Dictionary Management

Lindera Node.js provides functions for loading, building, and managing dictionaries used in morphological analysis.

Loading Dictionaries

System Dictionaries

Use loadDictionary(uri) to load a system dictionary. Download a pre-built dictionary from GitHub Releases and specify the path to the extracted directory:

const { loadDictionary } = require("lindera-nodejs");

const dictionary = loadDictionary("/path/to/ipadic");

Embedded dictionaries (advanced) -- if you built with an embed-* feature flag, you can load an embedded dictionary:

const dictionary = loadDictionary("embedded://ipadic");

User Dictionaries

User dictionaries add custom vocabulary on top of a system dictionary.

const { loadUserDictionary, Metadata } = require("lindera-nodejs");

const metadata = new Metadata();
const userDict = loadUserDictionary("/path/to/user_dictionary", metadata);

Pass the user dictionary when building a tokenizer:

const { Tokenizer, loadDictionary, loadUserDictionary, Metadata } = require("lindera-nodejs");

const dictionary = loadDictionary("/path/to/ipadic");
const metadata = new Metadata();
const userDict = loadUserDictionary("/path/to/user_dictionary", metadata);

const tokenizer = new Tokenizer(dictionary, "normal", userDict);

Or via the builder:

const { TokenizerBuilder } = require("lindera-nodejs");

const tokenizer = new TokenizerBuilder()
  .setDictionary("/path/to/ipadic")
  .setUserDictionary("/path/to/user_dictionary")
  .build();

Building Dictionaries

System Dictionary

Build a system dictionary from source files:

const { buildDictionary, Metadata } = require("lindera-nodejs");

const metadata = new Metadata({ name: "custom", encoding: "UTF-8" });
buildDictionary("/path/to/input_dir", "/path/to/output_dir", metadata);

The input directory should contain the dictionary source files (CSV lexicon, matrix.def, etc.).

User Dictionary

Build a user dictionary from a CSV file:

const { buildUserDictionary, Metadata } = require("lindera-nodejs");

const metadata = new Metadata();
buildUserDictionary("ipadic", "user_words.csv", "/path/to/output_dir", metadata);

The metadata parameter is optional. When omitted, default metadata values are used:

buildUserDictionary("ipadic", "user_words.csv", "/path/to/output_dir");

Metadata

The Metadata class configures dictionary parameters.

Creating Metadata

const { Metadata } = require("lindera-nodejs");

// Default metadata
const metadata = new Metadata();

// Custom metadata
const metadata = new Metadata({
  name: "my_dictionary",
  encoding: "UTF-8",
  defaultWordCost: -10000,
});

Loading from JSON

const metadata = Metadata.fromJsonFile("metadata.json");

Properties

All properties support both getting and setting:

const metadata = new Metadata();
metadata.name = "custom_dict";
metadata.encoding = "EUC-JP";
console.log(metadata.name); // "custom_dict"

toObject()

Returns a plain object representation of the metadata:

const metadata = new Metadata({ name: "test" });
console.log(metadata.toObject());

Schema

The Schema class defines the field structure of dictionary entries.

Creating a Schema

const { Schema } = require("lindera-nodejs");

// Default IPADIC-compatible schema
const schema = Schema.createDefault();

// Custom schema
const custom = new Schema(["surface", "left_id", "right_id", "cost", "pos", "reading"]);

Schema Methods

const schema = Schema.createDefault();

console.log(schema.fieldCount());           // 13 (IPADIC format)
console.log(schema.getFieldIndex("pos1"));  // e.g., 4
console.log(schema.getAllFields());          // ["surface", "left_id", ...]
console.log(schema.getCustomFields());      // Fields after index 4

FieldDefinition

FieldType