Initial import
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+node_modules/
+bin/linux/
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+coverage/
diff --git a/Readme.md b/Readme.md
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+# conllu-gender
+
+Reads CoNLL-U format from stdin and annotates German gender-sensitive personal nouns, gendered determiners/pronouns, and neo-pronouns with correct **POS** (UPOS and XPOS/STTS), **lemma**, and **morphological features**. Writes CoNLL-U format to stdout.
+
+Existing annotations for matched tokens are **replaced**; all other tokens pass through unchanged.
+
+## Background
+
+Based on the morphosyntactic analysis in:
+
+> Ochs, S. (2026). Die morphosyntaktische Integration neuer Gendersuffixe: Eine korpusbasierte Analyse deutschsprachiger Pressetexte. *Gender Linguistics*, 2. doi: [10.65020/0619d927](https://doi.org/10.65020/0619d927)
+
+The tool covers all six gender-marker types distinguished by Ochs & Rüdiger (2025):
+
+| Type | Examples | Intent | `Gender` feature |
+|---|---|---|---|
+| Genderstern `*` | `Lehrer*in`, `Bürger*innen` | non-binary | `NonBin` |
+| Doppelpunkt `:` | `Lehrer:in`, `Bürger:innen` | non-binary | `NonBin` |
+| Unterstrich `_` | `Lehrer_in`, `Bürger_innen` | non-binary | `NonBin` |
+| Binnen-I `I` | `LehrerIn`, `LehrerInnen` | binary | `Masc,Fem` |
+| Klammern `()` | `Lehrer(in)`, `Lehrer(innen)` | binary | `Masc,Fem` |
+| Schrägstrich `/` | `Lehrer/in`, `Lehrer/-innen` | binary | `Masc,Fem` |
+
+## Annotation
+
+### Nouns (`NOUN` / `NN`)
+
+| Surface form | Lemma | FEATS |
+|---|---|---|
+| `Lehrer*in` | `Lehrer*in` | `Gender=NonBin\|Number=Sing` |
+| `Lehrer*innen` | `Lehrer*in` | `Gender=NonBin\|Number=Plur` |
+| `Lehrer:in` | `Lehrer:in` | `Gender=NonBin\|Number=Sing` |
+| `Lehrer:innen` | `Lehrer:in` | `Gender=NonBin\|Number=Plur` |
+| `Lehrer_in` | `Lehrer_in` | `Gender=NonBin\|Number=Sing` |
+| `LehrerIn` | `LehrerIn` | `Gender=Masc,Fem\|Number=Sing` |
+| `LehrerInnen` | `LehrerIn` | `Gender=Masc,Fem\|Number=Plur` |
+| `Lehrer(in)` | `Lehrer(in)` | `Gender=Masc,Fem\|Number=Sing` |
+| `Lehrer/in` | `Lehrer/in` | `Gender=Masc,Fem\|Number=Sing` |
+| `Lehrer/-innen` | `Lehrer/in` | `Gender=Masc,Fem\|Number=Plur` |
+
+The lemma is always the **nominative singular** of the gender-marked derivate, preserving the original gender marker. Plural markers are stripped and their information encoded in `Number=Plur`. The `Gender` feature is retained for plural forms because the marker is still visibly present on the surface form.
+
+### Determiners (`DET` / `ART`, `PIAT`, `PWAT`, …)
+
+Common gendered determiners are annotated.
+
+| Surface form | Lemma | FEATS |
+|---|---|---|
+| `jede*r` | `jede*r` | `Gender=NonBin` |
+| `jede:r` | `jede:r` | `Gender=NonBin` |
+| `eine*n` | `eine*n` | `Gender=NonBin` |
+| `kein_e` | `kein_e` | `Gender=NonBin` |
+| `die/der` | `die/der` | `Gender=Masc,Fem` |
+
+Non-binary markers (`*`, `:`, `_`) yield `Gender=NonBin`; Schrägstrich (`/`) yields `Gender=Masc,Fem`.
+
+### Pronouns / Neo-pronouns (`PRON` / `PPER`)
+
+Merged pronoun pairs with gender markers are annotated:
+
+| Surface form | Lemma | FEATS |
+|---|---|---|
+| `sie*er` | `sie*er` | `Gender=NonBin` |
+| `er:sie` | `er:sie` | `Gender=NonBin` |
+
+### Known limitations
+
+- **Binnen-I with non-final capital** (e.g. `jedEn`, `jedEr`): these forms embed the capital letter at a non-final position; detection requires morphological analysis beyond simple pattern matching and is not currently supported.
+- **Gendered adjectives** (e.g. `begeisterte*n`): not yet annotated (occur in ~5 % of gendered NP elements per Ochs 2026, §7.3.2).
+- **Inflected case suffixes** on gendered nouns (e.g. genitive `Lehrers*in`, dative plural extra marking): rare and not detected.
+- **Completely novel neo-pronouns** (e.g. `dier`, `xier`) that do not follow a known pattern cannot be detected by regular expressions.
