Kerollmops/lindera

A morphological analysis library.

Lindera

A morphological analysis library in Rust. This project fork from fulmicoton's kuromoji-rs.

Lindera aims to build a library which is easy to install and provides concise APIs for various Rust applications.

The following products are required to build:

• Rust >= 1.46.0

Usage

Make sure you activated the full features of the lindera crate on Cargo.toml:

[dependencies]
lindera = { version = "0.12.0", features = ["full"] }

Basic example

This example covers the basic usage of Lindera.

It will:

• Create a tokenizer in normal mode
• Tokenize the input text
• Output the tokens

use lindera::tokenizer::Tokenizer;
use lindera::LinderaResult;

fn main() -> LinderaResult<()> {
    // create tokenizer
    let tokenizer = Tokenizer::new()?;

    // tokenize the text
    let tokens = tokenizer.tokenize("関西国際空港限定トートバッグ")?;

    // output the tokens
    for token in tokens {
        println!("{}", token.text);
    }

    Ok(())
}

The above example can be run as follows:

% cargo run --features=ipadic --example=basic_example

You can see the result as follows:

関西国際空港
限定
トートバッグ

User dictionary example

You can give user dictionary entries along with the default system dictionary. User dictionary should be a CSV with following format.

<surface_form>,<part_of_speech>,<reading>

For example:

% cat userdic.csv
東京スカイツリー,カスタム名詞,トウキョウスカイツリー
東武スカイツリーライン,カスタム名詞,トウブスカイツリーライン
とうきょうスカイツリー駅,カスタム名詞,トウキョウスカイツリーエキ

With an user dictionary, Tokenizer will be created as follows:

use std::path::PathBuf;

use lindera::tokenizer::{Tokenizer, TokenizerConfig};
use lindera_core::viterbi::Mode;
use lindera_core::LinderaResult;

fn main() -> LinderaResult<()> {
    // create tokenizer
    let config = TokenizerConfig {
        user_dict_path: Some(PathBuf::from("./resources/userdic.csv")),
        mode: Mode::Normal,
        ..TokenizerConfig::default()
    };
    let tokenizer = Tokenizer::with_config(config)?;

    // tokenize the text
    let tokens = tokenizer.tokenize("東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です")?;

    // output the tokens
    for token in tokens {
        println!("{}", token.text);
    }

    Ok(())
}

The above example can be by cargo run --example:

% cargo run --features=ipadic --example=userdic_example
東京スカイツリー
の
最寄り駅
は
とうきょうスカイツリー駅
です

API reference

The API reference is available. Please see following URL:

• lindera