Gleanings from Chinese folklore, How the Dog and Cat Came to Be Enemies, sentence 59
After a time she spied a rathole, and going over to it she waited patiently till a big mouse came out; then she sprang upon it and held it fast.
Who acts: cat, big mouse · What happens: spy, go over, wait, come out, spring, hold · To what, where: rathole, mouse
This is a sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, How the Dog and Cat Came to Be Enemies. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (cat, big mouse), what happens, when and where, as Mova's frames read it from the tree.
Mova's own parse. This tree may be wrong.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | After | after | ADP | _ | 3 time | case |
| 2 | a | a | DET | Definite=Ind PronType=Art | 3 time | det |
| 3 | time | time | NOUN | Number=Sing | 5 spied | obl |
| 4 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 5 spied | nsubj |
| 5 | spied | spy | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 6 | a | a | DET | Definite=Ind PronType=Art | 7 rathole | det |
| 7 | rathole | rathole | NOUN | Number=Sing | 5 spied | obj |
| 8 | , | , | PUNCT | _ | 15 waited | punct |
| 9 | and | and | CCONJ | _ | 15 waited | cc |
| 10 | going | go | VERB | Tense=Pres VerbForm=Part | 15 waited | advcl |
| 11 | over | over | ADV | _ | 10 going | advmod |
| 12 | to | to | ADP | _ | 13 it | case |
| 13 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 10 going | obl |
| 14 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 15 waited | nsubj |
| 15 | waited | wait | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 5 spied | conj |
| 16 | patiently | patiently | ADV | _ | 15 waited | advmod |
| 17 | till | till | SCONJ | _ | 21 came | mark |
| 18 | a | a | DET | Definite=Ind PronType=Art | 20 mouse | det |
| 19 | big | big | ADJ | Degree=Pos | 20 mouse | amod |
| 20 | mouse | mouse | NOUN | Number=Sing | 21 came | nsubj |
| 21 | came | come | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 15 waited | advcl |
| 22 | out | out | ADV | _ | 21 came | advmod |
| 23 | ; | ; | PUNCT | _ | 26 sprang | punct |
| 24 | then | then | ADV | PronType=Dem | 26 sprang | advmod |
| 25 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 26 sprang | nsubj |
| 26 | sprang | spring | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 5 spied | parataxis |
| 27 | upon | upon | ADP | _ | 28 it | case |
| 28 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 26 sprang | obl |
| 29 | and | and | CCONJ | _ | 30 held | cc |
| 30 | held | hold | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 26 sprang | conj |
| 31 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 30 held | obj |
| 32 | fast | fast | ADV | Degree=Pos | 30 held | advmod |
| 33 | . | . | PUNCT | _ | 5 spied | punct |
Pragmatics
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | spy | past | cat | a rathole | time | vn sight-30.2 «NP V NP»: agent=Experiencer rathole=Stimulus | |||
| 2 | go over | gerund | cat not said here | rathole | over property | vn occur-48.3-2 «NP V ADV»: agent=Theme | |||
| 3 | wait | past | cat | patiently property | vn exist-47.1 «NP V»: agent=Theme | ||||
| 4 | come out | past | a big mouse | out property | vn become-109.1 «NP V ADJ»: agent=Patient | ||||
| 5 | spring | past | cat | then | upon mouse | vn run-51.3.2 «NP V PP.location»: agent=Theme upon it=Trajectory | |||
| 6 | hold | past | cat not said here | mouse | fast property | vn keep-15.2 «NP V NP»: agent=Agent it=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.
Text: «Gleanings from Chinese folklore» by Nellie Naomi Russell, Project Gutenberg book 75089 (public domain in the USA). Tree: Mova's own parse, Elamur Cosmic License. Frames: Mova's frames reader (prag), the chapter read in order.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/14/59/