+
+## Usage
+
+```shell
+# Annotate CoNLL-U input
+korapxml2conllu doc.zip | conllu-gender
+
+# Sparse output (only annotated tokens, with their sentence headers)
+korapxml2conllu doc.zip | conllu-gender -s
+
+# Pipe with other KorAP annotation tools
+korapxml2conllu doc.zip | conllu-cmc | conllu-gender | conllu2korapxml > doc.annotated.zip
+```
+
+### Options
+
+| Option | Description |
+|---|---|
+| `-s`, `--sparse` | Print only tokens that received new annotations (with sentence headers). |
+| `-h`, `--help` | Print usage guide. |
+
+## Installation
+
+### npm
+
+```shell
+npm install 'git+https://gitlab.ids-mannheim.de/KorAP/conllu-gender.git'
+```
+
+### Build from source
+
+```shell
+npm install
+```
+
+#### Build standalone binary
+
+```shell
+npm run pkg-linux # Linux x64
+npm run pkg-macos # macOS x64
+npm run pkg-win # Windows x64
+npm run pkg-all # all platforms
+```
+
+## Testing
+
+```shell
+npm test
+```
+
+## References
+
+Ochs, S. & Rüdiger, J. O. (2025). Of stars and colons: A corpus-based analysis of gender-inclusive orthographies in German press texts. In D. Schmitz, S. D. Stein & V. Schneider (Eds.), *Linguistic Intersections of Language and Gender* (pp. 31–62). Düsseldorf: düsseldorf university press. https://doi.org/10.1515/9783111388694-003
+
+Ochs, S. (2026). Die morphosyntaktische Integration neuer Gendersuffixe: Eine korpusbasierte Analyse deutschsprachiger Pressetexte. *Gender Linguistics*, 2. https://doi.org/10.65020/0619d927
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+ "node": ">=12"
+ }
+ },
+ "node_modules/yargs-parser": {
+ "version": "21.1.1",
+ "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+ "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+ "dev": true,
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/yocto-queue": {
+ "version": "0.1.0",
+ "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+ "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+ "dev": true,
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ }
+ }
+}
diff --git a/package.json b/package.json
new file mode 100644
index 0000000..6ee3786
--- /dev/null
+++ b/package.json
@@ -0,0 +1,37 @@
+{
+ "name": "conllu-gender",
+ "version": "1.0.0",
+ "description": "Reads CoNLL-U format from stdin and annotates gender-sensitive forms (Genderstern, Doppelpunkt, Unterstrich, Binnen-I, Klammern, Schrägstrich) and neo-pronouns with correct POS, lemma, and morphological features. Writes CoNLL-U format to stdout.",
+ "main": "src/index.js",
+ "bin": {
+ "conllu-gender": "src/index.js"
+ },
+ "scripts": {
+ "pkg-linux": "pkg src/index.js --public -t node18-linux-x64 -o bin/linux/conllu-gender && chmod +x bin/linux/conllu-gender",
+ "pkg-macos": "pkg src/index.js --public -t node18-macos-x64 -o bin/macos/conllu-gender",
+ "pkg-win": "pkg src/index.js --public -t node18-win-x64 -o bin/win/conllu-gender",
+ "pkg-all": "npm run pkg-linux && npm run pkg-macos && npm run pkg-win",
+ "pkg": "pkg",
+ "test": "jest",
+ "start": "node src/index.js"
+ },
+ "author": "Marc Kupietz",
+ "license": "BSD-2-Clause",
+ "dependencies": {
+ "command-line-args": "^5.2.1",
+ "command-line-usage": "^7.0.1"
+ },
+ "pkg": {
+ "assets": [
+ "package.json"
+ ],
+ "scripts": [
+ "src/*.js"
+ ]
+ },
+ "devDependencies": {
+ "child_process": "^1.0.2",
+ "jest": "^29.7.0",
+ "pkg": "^5.8.1"
+ }
+}
diff --git a/src/index.js b/src/index.js
new file mode 100644
index 0000000..e2f22aa
--- /dev/null
+++ b/src/index.js
@@ -0,0 +1,440 @@
+#!/usr/bin/env node
+
+// conllu-gender
+// Reads CoNLL-U format from stdin and annotates German gender-sensitive personal
+// nouns, gendered determiners/pronouns, and neo-pronouns with correct POS (UPOS
+// and XPOS/STTS), lemma, and morphological features.
+//
+// Based on the morphosyntactic analysis in:
+// Ochs, S. (2026). Die morphosyntaktische Integration neuer Gendersuffixe:
+// Eine korpusbasierte Analyse deutschsprachiger Pressetexte.
+// Gender Linguistics, 2. doi: https://doi.org/10.65020/0619d927
+//
+// Gender marker types (following Ochs & Rüdiger 2025):
+// Non-binary intended: Genderstern (*), Doppelpunkt (:), Unterstrich (_)
+// Binary intended: Binnen-I (I), Klammern (()), Schrägstrich (/)
+
+// ---------------------------------------------------------------------------
+// Regex patterns for gender-sensitive NOUNS
+// ---------------------------------------------------------------------------
+// Each regex captures: (base, marker, suffix)
+// suffix is either 'in' (singular) or 'innen' (plural)
+
+// Genderstern: Lehrer*in, Bürger*innen, Ärzt*innen
+const nounGenderStarRegex = /^(.+)\*(in(?:nen)?)$/i;
+// Doppelpunkt: Lehrer:in, Bürger:innen
+const nounGenderColonRegex = /^(.+):(in(?:nen)?)$/i;
+// Unterstrich: Lehrer_in, Bürger_innen
+const nounGenderUnderscoreRegex = /^(.+)_(in(?:nen)?)$/i;
+// Binnen-I: LehrerIn, LehrerInnen (case-sensitive – the I is uppercase)
+// The base must end in a lowercase letter to avoid matching regular proper nouns
+// that start a sentence. We require at least one lowercase letter before the I.
