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Exam question 4 · Tom and Jerry: do real cats really chase mice?

Ascertain the approximate ratio of the mass of an adult domestic cat to that of a house mouse.

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: you · What happens: ascertain · To what, where: approximate ratio

This is exam question 4 of lesson 118 «Tom and Jerry: do real cats really chase mice?» of the biology course of Mova's primary school, asked in stiff, formal language. 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.

The question

detamodobjcasedetnmodcasedetnsubjamodnmodcasenmodcasedetcompoundnmodpunctrootAscertainVERBtheDETapproximateADJratioNOUNofADPtheDETmassNOUNofADPanDETadultNOUNdomesticADJcatNOUNtoADPthatPRONofADPaDEThouseNOUNmouseNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AscertainascertainVERBMood=Imp VerbForm=Finrootroot
2thetheDETDefinite=Def PronType=Art4 ratiodet
3approximateapproximateADJDegree=Pos4 ratioamod
4ratioratioNOUNNumber=Sing1 Ascertainobj
5ofofADP_7 masscase
6thetheDETDefinite=Def PronType=Art7 massdet
7massmassNOUNNumber=Sing4 rationmod
8ofofADP_12 catcase
9anaDETDefinite=Ind PronType=Art12 catdet
10adultadultNOUNNumber=Sing12 catnsubj
11domesticdomesticADJDegree=Pos12 catamod
12catcatNOUNNumber=Sing7 massnmod
13totoADP_14 thatcase
14thatthatPRONNumber=Sing PronType=Dem12 catnmod
15ofofADP_18 mousecase
16aaDETDefinite=Ind PronType=Art18 mousedet
17househouseNOUNNumber=Sing18 mousecompound
18mousemouseNOUNNumber=Sing14 thatnmod
19..PUNCT_1 Ascertainpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ascertainimperativeyou not said herethe approximate ratio of the mass of a domestic cat to thatvn discover-84 «NP V NP»: agent=Agent ratio=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.

The options

Option 1 · ← Mova's choice

Approximately one to one

advmodcasenmodrootApproximatelyADVoneNUMtoADPoneNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_2 oneadvmod
2oneoneNUMNumForm=Word NumType=Cardrootroot
3totoADP_4 onecase
4oneoneNUMNumForm=Word NumType=Card2 onenmod

The frames reader finds no event or fact in this sentence.

Option 2 · ✓ the right answer

Approximately two hundred to one

advmodcompoundcasenmodrootApproximatelyADVtwoNUMhundredNUMtoADPoneNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_3 hundredadvmod
2twotwoNUMNumForm=Word NumType=Card3 hundredcompound
3hundredhundredNUMNumForm=Word NumType=Cardrootroot
4totoADP_5 onecase
5oneoneNUMNumForm=Word NumType=Card3 hundrednmod

The frames reader finds no event or fact in this sentence.

Option 3

Approximately two to one

advmodcasenmodrootApproximatelyADVtwoNUMtoADPoneNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_2 twoadvmod
2twotwoNUMNumForm=Word NumType=Cardrootroot
3totoADP_4 onecase
4oneoneNUMNumForm=Word NumType=Card2 twonmod

The frames reader finds no event or fact in this sentence.

Option 4

Approximately twenty thousand to one

advmodcompoundcasenmodrootApproximatelyADVtwentyNUMthousandNUMtoADPoneNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_3 thousandadvmod
2twentytwentyNUMNumForm=Word NumType=Card3 thousandcompound
3thousandthousandNUMNumForm=Word NumType=Cardrootroot
4totoADP_5 onecase
5oneoneNUMNumForm=Word NumType=Card3 thousandnmod

The frames reader finds no event or fact in this sentence.

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/biology/118-tom-and-jerry-do-real-cats-chase-mice/e4/