--- title: Looking around she saw a big frog who looked very friendly, and to h… — Gleanings from Chinese folklore · tree and pragmatics description: Looking around she saw a big frog who looked very friendly, and to her she told all her troubles and said, “I know you like to do good deeds of mercy, so please help me.” Who acts: cat, big frog, you. A sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, How the Dog and Cat Came t --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/tales/pg75089/14/74/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [tales](https://md.mova.elamur.ai/free/en/corpora/tales/) / [Gleanings from Chinese folklore](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/) / [How the Dog and Cat Came to Be Enemies](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/14/) / 74 # Gleanings from Chinese folklore, How the Dog and Cat Came to Be Enemies, sentence 74 Looking around she saw a big frog who looked very friendly, and to her she told all her troubles and said, “I know you like to do good deeds of mercy, so please help me.” **Who acts:** cat, big frog, you · **What happens:** look around, see, look, tell, say, know · **To what, where:** big frog, troubles, cat, good deeds · **Speech:** someone speaks here 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 frog, you), 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 {#tree} ```conllu # sent_id = book:pg75089:14:74 # text = Looking around she saw a big frog who looked very friendly, and to her she told all her troubles and said, “I know you like to do good deeds of mercy, so please help me.” 1 Looking look VERB VBG Tense=Pres|VerbForm=Part 4 advcl _ _ 2 around around ADP IN _ 1 obl _ _ 3 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 4 nsubj _ _ 4 saw see VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 5 a a DET DT Definite=Ind|PronType=Art 7 det _ _ 6 big big ADJ JJ Degree=Pos 7 amod _ _ 7 frog frog NOUN NN Number=Sing 4 obj _ _ 8 who who PRON WP PronType=Rel 9 nsubj _ _ 9 looked look VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 7 acl:relcl _ _ 10 very very ADV RB _ 11 advmod _ _ 11 friendly friendly ADJ JJ Degree=Pos 9 xcomp _ SpaceAfter=No 12 , , PUNCT , _ 17 punct _ _ 13 and and CCONJ CC _ 17 cc _ _ 14 to to ADP IN _ 15 case _ _ 15 her she PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs 17 obl _ _ 16 she she PRON PRP Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs 17 nsubj _ _ 17 told tell VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 4 parataxis _ _ 18 all all DET PDT PronType=Tot 20 det:predet _ _ 19 her her PRON PRP$ Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs 20 nmod:poss _ _ 20 troubles trouble NOUN NNS Number=Plur 17 obj _ _ 21 and and CCONJ CC _ 22 cc _ _ 22 said say VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 17 conj _ SpaceAfter=No 23 , , PUNCT , _ 26 punct _ _ 24 “ " PUNCT `` _ 26 punct _ SpaceAfter=No 25 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 26 nsubj _ _ 26 know know VERB VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 22 ccomp _ _ 27 you you PRON PRP Case=Nom|Person=2|PronType=Prs 28 nsubj _ _ 28 like like VERB VBP Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin 26 ccomp _ _ 29 to to PART TO _ 30 mark _ _ 30 do do VERB VB VerbForm=Inf 28 xcomp _ _ 31 good good ADJ JJ Degree=Pos 32 amod _ _ 32 deeds deed NOUN NNS Number=Plur 30 obj _ _ 33 of of ADP IN _ 34 case _ _ 34 mercy mercy NOUN NN Number=Sing 32 nmod _ SpaceAfter=No 35 , , PUNCT , _ 38 punct _ _ 36 so so ADV RB _ 38 advmod _ _ 37 please please INTJ UH _ 38 discourse _ _ 38 help help VERB VB VerbForm=Inf 4 ccomp _ _ 39 me I PRON PRP Case=Acc|Number=Sing|Person=1|PronType=Prs 38 obj _ SpaceAfter=No 40 . . PUNCT . _ 38 punct _ SpaceAfter=No 41 ” " PUNCT '' _ 38 punct _ _ ``` ## Pragmatics {#pragmatics} | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **look around** | gerund | cat *not said here* | | | | | | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus | | 2 | **see** | past | cat | a big frog | | | | | tree rules | | 3 | **look** | past | a big frog | | | | | friendly *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus | | 4 | **tell** *speech: assert* | past | cat | cat's troubles | cat | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP PP.recipient»: agent=Agent trouble=Topic to she=Recipient | | 5 | **say** *speech: assert* | past | cat *not said here* | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 6 | **know** *in a quote* | present | cat | | | | | | vn comprehend-87.2-1-1-1 «NP V S\_ING»: agent=Experiencer clause=Stimulus | | 7 | **like** *in a quote* | present | you | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme | | 8 | **do** *not said to happen, in a quote* | to-infinitive | you *not said here* | good deeds of mercy | | | | | vn act-114-1 «NP V NP»: agent=Agent deed=Eventuality | | 9 | **help** *in a quote* | infinitive | | | cat | | | | vn help-72.1-1-1 «NP V NP»: agent=Agent i=Beneficiary | | 10 | **trouble** | | cat | | | | | | nom trouble «cognition transitive»: poss=agent | 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. - ← previous: [sentence 73](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/14/73/) - next →: [sentence 75](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/14/75/) - ↑ back to [How the Dog and Cat Came to Be Enemies](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/14/)