+const nounBinnenIRegex = /^([A-ZÄÖÜ][a-zäöüß].*?[a-zäöüß])(In(?:nen)?)$/;
+// Klammern: Lehrer(in), Lehrer(innen)
+const nounKlammernRegex = /^(.+)\((in(?:nen)?)\)$/i;
+// Schrägstrich: Lehrer/in, Lehrer/innen, Lehrer/-in, Lehrer/-innen
+const nounSchraegstrichRegex = /^(.+)\/-?(in(?:nen)?)$/i;
+
+// ---------------------------------------------------------------------------
+// Regex patterns for gender-sensitive DETERMINERS / PRONOUNS
+// (jede*r, ein*e, der*die, des*r, eines*r, etc.)
+// ---------------------------------------------------------------------------
+// Inflected forms of articles, indefinite articles, and pronouns with gender
+// markers. Non-binary intended markers (*, :, _) are the most common.
+// We match: any known determiner/pronoun stem + gender_marker + ending
+
+// Gendered forms like: jede*r, jede:r, jede_r, kein*e, kein:e, ein*e, ein:e,
+// ein_e, der*die, die*der, des*r, des*der, dem*der, den*die, etc.
+// Strategy: match known Determiner/Pronoun base forms followed by gender marker
+// and a short inflectional ending.
+
+// Combined pattern: known pronoun/det base + non-binary marker + short ending
+// This covers forms documented in Ochs (2026) §7.3.2–7.3.4
+const detNonBinaryRegex = /^(jede[mn]?|jede[rs]?|keine?[mrns]?|eine?[mrns]?|de[mrns]|die|das|de[rs]|dem|den|aller?|manche[mrns]?|solche[mrns]?|welche[mrns]?|irgendeine[mrns]?)([*:_])([a-zäöürs]{1,3})$/i;
+
+// Binnen-I variants of determiners: einE, jedeR, jedeN, JedeR, etc.
+// Base (lowercase or title-case) + uppercase inflection letter(s)
+const detBinnenIRegex = /^(jede[mn]?|keine?[mrns]?|eine?[mrns]?|alle?|manche?|solche?|welche?)([RNSEM]{1,2})$/;
+
+// Doppelform determiners merged with Schrägstrich (the only binary-intended merge
+// character for articles per Ochs 2026): ein/e, die/der, einen/r, etc.
+// Non-binary markers (*, :, _) are handled by detNonBinaryRegex with Gender=NonBin.
+const detDoppelformRegex = /^(der|die|das|dem|den|des|ein|eine|einen|einem|einer|eines)\/(der|die|das|dem|den|des|ein|eine|einen|einem|einer|eines|[rns])$/i;
+
+// ---------------------------------------------------------------------------
+// Neo-pronouns (new gender-neutral pronouns in German)
+// ---------------------------------------------------------------------------
+// Gendered-star pronoun pairs (sie*er, er*sie, ihr*sein, etc.)
+const neopronGenderStarPairRegex = /^(sie|er|ihr|ihn?|ihm?|dich|sich|mich|mir|uns|euch|ihnen|seinen?|ihrem?|deren?|denen)([*:_])(sie|er|ihr|ihn?|ihm?|dich|sich|mich|mir|uns|euch|ihnen|seinen?|ihrem?|deren?|denen)$/i;
+
+// ---------------------------------------------------------------------------
+// Helpers
+// ---------------------------------------------------------------------------
+
+/**
+ * Determine if a suffix string represents singular or plural.
+ * 'in' (length 2) → Sing
+ * 'innen' (length 5) → Plur
+ * Works case-insensitively (In / Innen for Binnen-I forms).
+ */
+function getNumber(suffix) {
+ return /^innen$/i.test(suffix) ? 'Plur' : 'Sing';
+}
+
+/**
+ * Build the canonical lemma for a gendered noun.
+ * The lemma is always the nominative singular form, preserving the original
+ * gender marker. This follows the convention that the lemma reflects the
+ * citation form of the gendered derivate (Ochs 2026 §2).
+ *
+ * @param {string} base - derivation base (before the gender marker)
+ * @param {string} marker - gender marker character(s), e.g. '*', ':', '_', 'I',
+ * '(in)', '/in', etc.
+ * @param {string} markerType - 'star'|'colon'|'underscore'|'binnenI'|
+ * 'klammern'|'schraegstrich'
+ */
+function buildNounLemma(base, marker, markerType) {
+ switch (markerType) {
+ case 'star': return base + '*in';
+ case 'colon': return base + ':in';
+ case 'underscore': return base + '_in';
+ case 'binnenI': return base + 'In';
+ case 'klammern': return base + '(in)';
+ case 'schraegstrich':return base + '/in';
+ default: return base + marker + 'in';
+ }
+}
+
+/**
+ * Build the morphological features string for a gendered noun token.
