--- title: Chi Hsiao Tang looked tenderly at her for a moment and then, with a… — Gleanings from Chinese folklore · tree and pragmatics description: Chi Hsiao Tang looked tenderly at her for a moment and then, with a great sigh, which showed that he too suffered at the parting, replied, “What I have said I have said! Who acts: Chi, great sigh, woman. A sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, A Chinese Tea-house Sto --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/tales/pg75089/10/80/) [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/) / [A Chinese Tea-house Story](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/10/) / 80 # Gleanings from Chinese folklore, A Chinese Tea-house Story, sentence 80 Chi Hsiao Tang looked tenderly at her for a moment and then, with a great sigh, which showed that he too suffered at the parting, replied, “What I have said I have said! **Who acts:** Chi, great sigh, woman · **What happens:** look, show, suffer, reply, say · **To what, where:** parting · **Speech:** someone speaks here This is a sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, A Chinese Tea-house Story. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Chi, great sigh, woman), 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:pg75089:10:80 # text = Chi Hsiao Tang looked tenderly at her for a moment and then, with a great sigh, which showed that he too suffered at the parting, replied, “What I have said I have said! 1 Chi Chi PROPN NNP Number=Sing 4 nsubj _ _ 2 Hsiao Hsiao PROPN NNP Number=Sing 1 flat _ _ 3 Tang Tang PROPN NNP Number=Sing 1 flat _ _ 4 looked look VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 5 tenderly tenderly ADJ JJ Degree=Pos 4 xcomp _ _ 6 at at ADP IN _ 7 case _ _ 7 her she PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs 4 obl _ _ 8 for for ADP IN _ 10 case _ _ 9 a a DET DT Definite=Ind|PronType=Art 10 det _ _ 10 moment moment NOUN NN Number=Sing 4 obl _ _ 11 and and CCONJ CC _ 17 cc _ _ 12 then then ADV RB PronType=Dem 17 advmod _ SpaceAfter=No 13 , , PUNCT , _ 17 punct _ _ 14 with with ADP IN _ 17 case _ _ 15 a a DET DT Definite=Ind|PronType=Art 17 det _ _ 16 great great ADJ JJ Degree=Pos 17 amod _ _ 17 sigh sigh NOUN NN Number=Sing 10 conj _ SpaceAfter=No 18 , , PUNCT , _ 20 punct _ _ 19 which which PRON WDT PronType=Rel 20 nsubj _ _ 20 showed show VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 17 acl:relcl _ _ 21 that that SCONJ IN _ 24 mark _ _ 22 he he PRON PRP Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs 24 nsubj _ _ 23 too too ADV RB _ 24 advmod _ _ 24 suffered suffer VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 20 ccomp _ _ 25 at at ADP IN _ 27 case _ _ 26 the the DET DT Definite=Def|PronType=Art 27 det _ _ 27 parting parting NOUN NN Number=Sing 24 obl _ SpaceAfter=No 28 , , PUNCT , _ 29 punct _ _ 29 replied reply VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 27 acl _ SpaceAfter=No 30 , , PUNCT , _ 35 punct _ _ 31 “ " PUNCT `` _ 35 punct _ SpaceAfter=No 32 What what PRON WP PronType=Int 35 obj _ _ 33 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 35 nsubj _ _ 34 have have AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 35 aux _ _ 35 said say VERB VBN Tense=Past|VerbForm=Part 24 parataxis _ _ 36 I I PRON PRP Case=Nom|Number=Sing|Person=1|PronType=Prs 38 nsubj _ _ 37 have have AUX VBP Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin 38 aux _ _ 38 said say VERB VBN Tense=Past|VerbForm=Part 35 conj _ SpaceAfter=No 39 ! ! PUNCT . _ 4 punct _ _ ``` ## Pragmatics {#pragmatics} | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **look** | past | Chi | | | | moment | at woman; tenderly *property* | vn peer-30.3 «NP V PP.theme»: agent=Agent at she=Theme | | 2 | **show** | past | a great sigh | | | | | | vn transfer\_mesg-37.1.1-1-1 «NP V how S»: agent=Agent clause=Topic | | 3 | **suffer** | past | Chi | | | the parting | | | vn admire-31.2 «NP V that S»: agent=Experiencer clause=Stimulus | | 4 | **reply** *speech: assert* | participle | | the parting *not said here* | | | | | vn respond-113 «NP V»: agent=Agent | | 5 | **say** *speech: assert* *in a quote* | present · perfect | woman | | | | | What *obj* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic | | 6 | **say** *speech: assert* *in a quote* | present · perfect | woman | | | | | | vn say-37.7-1-1 «NP V that S»: agent=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 79](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/10/79/) - next →: [sentence 81](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/10/81/) - ↑ back to [A Chinese Tea-house Story](https://md.mova.elamur.ai/free/en/corpora/tales/pg75089/10/)