8 · ★★★ · Olympiad: thinking like a machine, Bebras puzzles ★★★

<!-- .ven lang=en -->
Ollie's chat log: after "I'm" came "starving" 5 times, "fine" 3 times, "bored" 2 times. Which word will a simple next-word guesser pick after "I'm"?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** I · **What happens:** be, starve · **To what, where:** chat log

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This is test 8 · ★★★ of lesson 31 «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the AI course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/31-olympiad-thinking-like-a-machine/#t8).

## The question {#question}

<!-- .note -->
*Sentence 1:* Ollie's chat log: after "I'm" came "starving" 5 times, "fine" 3 times, "bored" 2 times.

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:1
# text = Ollie's chat log: after "I'm" came "starving" 5 times, "fine" 3 times, "bored" 2 times.
1	Ollie	Ollie	PROPN	NNP	Number=Sing	4	nmod:poss	_	SpaceAfter=No
2	's	's	PART	POS	_	1	case	_	_
3	chat	chat	NOUN	NN	Number=Sing	4	compound	_	_
4	log	log	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
5	:	:	PUNCT	:	_	4	punct	_	_
6	after	after	SCONJ	IN	_	11	mark	_	_
7	"	"	PUNCT	``	_	11	punct	_	SpaceAfter=No
8	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	11	nsubj	_	SpaceAfter=No
9	'm	be	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	11	cop	_	SpaceAfter=No
10	"	"	PUNCT	``	_	11	punct	_	_
11	came	come	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	4	acl:relcl	_	_
12	"	"	PUNCT	``	_	13	punct	_	SpaceAfter=No
13	starving	starve	VERB	VBG	Tense=Pres|VerbForm=Part	11	advcl	_	SpaceAfter=No
14	"	"	PUNCT	''	_	13	punct	_	_
15	5	5	NUM	CD	NumForm=Digit|NumType=Card	16	nummod	_	_
16	times	time	NOUN	NNS	Number=Plur	13	obl:unmarked	_	SpaceAfter=No
17	,	,	PUNCT	,	_	19	punct	_	_
18	"	"	PUNCT	``	_	19	punct	_	SpaceAfter=No
19	fine	fine	ADJ	JJ	Degree=Pos	13	conj	_	SpaceAfter=No
20	"	"	PUNCT	''	_	19	punct	_	_
21	3	3	NUM	CD	NumForm=Digit|NumType=Card	22	nummod	_	_
22	times	time	NOUN	NNS	Number=Plur	19	obl:unmarked	_	SpaceAfter=No
23	,	,	PUNCT	,	_	28	punct	_	_
24	"	"	PUNCT	``	_	25	punct	_	SpaceAfter=No
25	bored	bored	ADJ	JJ	Degree=Pos	28	amod	_	SpaceAfter=No
26	"	"	PUNCT	''	_	25	punct	_	_
27	2	2	NUM	CD	NumForm=Digit|NumType=Card	28	nummod	_	_
28	times	time	NOUN	NNS	Number=Plur	22	conj	_	SpaceAfter=No
29	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | I | Ollie's chat log *not said here* |  |  |  | come *property* | tree rules |
| 2 | **starve** *in a quote* | gerund | I *not said here* |  |  |  | time |  | tree rules |

<!-- .note -->
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.

<!-- .note -->
*Sentence 2:* Which word will a simple next-word guesser pick after "I'm"?

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:2
# text = Which word will a simple next-word guesser pick after "I'm"?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	word	word	NOUN	NN	Number=Sing	10	nsubj	_	_
3	will	will	AUX	MD	VerbForm=Fin	10	aux	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
5	simple	simple	ADJ	JJ	Degree=Pos	10	amod	_	_
6	next	next	ADJ	JJ	Degree=Pos	8	amod	_	SpaceAfter=No
7	-	-	PUNCT	HYPH	_	6	punct	_	SpaceAfter=No
8	word	word	NOUN	NN	Number=Sing	9	compound	_	_
9	guesser	guesser	NOUN	NN	Number=Sing	10	compound	_	_
10	pick	pick	NOUN	NN	Number=Sing	0	root	_	_
11	after	after	SCONJ	IN	_	14	mark	_	_
12	"	"	PUNCT	``	_	14	punct	_	SpaceAfter=No
13	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	14	nsubj	_	SpaceAfter=No
14	'm	be	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	10	acl	_	SpaceAfter=No
15	"	"	PUNCT	''	_	14	punct	_	SpaceAfter=No
16	?	?	PUNCT	.	_	10	punct	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
bored

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:o1:1
# text = bored
1	bored	bored	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
starving

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:o2:1
# text = starving
1	starving	starve	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **starve** | gerund |  |  |  |  |  |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
fine

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:o3:1
# text = fine
1	fine	fine	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 4 {#o4}

<!-- .ven lang=en -->
hungry

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t8:o4:1
# text = hungry
1	hungry	hungry	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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