+ * Per CoNLL-U conventions, features are sorted alphabetically by feature name.
+ *
+ * Gender values used (extending standard UD practice for German):
+ * NonBin – non-binary intended forms (*, :, _)
+ * Masc,Fem – binary inclusive forms (I, (), /)
+ *
+ * Case is not set here because it cannot be determined from surface form alone
+ * for the vast majority of gendered noun tokens (Ochs 2026 §7.1).
+ *
+ * @param {string} number - 'Sing' | 'Plur'
+ * @param {string} markerType - see buildNounLemma
+ */
+function buildNounFeatures(number, markerType) {
+ const genderIsNonBinary = ['star', 'colon', 'underscore'].includes(markerType);
+ const genderIsBinary = ['binnenI', 'klammern', 'schraegstrich'].includes(markerType);
+
+ const feats = [];
+ if (genderIsNonBinary) {
+ feats.push('Gender=NonBin');
+ } else if (genderIsBinary) {
+ feats.push('Gender=Masc,Fem');
+ }
+ feats.push('Number=' + number);
+ return feats.join('|');
+}
+
+// ---------------------------------------------------------------------------
+// Command-line interface (mirrors conllu-cmc)
+// ---------------------------------------------------------------------------
+
+const optionDefinitions = [
+ { name: 'sparse', alias: 's', type: Boolean,
+ description: 'Print only the tokens that received new annotations.' },
+ { name: 'help', alias: 'h', type: Boolean,
+ description: 'Print this usage guide.' },
+];
+
+const sections = [
+ {
+ header: 'conllu-gender',
+ content: 'Reads CoNLL-U format from stdin and annotates German gender-sensitive ' +
+ 'personal nouns, gendered determiners/pronouns, and neo-pronouns with ' +
+ 'correct POS, lemma, and morphological features. Writes CoNLL-U to stdout.'
+ },
+ {
+ header: 'Synopsis',
+ content: '$ conllu-gender [-s] < input.conllu > output.conllu'
+ },
+ {
+ header: 'Options',
+ optionList: optionDefinitions
+ }
+];
+
+const getUsage = require('command-line-usage');
+const commandLineArgs = require('command-line-args');
+
+var options;
+try {
+ options = commandLineArgs(optionDefinitions);
+} catch (e) {
+ console.error(e.message);
+ options = { help: true };
+}
+
+if (options.help) {
+ const usage = getUsage(sections);
+ console.log(usage);
+ process.exit(0);
+}
+
+// ---------------------------------------------------------------------------
+// CoNLL-U processing
+// ---------------------------------------------------------------------------
+
+const readline = require('readline');
+global.header = '';
+global.fileheader = '';
+global.standalone = false;
+
+const rl = readline.createInterface({
+ input: process.stdin,
+ output: process.stdout,
+ terminal: false,
+});
+
+/**
+ * Attempt to annotate a single CoNLL-U token (word form).
+ * Returns an annotation object on success, or null if the token is not a
+ * recognised gender-sensitive form.
+ *
+ * Annotation object shape:
+ * { lemma, upos, xpos, feats }
+ */
+function classifyToken(word) {
+ let m;
+
+ // ------------------------------------------------------------------
+ // 1. Gender-sensitive NOUNS
+ // ------------------------------------------------------------------
+
+ // Genderstern (non-binary intended)
+ if ((m = nounGenderStarRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, '*', 'star'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'star'),
+ };
+ }
+
+ // Doppelpunkt (non-binary intended)
+ if ((m = nounGenderColonRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, ':', 'colon'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'colon'),
+ };
+ }
+
+ // Unterstrich (non-binary intended)
+ if ((m = nounGenderUnderscoreRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, '_', 'underscore'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'underscore'),
+ };
+ }
+
+ // Schrägstrich (binary intended) – before Binnen-I to avoid false matches
+ if ((m = nounSchraegstrichRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, '/', 'schraegstrich'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'schraegstrich'),
+ };
+ }
+
+ // Klammern (binary intended)
+ if ((m = nounKlammernRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, '()', 'klammern'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'klammern'),
+ };
+ }
+
+ // Binnen-I (binary intended) – requires at least one lowercase letter before
+ // the I to distinguish from sentence-initial capitalisation
+ if ((m = nounBinnenIRegex.exec(word))) {
+ const [, base, suffix] = m;
+ const number = getNumber(suffix);
+ return {
+ lemma: buildNounLemma(base, 'I', 'binnenI'),
+ upos: 'NOUN',
+ xpos: 'NN',
+ feats: buildNounFeatures(number, 'binnenI'),
+ };
+ }
+
+ // ------------------------------------------------------------------
+ // 2. Gender-sensitive DETERMINERS / PRONOUNS
+ // ------------------------------------------------------------------
+
+ // Doppelform determiners merged with gender marker (der*die, des*r, etc.)
+ // Checked before detNonBinaryRegex because die*der is a Doppelform, not purely
+ // non-binary intended, and should receive Gender=Masc,Fem features.
+ if ((m = detDoppelformRegex.exec(word))) {
+ const [fullMatch, form1] = m;
+ return {
+ lemma: fullMatch,
+ upos: 'DET',
+ xpos: inferDetXpos(form1),
+ feats: 'Gender=Masc,Fem',
+ };
+ }
+
+ // Non-binary marker determiners (jede*r, ein:e, kein_e, etc.)
