Files
Hankan/tools/dict/freq-forms.mjs
MechaCat02 7bd8507909 feat(dict): build pipeline, grammar lexicon, and the shipped band files
Closes REVIEW.md §2. 167 of 371 roadmap words had no lexicon entry, so the
word rail silently showed nothing. Now:

  Roadmap words: 371/371 resolve
  Spiral targets: 35/35 resolve
  Deck words: 386/386 resolve

and npm run dict:assert makes it a blocking build failure, not a silent
empty rail.

No runtime morphological analyser ships. lib/conjugation.js surfaceForms()
runs at BUILD time over every verb and adjective, so looking up a conjugated
form is an index hit on the surface table.

The frequency join had to be inverted. A subtitle frequency list holds
surface forms; a dictionary holds lemmas whose -다 citation form barely
occurs in running text, so joining on headword gives verbs a frequency of
roughly zero. Expanding each lemma into the forms it plausibly takes and
summing recovers 하다 from 118 to 89,041. Forms claimed by more than one
lemma are dropped rather than split, so homographs don't inherit each
other's mass. Those expansions score frequency only — the surface table
itself stays strictly surfaceForms() output plus the headword.

Bands are one per curriculum phase. Phase 1 admits no frequency band at
all: during the writing-system phase every word must be phonologically
legal for the unit reached, and a rank ceiling would hand the learner a
겹받침 during unit 1.4. shared/phonology.mjs lifts validate.mjs's own
feature ladder to enforce that; it agrees with the validator on all 371
words.

Sources are chosen automatically — KRDICT when vendored, otherwise the
kaikki.org extract. KRDICT's download is a JS form behind anti-bot
protection, so it cannot be fetched by CI; the derived band files are
committed instead, which the app needs offline regardless. Attribution and
the share-alike terms are in NOTICE.md.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-08 19:13:15 +02:00

