--- title: Your cousin in London goes, "Je ai a chien, bare short innit." Fix t… — Avoir: to have · tree and pragmatics description: Your cousin in London goes, "Je ai a chien, bare short innit." Fix the whole thing. Test 2 of lesson 29 «Avoir: to have» of the French course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/french/29-avoir-to-have/t2/) [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/) / [French](https://md.mova.elamur.ai/free/en/corpora/questions/french/) / [Avoir: to have](https://md.mova.elamur.ai/free/en/corpora/questions/french/29-avoir-to-have/) / t2 # Test 2 · Avoir: to have Your cousin in London goes, "Je ai a chien, bare short innit." Fix the whole thing. **Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** cousin, you · **What happens:** go, fix · **To what, where:** whole thing This is test 2 of lesson 29 «Avoir: to have» of the French 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/french/29-avoir-to-have/#t2). ## The question {#question} *Sentence 1:* Your cousin in London goes, "Je ai a chien, bare short innit." ```conllu # sent_id = question:french:29-avoir-to-have:t2:1 # text = Your cousin in London goes, "Je ai a chien, bare short innit." 1 Your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 2 nmod:poss _ _ 2 cousin cousin NOUN NN Number=Sing 5 nsubj _ _ 3 in in ADP IN _ 4 case _ _ 4 London London PROPN NNP Number=Sing 2 nmod _ _ 5 goes go VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ SpaceAfter=No 6 , , PUNCT , _ 9 punct _ _ 7 " " PUNCT `` _ 9 punct _ SpaceAfter=No 8 Je Je PROPN NNP Number=Sing 9 nsubj _ _ 9 ai be AUX VBZ Mood=Ind|Number=Sing|Person=3|Style=Vrnc|Tense=Pres|VerbForm=Fin 5 conj _ _ 10 a a DET DT Definite=Ind|PronType=Art 11 det _ _ 11 chien chien NOUN NN Number=Sing 9 obj _ SpaceAfter=No 12 , , PUNCT , _ 15 punct _ _ 13 bare bare ADJ JJ Degree=Pos 15 amod _ _ 14 short short ADJ JJ Degree=Pos 15 amod _ _ 15 innit innit NOUN NN Number=Sing 11 conj _ SpaceAfter=No 16 . . PUNCT . _ 5 punct _ SpaceAfter=No 17 " " PUNCT '' _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **go** | present | Your cousin in London | | | | | | vn disappearance-48.2-1 «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:* Fix the whole thing. ```conllu # sent_id = question:french:29-avoir-to-have:t2:2 # text = Fix the whole thing. 1 Fix fix VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 4 det _ _ 3 whole whole ADJ JJ Degree=Pos 4 amod _ _ 4 thing thing NOUN NN Number=Sing 1 obj _ SpaceAfter=No 5 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **fix** | imperative | you *not said here* | the whole thing | | | | | vn shake-22.3-2 «NP V NP together»: agent=Agent thing=Patient | ## The options {#options} ### Option 1 · ← Mova's choice · ✓ the right answer {#o1} J'ai un chien ```conllu # sent_id = question:french:29-avoir-to-have:t2:o1:1 # text = J'ai un chien 1 J'ai J'ai PROPN NNP Number=Sing 2 compound _ _ 2 un un NOUN NN Number=Sing 3 compound _ _ 3 chien chien NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} Je ai un chien ```conllu # sent_id = question:french:29-avoir-to-have:t2:o2:1 # text = Je ai un chien 1 Je Je X FW Foreign=Yes 4 dep _ _ 2 ai ai X FW Foreign=Yes 1 flat:foreign _ _ 3 un un NOUN NN Number=Sing 4 compound _ _ 4 chien chien NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Je a un chien ```conllu # sent_id = question:french:29-avoir-to-have:t2:o3:1 # text = Je a un chien 1 Je Je X FW Foreign=Yes 0 root _ _ 2 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 3 un un NOUN NN Number=Sing 4 compound _ _ 4 chien chien NOUN NN Number=Sing 1 appos _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} J'ai a chien ```conllu # sent_id = question:french:29-avoir-to-have:t2:o4:1 # text = J'ai a chien 1 J'ai J'ai X FW Foreign=Yes 3 dep _ _ 2 a a DET DT Definite=Ind|PronType=Art 3 det _ _ 3 chien chien NOUN NN Number=Sing 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: [Avoir: to have, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/french/29-avoir-to-have/t1/) - next →: [Avoir: to have, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/french/29-avoir-to-have/t3/) - ↑ back to [Avoir: to have](https://md.mova.elamur.ai/free/en/corpora/questions/french/29-avoir-to-have/)