+ if ((m = detNonBinaryRegex.exec(word))) {
+ const [, detBase, marker, ending] = m;
+ // Preserve full base + marker + ending as lemma (no stripping needed;
+ // gendered determiners have no established uninflected citation form).
+ return {
+ lemma: detBase + marker + ending,
+ upos: 'DET',
+ xpos: inferDetXpos(detBase),
+ feats: 'Gender=NonBin',
+ };
+ }
+
+ // Binnen-I determiners (einE, JedeR, jedeN, etc.)
+ if ((m = detBinnenIRegex.exec(word))) {
+ const [, detBase, endings] = m;
+ return {
+ lemma: detBase + endings,
+ upos: 'DET',
+ xpos: inferDetXpos(detBase),
+ feats: 'Gender=Masc,Fem',
+ };
+ }
+
+ // ------------------------------------------------------------------
+ // 3. Neo-pronouns / gendered pronoun pairs
+ // ------------------------------------------------------------------
+
+ if ((m = neopronGenderStarPairRegex.exec(word))) {
+ const [fullMatch, pron1, marker, pron2] = m;
+ const markerType = marker === '*' ? 'star' : marker === ':' ? 'colon' : 'underscore';
+ return {
+ lemma: fullMatch,
+ upos: 'PRON',
+ xpos: inferPronXpos(pron1),
+ feats: markerType === 'star' || markerType === 'colon' || markerType === 'underscore'
+ ? 'Gender=NonBin' : 'Gender=Masc,Fem',
+ };
+ }
+
+ return null;
+}
+
+/**
+ * Infer STTS XPOS tag for a determiner/article base.
+ */
+function inferDetXpos(base) {
+ const b = base.toLowerCase();
+ if (/^(der|die|das|de[mrns])/.test(b)) return 'ART';
+ if (/^(ein|eine|einen|einem|einer|eines|kein|keine|keinen|keinem|keiner|keines)/.test(b)) return 'ART';
+ if (/^(jede|jeder|jeden|jedem|jedes|jedem)/.test(b)) return 'PIAT';
+ if (/^(alle|aller|allen|alles|allem)/.test(b)) return 'PIAT';
+ if (/^(manche|mancher|manchen|manchem|manches)/.test(b)) return 'PIAT';
+ if (/^(solche|solcher|solchen|solchem|solches)/.test(b)) return 'PIAT';
+ if (/^(welche|welcher|welchen|welchem|welches)/.test(b)) return 'PWAT';
+ if (/^(irgend)/.test(b)) return 'PIAT';
+ return 'ART';
+}
+
+/**
+ * Infer STTS XPOS tag for a personal pronoun base.
+ */
+function inferPronXpos(base) {
+ const b = base.toLowerCase();
+ if (/^(ich|du|er|sie|es|wir|ihr|sie|mich|mir|dich|dir|sich|ihn|ihm|uns|euch)$/.test(b)) return 'PPER';
+ return 'PPER';
+}
+
+// ---------------------------------------------------------------------------
+// Main line-by-line processing loop (mirrors conllu-cmc approach)
+// ---------------------------------------------------------------------------
+
+function parseConllu(line) {
+ // Handle foundry comment: change to 'gender'
+ if (line.match('#\\s*foundry')) {
+ if (line.match('=\\s*base')) {
+ if (options.sparse) {
+ global.standalone = true;
+ }
+ process.stdout.write('# foundry = gender\n');
+ } else {
+ process.stdout.write(`${line}\n`);
+ }
+ return;
+ }
+
+ if (global.standalone) {
+ if (line.match('^#\\s*filename')) {
+ global.fileheader = `${line}\n`;
+ return;
+ } else if (line.match('^#\\s*text_id')) {
+ global.fileheader += `${line}\n`;
+ return;
+ } else if (line.match('^#\\s*eo[ft]')) {
+ process.stdout.write(`${line}\n`);
+ return;
+ } else if (line.match('^#')) {
+ global.header += `${line}\n`;
+ return;
+ } else if (line.trim().match('^$')) {
+ if (global.header === '') {
+ process.stdout.write('\n');
+ }
+ global.header = '';
+ return;
+ }
+ } else {
+ if (!line.match('^\\d+')) {
+ process.stdout.write(`${line}\n`);
+ return;
+ }
+ }
+
+ const columns = line.trim().split('\t');
+ // CoNLL-U columns (0-indexed):
+ // 0:ID 1:FORM 2:LEMMA 3:UPOS 4:XPOS 5:FEATS 6:HEAD 7:DEPREL 8:DEPS 9:MISC
+
+ const word = columns[1];
+ const annotation = classifyToken(word);
+
+ if (annotation) {
+ // Replace lemma (col 2), UPOS (col 3), XPOS (col 4), FEATS (col 5)
+ columns[2] = annotation.lemma;
+ columns[3] = annotation.upos;
+ columns[4] = annotation.xpos;
+ columns[5] = annotation.feats;
+
+ if (global.standalone) {
+ process.stdout.write(global.fileheader);
+ process.stdout.write(global.header);
+ global.header = global.fileheader = '';
+ }
+ process.stdout.write(columns.join('\t') + '\n');
