How would we know? Asking experts and spotting tricks, sentence 11
Large studies found MSG (a powder added to food to make it taste savoury) safe for most people in normal amounts; tomatoes and cheese have natural glutamate too, and old fears about it were partly mixed with unfair attitudes to Chinese food.
Who acts: Large studies, MSG, tomatoes · What happens: find, add, make, taste, have, mix · To what, where: MSG, powder, natural glutamate, old fears
This is a sentence of the lesson «How would we know? Asking experts and spotting tricks» of the myths course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Large studies, MSG, tomatoes), what happens, when and where, as Mova's frames read it from the tree.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Large | large | ADJ | Degree=Pos | 2 studies | amod |
| 2 | studies | study | NOUN | Number=Plur | 3 found | nsubj |
| 3 | found | find | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | root | root |
| 4 | MSG | msg | NOUN | Number=Sing | 3 found | obj |
| 5 | ( | ( | PUNCT | _ | 7 powder | punct |
| 6 | a | a | DET | Definite=Ind PronType=Art | 7 powder | det |
| 7 | powder | powder | NOUN | Number=Sing | 4 MSG | appos |
| 8 | added | add | VERB | Tense=Past VerbForm=Part Voice=Pass | 7 powder | acl |
| 9 | to | to | ADP | _ | 10 food | case |
| 10 | food | food | NOUN | Number=Sing | 8 added | obl |
| 11 | to | to | PART | _ | 12 make | mark |
| 12 | make | make | VERB | VerbForm=Inf | 8 added | advcl |
| 13 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 12 make | obj |
| 14 | taste | taste | VERB | VerbForm=Inf | 12 make | xcomp |
| 15 | savoury | savoury | ADJ | Degree=Pos | 14 taste | xcomp |
| 16 | ) | ) | PUNCT | _ | 7 powder | punct |
| 17 | safe | safe | ADJ | Degree=Pos | 3 found | xcomp |
| 18 | for | for | ADP | _ | 20 people | case |
| 19 | most | most | ADJ | Degree=Sup | 20 people | amod |
| 20 | people | people | NOUN | Number=Plur | 17 safe | obl |
| 21 | in | in | ADP | _ | 23 amounts | case |
| 22 | normal | normal | ADJ | Degree=Pos | 23 amounts | amod |
| 23 | amounts | amount | NOUN | Number=Plur | 17 safe | obl |
| 24 | ; | ; | PUNCT | _ | 25 tomatoes | punct |
| 25 | tomatoes | tomato | NOUN | Number=Plur | 28 have | nsubj |
| 26 | and | and | CCONJ | _ | 27 cheese | cc |
| 27 | cheese | cheese | NOUN | Number=Sing | 25 tomatoes | conj |
| 28 | have | have | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 3 found | parataxis |
| 29 | natural | natural | ADJ | Degree=Pos | 30 glutamate | amod |
| 30 | glutamate | glutamate | NOUN | Number=Sing | 28 have | obj |
| 31 | too | too | ADV | _ | 28 have | advmod |
| 32 | , | , | PUNCT | _ | 40 mixed | punct |
| 33 | and | and | CCONJ | _ | 35 fears | cc |
| 34 | old | old | ADJ | Degree=Pos | 35 fears | amod |
| 35 | fears | fear | NOUN | Number=Plur | 40 mixed | nsubj:pass |
| 36 | about | about | ADP | _ | 37 it | case |
| 37 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 35 fears | nmod |
| 38 | were | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 40 mixed | aux:pass |
| 39 | partly | partly | ADV | _ | 40 mixed | advmod |
| 40 | mixed | mix | VERB | Tense=Past VerbForm=Part Voice=Pass | 28 have | conj |
| 41 | with | with | ADP | _ | 43 attitudes | case |
| 42 | unfair | unfair | ADJ | Degree=Pos | 43 attitudes | amod |
| 43 | attitudes | attitude | NOUN | Number=Plur | 40 mixed | obl |
| 44 | to | to | ADP | _ | 46 food | case |
| 45 | Chinese | Chinese | ADJ | Degree=Pos | 46 food | amod |
| 46 | food | food | NOUN | Number=Sing | 43 attitudes | nmod |
| 47 | . | . | PUNCT | _ | 3 found | punct |
Pragmatics
- form
- statement
- act
- assert
- voice
- narrator
- polarity
- none
- teacher
- kept the draft
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | find | past | Large studies | MSG | safe property | vn discover-84 «NP V NP»: agent=Agent msg=Topic | |||
| 2 | add speech: assert | participle | a powder not said here | to food | vn mix-22.1-2 «NP V ADVP-Middle PP»: agent=Patient to food=Co-Patient | ||||
| 3 | make | to-infinitive | MSG | tree rules | |||||
| 4 | taste | infinitive | MSG not said here | savoury property | vn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus | ||||
| 5 | have | present | tomatoes and cheese | natural glutamate | vn birth-28.2-1 «NP V NP»: agent=Agent glutamate=Patient | ||||
| 6 | mix | past · passive | old fears about food | with unfair attitudes to Chinese food; partly property | vn mix-22.1-1-1 «NP V NP PP.co-patient»: subject=Patient with attitude=Co-Patient |
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.
Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:myths:030-how-would-we-know-asking-experts-and-spotting-tricks.lesson:11.
The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×1. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.
See the release 0.4.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/myths/30-how-would-we-know-asking-experts-and-spotting-tricks/11/