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Exam question 4 · Sharks by kind: great white, tiger, bull and hammerhead

Ascertain the approximate number of unprovoked bites on human beings attributed to all sharks annually throughout the world.

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

This is exam question 4 of lesson 310 «Sharks by kind: great white, tiger, bull and hammerhead» 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

detamodobjcaseamodnmodcaseamodnmodaclcasedetobladvmodcasedetoblpunctrootAscertainVERBtheDETapproximateADJnumberNOUNofADPunprovokedADJbitesNOUNonADPhumanADJbeingsNOUNattributedVERBtoADPallDETsharksNOUNannuallyADVthroughoutADPtheDETworldNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AscertainascertainVERBMood=Imp VerbForm=Finrootroot
2thetheDETDefinite=Def PronType=Art4 numberdet
3approximateapproximateADJDegree=Pos4 numberamod
4numbernumberNOUNNumber=Sing1 Ascertainobj
5ofofADP_7 bitescase
6unprovokedunprovokedADJDegree=Pos7 bitesamod
7bitesbiteNOUNNumber=Plur4 numbernmod
8ononADP_10 beingscase
9humanhumanADJDegree=Pos10 beingsamod
10beingsbeingNOUNNumber=Plur7 bitesnmod
11attributedattributeVERBTense=Past VerbForm=Part Voice=Pass10 beingsacl
12totoADP_14 sharkscase
13allallDETPronType=Tot14 sharksdet
14sharkssharkNOUNNumber=Plur11 attributedobl
15annuallyannuallyADV_11 attributedadvmod
16throughoutthroughoutADP_18 worldcase
17thetheDETDefinite=Def PronType=Art18 worlddet
18worldworldNOUNNumber=Sing11 attributedobl
19..PUNCT_1 Ascertainpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ascertainimperativeyou not said herethe approximate number of unprovoked bites on human beingsvn discover-84 «NP V NP»: agent=Agent number=Topic
2attributeparticiplehuman beings not said herethroughout the worldto all sharks; annually propertytree rules

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 seventy thousand

advmodcompoundrootApproximatelyADVseventyNUMthousandNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_3 thousandadvmod
2seventyseventyNUMNumForm=Word NumType=Card3 thousandcompound
3thousandthousandNUMNumForm=Word NumType=Cardrootroot

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

Option 2 · ✓ the right answer

Approximately seventy

advmodrootApproximatelyADVseventyNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_2 seventyadvmod
2seventyseventyNUMNumForm=Word NumType=Cardrootroot

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

Option 3

Approximately seven hundred thousand

advmodcompoundcompoundrootApproximatelyADVsevenNUMhundredNUMthousandNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_4 thousandadvmod
2sevensevenNUMNumForm=Word NumType=Card3 hundredcompound
3hundredhundredNUMNumForm=Word NumType=Card4 thousandcompound
4thousandthousandNUMNumForm=Word NumType=Cardrootroot

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

Option 4

Approximately seven thousand

advmodcompoundrootApproximatelyADVsevenNUMthousandNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ApproximatelyapproximatelyADV_3 thousandadvmod
2sevensevenNUMNumForm=Word NumType=Card3 thousandcompound
3thousandthousandNUMNumForm=Word NumType=Cardrootroot

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/310-sharks-by-kind-great-white-tiger-bull-and-hammerhead/e4/