+ } else if (!global.standalone) {
+ process.stdout.write(`${line}\n`);
+ }
+}
+
+rl.on('line', parseConllu);
+rl.on('close', () => process.exit(0));
diff --git a/test/data/gender.conllu b/test/data/gender.conllu
new file mode 100644
index 0000000..bc3c76c
--- /dev/null
+++ b/test/data/gender.conllu
@@ -0,0 +1,117 @@
+# foundry = base
+# filename = TEST/gender/000001/base/tokens.xml
+# text_id = GENDER_TEST.000001
+# text = Im Prinzip kann jede*r Bürger*in die Umbenennung beantragen
+1 Im _ ADP APPRART _ _ _ _ _
+2 Prinzip _ NOUN NN _ _ _ _ _
+3 kann _ AUX VMFIN _ _ _ _ _
+4 jede*r _ DET PIAT _ _ _ _ _
+5 Bürger*in _ NOUN NN _ _ _ _ _
+6 die _ DET ART _ _ _ _ _
+7 Umbenennung _ NOUN NN _ _ _ _ _
+8 beantragen _ VERB VVINF _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000002/base/tokens.xml
+# text_id = GENDER_TEST.000002
+# text = Die Tests sind freiwillig, jede*r SchülerIn hat Anspruch auf kostenlose Tests
+1 Die _ DET ART _ _ _ _ _
+2 Tests _ NOUN NN _ _ _ _ _
+3 sind _ AUX VAFIN _ _ _ _ _
+4 freiwillig _ ADJ ADJD _ _ _ _ _
+5 , _ PUNCT $, _ _ _ _ _
+6 jede*r _ DET PIAT _ _ _ _ _
+7 SchülerIn _ NOUN NN _ _ _ _ _
+8 hat _ AUX VAFIN _ _ _ _ _
+9 Anspruch _ NOUN NN _ _ _ _ _
+10 auf _ ADP APPR _ _ _ _ _
+11 kostenlose _ ADJ ADJA _ _ _ _ _
+12 Tests _ NOUN NN _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000003/base/tokens.xml
+# text_id = GENDER_TEST.000003
+# text = Als Kinder- und Jugendpsychiater*in ist sie bekannt
+1 Als _ ADP APPR _ _ _ _ _
+2 Kinder- _ NOUN NN _ _ _ _ _
+3 und _ CCONJ KON _ _ _ _ _
+4 Jugendpsychiater*in _ _ _ _ _ _ _ _
+5 ist _ AUX VAFIN _ _ _ _ _
+6 sie _ PRON PPER _ _ _ _ _
+7 bekannt _ ADJ ADJD _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000004/base/tokens.xml
+# text_id = GENDER_TEST.000004
+# text = Wir suchen eine*n begeisterte*n Nachfolger*in, als Anhänger:in linker Ideen
+1 Wir _ PRON PPER _ _ _ _ _
+2 suchen _ VERB VVFIN _ _ _ _ _
+3 eine*n _ DET ART _ _ _ _ _
+4 begeisterte*n _ ADJ ADJA _ _ _ _ _
+5 Nachfolger*in _ _ _ _ _ _ _ _
+6 , _ PUNCT $, _ _ _ _ _
+7 als _ ADP APPR _ _ _ _ _
+8 Anhänger:in _ _ _ _ _ _ _ _
+9 linker _ ADJ ADJA _ _ _ _ _
+10 Ideen _ NOUN NN _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000005/base/tokens.xml
+# text_id = GENDER_TEST.000005
+# text = Fachärzt*innen, Lehrer:innen und Autor_innen schreiben
+1 Fachärzt*innen _ _ _ _ _ _ _ _
+2 , _ PUNCT $, _ _ _ _ _
+3 Lehrer:innen _ _ _ _ _ _ _ _
+4 und _ CCONJ KON _ _ _ _ _
+5 Autor_innen _ _ _ _ _ _ _ _
+6 schreiben _ VERB VVFIN _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000006/base/tokens.xml
+# text_id = GENDER_TEST.000006
+# text = LehrerInnen, Schüler(innen) und Autor/innen lesen
+1 LehrerInnen _ _ _ _ _ _ _ _
+2 , _ PUNCT $, _ _ _ _ _
+3 Schüler(innen) _ _ _ _ _ _ _ _
+4 und _ CCONJ KON _ _ _ _ _
+5 Autor/innen _ _ _ _ _ _ _ _
+6 lesen _ VERB VVFIN _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000007/base/tokens.xml
+# text_id = GENDER_TEST.000007
+# text = die*der Antragssteller*in schreibt jede:r Wirt:in
+1 die*der _ DET ART _ _ _ _ _
+2 Antragssteller*in _ _ _ _ _ _ _ _
+3 schreibt _ VERB VVFIN _ _ _ _ _
+4 jede:r _ DET PIAT _ _ _ _ _
+5 Wirt:in _ _ _ _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000008/base/tokens.xml
+# text_id = GENDER_TEST.000008
+# text = sie*er schrieb Menschenrechtsanwält:innen
+1 sie*er _ _ _ _ _ _ _ _
+2 schrieb _ VERB VVFIN _ _ _ _ _
+3 Menschenrechtsanwält:innen _ _ _ _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000009/base/tokens.xml
+# text_id = GENDER_TEST.000009
+# text = ohne jedEn ZeugIn sprach die Generalstaatsanwält*in
+1 ohne _ ADP APPR _ _ _ _ _
+2 jedEn _ DET PIAT _ _ _ _ _
+3 ZeugIn _ _ _ _ _ _ _ _
+4 sprach _ VERB VVFIN _ _ _ _ _
+5 die _ DET ART _ _ _ _ _
+6 Generalstaatsanwält*in _ _ _ _ _ _ _ _
+
+# foundry = base
+# filename = TEST/gender/000010/base/tokens.xml
+# text_id = GENDER_TEST.000010
+# text = Autor/-innen und Spieler/-innen lasen
+1 Autor/-innen _ _ _ _ _ _ _ _