196 lines
6.3 KiB
JavaScript

/* Recovering lemma frequency from a surface-form frequency list.
THE PROBLEM
The frequency list is Korean as it is actually written; a dictionary is
keyed on lemmas. Korean is agglutinative with obligatory particles, and
the verb citation form (-다) essentially never occurs in running text. So
joining `frequency.word = lemma.headword` would:
- give ZERO frequency to every verb and adjective, the most important
class in a learner dictionary, because the citation form barely
appears while its mass is spread across a dozen inflected forms;
- understate every noun, whose count is split across the bare form and
each of its particle-attached forms.
THE FIX
Invert the join. Expand each lemma into the surface forms it plausibly
takes, then SUM the counts over them. No runtime analyser and no
build-image dependency — just the rules, applied at build time.
Two honest limitations, both of which cost recall and not correctness:
- the generated endings are regular, so an irregular stem produces some
forms that do not exist. A form that is not real simply matches
nothing in the frequency list.
- a form claimed by more than one lemma is DROPPED rather than split,
so homographs do not inherit each other's mass. Dropping is the
conservative choice.
These forms are for FREQUENCY SCORING ONLY. The `surface` table the app
actually queries is populated strictly from lib/conjugation.js
surfaceForms() plus the headword — see build.mjs. */
import { surfaceForms, haeche, past, polite } from "../../lib/conjugation.js";
/** True when the word ends in a consonant. Pure arithmetic on the syllable. */
export function hasBatchim(word) {
const cp = word.codePointAt(word.length - 1);
if (cp === undefined) return false;
const i = cp - 0xac00;
return i >= 0 && i <= 11171 && i % 28 !== 0;
}
/** Particles that attach to a noun; allomorph chosen by the final consonant. */
const NOUN_PARTICLES = [
["이", "가"], // subject
["을", "를"], // object
["은", "는"], // topic
["과", "와"], // and / with
["이나", "나"], // or
["이랑", "랑"], // and, casual
["으로", "로"], // direction / means
["아", "야"], // vocative
];
/** Particles with a single form, whatever the stem ends in. */
const INVARIANT_PARTICLES = [
"에", // 에
"에서", // 에서
"도", // 도
"의", // 의
"만", // 만
"까지", // 까지
"부터", // 부터
"처럼", // 처럼
"보다", // 보다
"한테", // 한테
"에게", // 에게
"께", // 께
"마다", // 마다
];
/** Endings attached straight to a stem. Regular forms only. */
const STEM_ENDINGS = [
"고", // 고
"지", // 지
"다가", // 다가
"면서", // 면서
"네", // 네
"자", // 자
"는", // 는, adnominal present
];
/** Endings whose shape depends on whether the stem has a final consonant. */
const STEM_ENDINGS_BATCHIM = [
["은", "ㄴ"], // 은 / ㄴ adnominal past, adjectival
["을", "ㄹ"], // 을 / ㄹ adnominal prospective
["으면", "면"], // 으면 / 면
["으니까", "니까"], // 으니까 / 니까
["습니다", "ㅂ니다"], // 습니다 / ㅂ니다
["는다", "ㄴ다"], // 는다 / ㄴ다
];
const JONG = " ㄱㄲㄳㄴㄵㄶㄷㄹㄺㄻㄼㄽㄾㄿㅀㅁㅂㅄㅅㅆㅇㅈㅊㅋㅌㅍㅎ";
/** Glue a bare-jamo ending onto an open syllable, so the two become one block. */
function fuseFinal(stem, ending) {
const idx = JONG.indexOf(ending[0]);
if (idx <= 0) return stem + ending;
const cp = stem.codePointAt(stem.length - 1);
const i = cp - 0xac00;
if (i < 0 || i > 11171 || i % 28 !== 0) return stem + ending; // needs an open syllable
return stem.slice(0, -1) + String.fromCodePoint(0xac00 + i + idx) + ending.slice(1);
}
const DICT_SUFFIX = "다"; // 다
/**
* Every surface form this lemma plausibly takes, for summing frequency.
* Deliberately over-generates: a form that does not exist matches nothing.
*/
export function frequencyForms(headword, pos) {
const forms = new Set([headword]);
if (pos === "verb" || pos === "adj") {
// The real, tested generator first.
for (const s of surfaceForms(headword, "")) forms.add(s.form);
const present = haeche(headword);
if (present) {
forms.add(present);
forms.add(polite(present));
const p = past(present);
if (p) {
forms.add(p);
forms.add(polite(p));
}
}
if (headword.endsWith(DICT_SUFFIX)) {
const stem = headword.slice(0, -1);
if (stem) {
for (const e of STEM_ENDINGS) forms.add(stem + e);
const batchim = hasBatchim(stem);
for (const [withB, withoutB] of STEM_ENDINGS_BATCHIM) {
forms.add(batchim ? stem + withB : fuseFinal(stem, withoutB));
}
}
}
return forms;
}
// Nouns, pronouns, numerals, counters and determiners take particles.
if (["noun", "pron", "num", "counter", "det"].includes(pos)) {
const batchim = hasBatchim(headword);
for (const [withB, withoutB] of NOUN_PARTICLES) {
forms.add(headword + (batchim ? withB : withoutB));
}
for (const p of INVARIANT_PARTICLES) forms.add(headword + p);
}
return forms;
}
/**
* Rank every headword by summed frequency.
*
* @param entries [{ headword, pos }]
* @param counts Map<surfaceForm, count> from the frequency list
* @returns Map<"headword pos", rank> — rank 1 is the most frequent
*/
export function rankByFrequency(entries, counts) {
const claims = new Map(); // form -> the lemmas that generated it
const formsOf = new Map();
for (const e of entries) {
const key = `${e.headword} ${e.pos}`;
if (formsOf.has(key)) continue;
const forms = frequencyForms(e.headword, e.pos);
formsOf.set(key, forms);
for (const f of forms) {
let owners = claims.get(f);
if (!owners) claims.set(f, (owners = new Set()));
owners.add(key);
}
}
const totals = [];
for (const [key, forms] of formsOf) {
let total = 0;
for (const f of forms) {
const n = counts.get(f);
if (!n) continue;
// Ambiguous forms are dropped, not split — see the header.
if (claims.get(f).size > 1) continue;
total += n;
}
if (total > 0) totals.push([key, total]);
}
totals.sort((a, b) => b[1] - a[1]);
const ranks = new Map();
totals.forEach(([key], i) => ranks.set(key, i + 1));
return ranks;
}