Files
2026-07-13 12:48:55 +08:00

41 lines
1.1 KiB
JavaScript

/* eslint-disable no-console*/
import corpus from 'nlp-corpus'
import nlp from '../../../src/three.js'
import plugin from '../src/plugin.js'
nlp.extend(plugin)
const n = 30000
console.log(` -- processing ${n.toLocaleString()} sentences-`)
const docs = corpus.all().slice(30000, n + 30000)
const percent = (part, total) => {
let num = (part / total) * 100;
num = Math.round(num * 10) / 10;
return num;
};
let found = {}
let matches = 0
docs.forEach(str => {
const doc = nlp(str)
const res = doc.dates().json({ normal: true })
res.forEach(o => {
console.log(o.normal)
found[o.normal] = found[o.normal] || 0
found[o.normal] += 1
matches += 1
if (o.normal === 'at some' || o.normal === "or" || o.normal === "but" || o.normal === "to") {
console.log(' =-=-=-=-\n\n ', str)
}
})
})
// sort by freq
found = Object.keys(found).map(k => [k, found[k]])
found = found.sort((a, b) => (a[1] > b[1] ? -1 : 0))
found = found.slice(0, 400)
console.log(JSON.stringify(found, null, 2))
console.log(`found ${matches.toLocaleString()} matches in ${n} sentences`)
console.log(percent(matches, n) + '%')