+2 und _ CCONJ KON _ _ _ _ _
+3 Spieler/-innen _ _ _ _ _ _ _ _
+4 lasen _ VERB VVFIN _ _ _ _ _
+
diff --git a/test/test.js b/test/test.js
new file mode 100644
index 0000000..6367049
--- /dev/null
+++ b/test/test.js
@@ -0,0 +1,173 @@
+const { execSync } = require('child_process');
+
+describe('conllu-gender', () => {
+
+ test('Full mode: all gender-sensitive nouns (Genderstern singular)', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+
+ // Genderstern singular noun: Bürger*in → lemma Bürger*in, NOUN NN Gender=NonBin|Number=Sing
+ expect(stdout).toContain('Bürger*in\tBürger*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // Long compound: Jugendpsychiater*in
+ expect(stdout).toContain('Jugendpsychiater*in\tJugendpsychiater*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // Compound with umlaut base: Generalstaatsanwält*in
+ expect(stdout).toContain('Generalstaatsanwält*in\tGeneralstaatsanwält*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // Nachfolger*in
+ expect(stdout).toContain('Nachfolger*in\tNachfolger*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // With umlaut base: Antragssteller*in (no umlaut but long compound)
+ expect(stdout).toContain('Antragssteller*in\tAntragssteller*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ });
+
+ test('Full mode: Genderstern plural nouns → lemma uses singular, Number=Plur', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // Fachärzt*innen → lemma Fachärzt*in
+ expect(stdout).toContain('Fachärzt*innen\tFachärzt*in\tNOUN\tNN\tGender=NonBin|Number=Plur');
+ });
+
+ test('Full mode: Doppelpunkt nouns', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // Doppelpunkt singular
+ expect(stdout).toContain('Anhänger:in\tAnhänger:in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ expect(stdout).toContain('Wirt:in\tWirt:in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // Doppelpunkt plural
+ expect(stdout).toContain('Lehrer:innen\tLehrer:in\tNOUN\tNN\tGender=NonBin|Number=Plur');
+ // Long compound with umlaut base
+ expect(stdout).toContain('Menschenrechtsanwält:innen\tMenschenrechtsanwält:in\tNOUN\tNN\tGender=NonBin|Number=Plur');
+ });
+
+ test('Full mode: Unterstrich plural nouns', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ expect(stdout).toContain('Autor_innen\tAutor_in\tNOUN\tNN\tGender=NonBin|Number=Plur');
+ });
+
+ test('Full mode: Binnen-I nouns (binary intended → Gender=Masc,Fem)', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // Binnen-I singular: ZeugIn → Gender=Masc,Fem|Number=Sing
+ expect(stdout).toContain('ZeugIn\tZeugIn\tNOUN\tNN\tGender=Masc,Fem|Number=Sing');
+ // Binnen-I singular: SchülerIn → Gender=Masc,Fem|Number=Sing
+ expect(stdout).toContain('SchülerIn\tSchülerIn\tNOUN\tNN\tGender=Masc,Fem|Number=Sing');
+ // Binnen-I plural: LehrerInnen → lemma LehrerIn, Number=Plur
+ expect(stdout).toContain('LehrerInnen\tLehrerIn\tNOUN\tNN\tGender=Masc,Fem|Number=Plur');
+ });
+
+ test('Full mode: Klammern plural nouns (binary intended)', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ expect(stdout).toContain('Schüler(innen)\tSchüler(in)\tNOUN\tNN\tGender=Masc,Fem|Number=Plur');
+ });
+
+ test('Full mode: Schrägstrich nouns', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // Simple slash
+ expect(stdout).toContain('Autor/innen\tAutor/in\tNOUN\tNN\tGender=Masc,Fem|Number=Plur');
+ // Slash with Ergänzungsstrich (/-innen)
+ expect(stdout).toContain('Autor/-innen\tAutor/in\tNOUN\tNN\tGender=Masc,Fem|Number=Plur');
+ expect(stdout).toContain('Spieler/-innen\tSpieler/in\tNOUN\tNN\tGender=Masc,Fem|Number=Plur');
+ });
+
+ test('Full mode: gendered determiners/pronouns (non-binary intended)', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // jede*r → DET PIAT Gender=NonBin, lemma jede*r
+ expect(stdout).toContain('jede*r\tjede*r\tDET\tPIAT\tGender=NonBin');
+ const jeder_count = (stdout.match(/jede\*r\tjede\*r/g) || []).length;
+ expect(jeder_count).toBe(2); // appears in two sentences
