# nv-nlp-parse-stanza > nv-nlp-parse-stanza =============== - nv-nlp-parse-stanza - util for parse the rslt returned from stanza server (stanfordnlp) - nvlang has a chinese-DSL mode, this is for testing generate js-code from chinese-sentences in nvlang, normally USELESS - i Latest version **1.0.2** (published 2022-11-21) · ISC license · 0 weekly downloads ## Install ```sh npm install nv-nlp-parse-stanza pnpm add nv-nlp-parse-stanza yarn add nv-nlp-parse-stanza bun add nv-nlp-parse-stanza ``` ## Health **Score 15/100 (F)** — status: abandoned. Positive: no vulnerabilities. Warnings: low downloads; no types; no esm support. Negative: abandoned; low maintenance score. ## Facts | | | |---|---| | Version | 1.0.2 | | Published | 2022-11-21 | | First published | 2022-11-21 | | Weekly downloads | 0 | | License | ISC | | TypeScript types | none | | Module format | CommonJS | | Dependencies | 1 | | Unpacked size | 13.4 KB | | Known vulnerabilities | 0 | | Install scripts | no | | Maintainers | ihgazni2 | ## Links - npm: https://www.npmjs.com/package/nv-nlp-parse-stanza - npm.io page: https://npm.io/package/nv-nlp-parse-stanza ## Dependencies (1) - [nv-data-tree-csp-jconvert](https://npm.io/package/nv-data-tree-csp-jconvert.md) ^1.0.8 ## Recent versions - 1.0.2 (latest) — 2022-11-21 - 1.0.1 — 2022-11-21 ## README nv-nlp-parse-stanza =============== - nv-nlp-parse-stanza - util for parse the rslt returned from stanza server (stanfordnlp) - nvlang has a chinese-DSL mode, this is for testing generate js-code from chinese-sentences in nvlang, normally USELESS - in the chinese-DSL mode ,customer will input a chinese-sentence, after handled by stanza, stanza will return the constituency(its s-expression) - nvlang will based on the shapes to find a matched function-shape install ======= - npm install nv-nlp-parse-stanza usage ===== const {parse} = require("nv-nlp-parse-stanza"); example ------- var d = { text: '所以我们自然就想到了 Python 中的异步框架', sentiment: null, words: [ { id: 1, text: '所以', upos: 'ADV', xpos: 'RB', start_char: 0, end_char: 2 }, { id: 2, text: '我们', upos: 'PRON', xpos: 'PRP', feats: 'Number=Plur|Person=1', start_char: 2, end_char: 4 }, { id: 3, text: '自然', upos: 'ADV', xpos: 'RB', start_char: 4, end_char: 6 }, { id: 4, text: '就', upos: 'ADV', xpos: 'RB', start_char: 6, end_char: 7 }, { id: 5, text: '想到', upos: 'VERB', xpos: 'VV', start_char: 7, end_char: 9 }, { id: 6, text: '了', upos: 'AUX', xpos: 'AS', feats: 'Aspect=Perf', start_char: 9, end_char: 10 }, { id: 7, text: 'Python', upos: 'X', xpos: 'FW', start_char: 11, end_char: 17 }, { id: 8, text: '中', upos: 'ADP', xpos: 'IN', start_char: 18, end_char: 19 }, { id: 9, text: '的', upos: 'PART', xpos: 'DEC', feats: 'Case=Gen', start_char: 19, end_char: 20 }, { id: 10, text: '异步', upos: 'ADJ', xpos: 'JJ', start_char: 20, end_char: 22 }, { id: 11, text: '框架', upos: 'NOUN', xpos: 'NN', start_char: 22, end_char: 24 } ], entities: [], constituency: { cnt: 36, structure: [ 'ROOT', [ [ 'IP', [ [ 'ADVP', [ [ 'RB', [ [ '所以', [] ] ] ] ] ], [ 'NP', [ [ 'PRP', [ [ '我们', [] ] ] ] ] ], [ 'VP', [ [ 'ADVP', [ [ 'RB', [ [ '自然', [] ] ] ] ] ], [ 'ADVP', [ [ 'RB', [ [ '就', [] ] ] ] ] ], [ 'VP', [ [ 'VV', [ [ '想到', [] ] ] ], [ 'AS', [ [ '了', [] ] ] ], [ 'NP', [ [ 'DNP', [ [ 'LCP', [ [ 'NP', [ [ 'FW', [ [ 'Python', [] ] ] ] ] ], [ 'IN', [ [ '中', [] ] ] ] ] ], [ 'DEC', [ [ '的', [] ] ] ] ] ], [ 'ADJP', [ [ 'JJ', [ [ '异步', [] ] ] ] ] ], [ 'NP', [ [ 'NN', [ [ '框架', [] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] } } r = parse(d) /* { text: '所以我们自然就想到了 Python 中的异步框架', sentiment: null, words: [ { text: '所以', upos: 'ADV', xpos: 'RB', feats: null }, { text: '我们', upos: 'PRON', xpos: 'PRP', feats: 'Number=Plur|Person=1' }, { text: '自然', upos: 'ADV', xpos: 'RB', feats: null }, { text: '就', upos: 'ADV', xpos: 'RB', feats: null }, { text: '想到', upos: 'VERB', xpos: 'VV', feats: null }, { text: '了', upos: 'AUX', xpos: 'AS', feats: 'Aspect=Perf' }, { text: 'Python', upos: 'X', xpos: 'FW', feats: null }, { text: '中', upos: 'ADP', xpos: 'IN', feats: null }, { text: '的', upos: 'PART', xpos: 'DEC', feats: 'Case=Gen' }, { text: '异步', upos: 'ADJ', xpos: 'JJ', feats: null }, { text: '框架', upos: 'NOUN', xpos: 'NN', feats: null } ], entities: [], constituency: { brief: { texts: [Array], tblocs: [Array], shapes: [Array] }, detail: { texts: [Array], tblocs: [Array], shapes: [Array] } } } > */ /* > r.constituency.brief { texts: [ '所以我们自然就想到了Python中的异步框架', '所以', '我们', '自然就想到了Python中的异步框架', '自然', '就', '想到了Python中的异步框架', '想到', '了', 'Python中的异步框架', 'Python中的', 'Python中', 'Python', '中', '的', '异步', '框架' ], tblocs: [ '(((所以))((我们))(((自然))((就))((想到)(了)(((((Python))(中))(的))((异步))((框架))))))', '((所以))', '((我们))', '(((自然))((就))((想到)(了)(((((Python))(中))(的))((异步))((框架)))))', '((自然))', '((就))', '((想到)(了)(((((Python))(中))(的))((异步))((框架))))', '(想到)', '(了)', '(((((Python))(中))(的))((异步))((框架)))', '((((Python))(中))(的))', '(((Python))(中))', '((Python))', '(中)', '(的)', '((异步))', '((框架))' ], shapes: [ 'IP(ADVP(RB())NP(PRP())VP(ADVP(RB())ADVP(RB())VP(VV()AS()NP(DNP(LCP(NP(FW())IN())DEC())ADJP(JJ())NP(NN())))))', 'ADVP(RB())', 'NP(PRP())', 'VP(ADVP(RB())ADVP(RB())VP(VV()AS()NP(DNP(LCP(NP(FW())IN())DEC())ADJP(JJ())NP(NN()))))', 'ADVP(RB())', 'ADVP(RB())', 'VP(VV()AS()NP(DNP(LCP(NP(FW())IN())DEC())ADJP(JJ())NP(NN())))', 'VV()', 'AS()', 'NP(DNP(LCP(NP(FW())IN())DEC())ADJP(JJ())NP(NN()))', 'DNP(LCP(NP(FW())IN())DEC())', 'LCP(NP(FW())IN())', 'NP(FW())', 'IN()', 'DEC()', 'ADJP(JJ())', 'NP(NN())' ] } > */ METHODS ======= API ==== { parse_words, parse_constituency, parse } LICENSE ======= - ISC --- _Source: https://npm.io/package/nv-nlp-parse-stanza · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._