--- title: A guide's torch shows 7 pairs of glowing red eyes, sorry, 8 pairs. H… — Amazon giants and tall tales: anaconda… · tree and pragmatics description: A guide's torch shows 7 pairs of glowing red eyes, sorry, 8 pairs. How many caimans probably? Test 4 · ★★ of lesson 158 «Amazon giants and tall tales: anacondas, caimans, electric eels and the candiru» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the que --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/158-amazon-giants-and-tall-tales/t4/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/questions/biology/) / [Amazon giants and tall tales: anaconda…](https://md.mova.elamur.ai/free/en/corpora/questions/biology/158-amazon-giants-and-tall-tales/) / t4 # Test 4 · ★★ · Amazon giants and tall tales: anacondas, caimans, electric… A guide's torch shows 7 pairs of glowing red eyes, sorry, 8 pairs. How many caimans probably? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** torch · **What happens:** show, glow · **To what, where:** 7 pairs This is test 4 · ★★ of lesson 158 «Amazon giants and tall tales: anacondas, caimans, electric eels and the candiru» of the biology 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/biology/158-amazon-giants-and-tall-tales/#t4). ## The question {#question} *Sentence 1:* A guide's torch shows 7 pairs of glowing red eyes, sorry, 8 pairs. ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:1 # text = A guide's torch shows 7 pairs of glowing red eyes, sorry, 8 pairs. 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 guide guide NOUN NN Number=Sing 4 nmod:poss _ SpaceAfter=No 3 's 's PART POS _ 2 case _ _ 4 torch torch NOUN NN Number=Sing 5 nsubj _ _ 5 shows show VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 6 7 7 NUM CD NumForm=Digit|NumType=Card 7 nummod _ _ 7 pairs pair NOUN NNS Number=Plur 5 obj _ _ 8 of of ADP IN _ 11 case _ _ 9 glowing glow VERB VBG VerbForm=Ger 11 amod _ _ 10 red red ADJ JJ Degree=Pos 11 amod _ _ 11 eyes eye NOUN NNS Number=Plur 7 nmod _ SpaceAfter=No 12 , , PUNCT , _ 13 punct _ _ 13 sorry sorry INTJ UH _ 5 discourse _ SpaceAfter=No 14 , , PUNCT , _ 16 punct _ _ 15 8 8 NUM CD NumForm=Digit|NumType=Card 16 nummod _ _ 16 pairs pair NOUN NNS Number=Plur 5 obl _ SpaceAfter=No 17 . . PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **show** | present | a guide's torch | 7 pairs of glowing red eyes | | | | 8 pairs *obl* | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent pair=Recipient | | 2 | **glow** | gerund | | | | | | | vn light\_emission-43.1 «NP V»: agent=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. *Sentence 2:* How many caimans probably? ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:2 # text = How many caimans probably? 1 How how ADV WRB PronType=Int 2 advmod _ _ 2 many many ADJ JJ Degree=Pos 3 amod _ _ 3 caimans caiman NOUN NNS Number=Plur 0 root _ _ 4 probably probably ADV RB _ 3 advmod _ SpaceAfter=No 5 ? ? PUNCT . _ 3 punct _ _ ``` The frames reader finds no event or fact in this sentence. ## The options {#options} ### Option 1 · ← Mova's choice {#o1} 16 ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:o1:1 # text = 16 1 16 16 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} 14 ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:o2:1 # text = 14 1 14 14 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} 8 ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:o3:1 # text = 8 1 8 8 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} 7 ```conllu # sent_id = question:biology:158-amazon-giants-and-tall-tales:t4:o4:1 # text = 7 1 7 7 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` 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. - ← previous: [Amazon giants and tall tales: anaconda…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/biology/158-amazon-giants-and-tall-tales/t3/) - next →: [Amazon giants and tall tales: anaconda…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/biology/158-amazon-giants-and-tall-tales/t5/) - ↑ back to [Amazon giants and tall tales: anacondas, caimans, electric eels and the candiru](https://md.mova.elamur.ai/free/en/corpora/questions/biology/158-amazon-giants-and-tall-tales/)