+ // eine*n → DET ART Gender=NonBin (non-binary via *)
+ expect(stdout).toContain('eine*n\teine*n\tDET\tART\tGender=NonBin');
+ // jede:r → DET PIAT Gender=NonBin
+ expect(stdout).toContain('jede:r\tjede:r\tDET\tPIAT\tGender=NonBin');
+ // die*der → DET ART Gender=NonBin (* marker → NonBin even for merged forms)
+ expect(stdout).toContain('die*der\tdie*der\tDET\tART\tGender=NonBin');
+ });
+
+ test('Full mode: neo-pronoun (sie*er → PRON PPER Gender=NonBin)', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ expect(stdout).toContain('sie*er\tsie*er\tPRON\tPPER\tGender=NonBin');
+ });
+
+ test('Full mode: foundry comment changed to gender', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ const foundry_count = (stdout.match(/# foundry = gender/g) || []).length;
+ expect(foundry_count).toBe(10);
+ });
+
+ test('Full mode: non-gender tokens pass through unchanged', () => {
+ const command = 'node src/index.js < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // Regular nouns are passed through, lemma stays _
+ expect(stdout).toContain('Umbenennung\t_\tNOUN\tNN');
+ expect(stdout).toContain('Ideen\t_\tNOUN\tNN');
+ });
+
+ test('Sparse mode: only annotated tokens are emitted', () => {
+ const command = 'node src/index.js -s < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ const lines = stdout.split('\n');
+ const tokenLines = lines.filter(l => l.match(/^\d+\t/));
+ // Every token line must carry a gender annotation:
+ // either the lemma column (col 2) is non-underscore (noun/pron was annotated)
+ // or the features column (col 5) is non-underscore (det was annotated)
+ tokenLines.forEach(line => {
+ const cols = line.split('\t');
+ const lemmaAnnotated = cols[2] !== '_';
+ const featsAnnotated = cols[5] !== '_';
+ expect(lemmaAnnotated || featsAnnotated).toBe(true);
+ });
+ // Count: 18 NOUN + 5 DET + 1 PRON = 24 annotated tokens
+ expect(tokenLines.length).toBe(24);
+ });
+
+ test('Sparse mode: sentence headers are emitted for sentences with matches', () => {
+ const command = 'node src/index.js -s < test/data/gender.conllu';
+ const stdout = execSync(command).toString();
+ // All 10 test sentences have at least one gender form
+ const text_id_count = (stdout.match(/# text_id = /g) || []).length;
+ expect(text_id_count).toBe(10);
+ });
+
+ test('Inline input: basic Genderstern annotation', () => {
+ const testInput = `# foundry = base
+# text_id = inline-001
+# text = Die Lehrerin und Lehrer*innen kamen
+1\tDie\t_\tDET\tART\t_\t_\t_\t_\t_
+2\tLehrerin\t_\tNOUN\tNN\t_\t_\t_\t_\t_
+3\tund\t_\tCCONJ\tKON\t_\t_\t_\t_\t_
+4\tLehrer*innen\t_\t_\t_\t_\t_\t_\t_\t_
+5\tkamen\t_\tVERB\tVVFIN\t_\t_\t_\t_\t_
+
+`;
+ const stdout = execSync('node src/index.js', { input: testInput }).toString();
+ expect(stdout).toContain('Lehrer*innen\tLehrer*in\tNOUN\tNN\tGender=NonBin|Number=Plur');
+ // Regular noun 'Lehrerin' must not be incorrectly tagged
+ expect(stdout).toContain('Lehrerin\t_\tNOUN\tNN\t_');
+ });
+
+ test('Inline input: existing POS/lemma/feats are replaced for gender forms', () => {
+ const testInput = `# foundry = base
+# text_id = inline-002
+# text = jede Ärztin und jede*r Arzt*in
+1\tjede\t_\tDET\tPIAT\tGender=Fem|Number=Sing\t_\t_\t_\t_
+2\tÄrztin\tÄrztin\tNOUN\tNN\tGender=Fem|Number=Sing\t_\t_\t_\t_
+3\tund\t_\tCCONJ\tKON\t_\t_\t_\t_\t_
+4\tjede*r\t_\tDET\tPIAT\t_\t_\t_\t_\t_
+5\tArzt*in\t_\t_\t_\t_\t_\t_\t_\t_
+
+`;
+ const stdout = execSync('node src/index.js', { input: testInput }).toString();
+ // jede*r: missing feats should be filled in
+ expect(stdout).toContain('jede*r\tjede*r\tDET\tPIAT\tGender=NonBin');
+ // Arzt*in: umlaut base, missing everything
+ expect(stdout).toContain('Arzt*in\tArzt*in\tNOUN\tNN\tGender=NonBin|Number=Sing');
+ // Ärztin (regular moviertes Femininum, no gender marker): unchanged
+ expect(stdout).toContain('Ärztin\tÄrztin\tNOUN\tNN\tGender=Fem|Number=Sing');
+ // jede (without gender marker): unchanged
+ expect(stdout).toContain('jede\t_\tDET\tPIAT\tGender=Fem|Number=Sing');
+ });
+});