Struct icu_segmenter::word::WordSegmenter

pub struct WordSegmenter {
    payload: DataPayload<WordBreakDataV1Marker>,
    complex: ComplexPayloads,
}

Supports loading word break data, and creating word break iterators for different string encodings.

Examples

Segment a string:

use icu::segmenter::WordSegmenter;
let segmenter = WordSegmenter::new_auto();

let breakpoints: Vec<usize> =
    segmenter.segment_str("Hello World").collect();
assert_eq!(&breakpoints, &[0, 5, 6, 11]);

Segment a Latin1 byte string:

use icu::segmenter::WordSegmenter;
let segmenter = WordSegmenter::new_auto();

let breakpoints: Vec<usize> =
    segmenter.segment_latin1(b"Hello World").collect();
assert_eq!(&breakpoints, &[0, 5, 6, 11]);

Successive boundaries can be used to retrieve the segments. In particular, the first boundary is always 0, and the last one is the length of the segmented text in code units.

use itertools::Itertools;
let text = "Mark’d ye his words?";
let segments: Vec<&str> = segmenter
    .segment_str(text)
    .tuple_windows()
    .map(|(i, j)| &text[i..j])
    .collect();
assert_eq!(
    &segments,
    &["Mark’d", " ", "ye", " ", "his", " ", "words", "?"]
);

Not all segments delimited by word boundaries are words; some are interword segments such as spaces and punctuation. The WordBreakIterator::word_type() of a boundary can be used to classify the preceding segment; WordBreakIterator::iter_with_word_type() associates each boundary with its status.

let words: Vec<&str> = segmenter
    .segment_str(text)
    .iter_with_word_type()
    .tuple_windows()
    .filter(|(_, (_, segment_type))| segment_type.is_word_like())
    .map(|((i, _), (j, _))| &text[i..j])
    .collect();
assert_eq!(&words, &["Mark’d", "ye", "his", "words"]);

Fields

payload: DataPayload<WordBreakDataV1Marker>

complex: ComplexPayloads

Implementations

impl WordSegmenter

pub fn new_auto() -> Self

Constructs a WordSegmenter with an invariant locale and the best available compiled data for complex scripts (Chinese, Japanese, Khmer, Lao, Myanmar, and Thai).

The current behavior, which is subject to change, is to use the LSTM model when available and the dictionary model for Chinese and Japanese.

✨ Enabled with the compiled_data and auto Cargo features.

📚 Help choosing a constructor

Examples

Behavior with complex scripts:

use icu::segmenter::WordSegmenter;

let th_str = "ทุกสองสัปดาห์";
let ja_str = "こんにちは世界";

let segmenter = WordSegmenter::new_auto();

let th_bps = segmenter.segment_str(th_str).collect::<Vec<_>>();
let ja_bps = segmenter.segment_str(ja_str).collect::<Vec<_>>();

assert_eq!(th_bps, [0, 9, 18, 39]);
assert_eq!(ja_bps, [0, 15, 21]);

pub fn try_new_auto_with_any_provider( provider: &(impl AnyProvider + ?Sized), ) -> Result<Self, SegmenterError>

A version of [Self::try_new_auto] that uses custom data provided by an AnyProvider.

📚 Help choosing a constructor

pub fn try_new_auto_unstable<D>(provider: &D) -> Result<Self, SegmenterError>

where D: DataProvider<WordBreakDataV1Marker> + DataProvider<DictionaryForWordOnlyAutoV1Marker> + DataProvider<LstmForWordLineAutoV1Marker> + DataProvider<GraphemeClusterBreakDataV1Marker> + ?Sized,

A version of Self::new_auto that uses custom data provided by a DataProvider.

📚 Help choosing a constructor

⚠️ The bounds on provider may change over time, including in SemVer minor releases.

pub fn new_lstm() -> Self

Constructs a WordSegmenter with an invariant locale and compiled LSTM data for complex scripts (Burmese, Khmer, Lao, and Thai).

The LSTM, or Long Term Short Memory, is a machine learning model. It is smaller than the full dictionary but more expensive during segmentation (inference).

Warning: there is not currently an LSTM model for Chinese or Japanese, so the WordSegmenter created by this function will have unexpected behavior in spans of those scripts.

✨ Enabled with the compiled_data and lstm Cargo features.

📚 Help choosing a constructor

Examples

Behavior with complex scripts:

use icu::segmenter::WordSegmenter;

let th_str = "ทุกสองสัปดาห์";
let ja_str = "こんにちは世界";

let segmenter = WordSegmenter::new_lstm();

let th_bps = segmenter.segment_str(th_str).collect::<Vec<_>>();
let ja_bps = segmenter.segment_str(ja_str).collect::<Vec<_>>();

assert_eq!(th_bps, [0, 9, 18, 39]);

// Note: We aren't able to find a suitable breakpoint in Chinese/Japanese.
assert_eq!(ja_bps, [0, 21]);

pub fn try_new_lstm_with_any_provider( provider: &(impl AnyProvider + ?Sized), ) -> Result<Self, SegmenterError>

A version of Self::new_lstm that uses custom data provided by an AnyProvider.

📚 Help choosing a constructor

pub fn try_new_lstm_unstable<D>(provider: &D) -> Result<Self, SegmenterError>

where D: DataProvider<WordBreakDataV1Marker> + DataProvider<LstmForWordLineAutoV1Marker> + DataProvider<GraphemeClusterBreakDataV1Marker> + ?Sized,

A version of Self::new_lstm that uses custom data provided by a DataProvider.

📚 Help choosing a constructor

⚠️ The bounds on provider may change over time, including in SemVer minor releases.

pub fn new_dictionary() -> Self

Construct a WordSegmenter with an invariant locale and compiled dictionary data for complex scripts (Chinese, Japanese, Khmer, Lao, Myanmar, and Thai).

The dictionary model uses a list of words to determine appropriate breakpoints. It is faster than the LSTM model but requires more data.

✨ Enabled with the compiled_data Cargo feature.

📚 Help choosing a constructor

Examples

Behavior with complex scripts:

use icu::segmenter::WordSegmenter;

let th_str = "ทุกสองสัปดาห์";
let ja_str = "こんにちは世界";

let segmenter = WordSegmenter::new_dictionary();

let th_bps = segmenter.segment_str(th_str).collect::<Vec<_>>();
let ja_bps = segmenter.segment_str(ja_str).collect::<Vec<_>>();

assert_eq!(th_bps, [0, 9, 18, 39]);
assert_eq!(ja_bps, [0, 15, 21]);

pub fn try_new_dictionary_with_any_provider( provider: &(impl AnyProvider + ?Sized), ) -> Result<Self, SegmenterError>

A version of Self::new_dictionary that uses custom data provided by an AnyProvider.

📚 Help choosing a constructor

pub fn try_new_dictionary_unstable<D>( provider: &D, ) -> Result<Self, SegmenterError>

where D: DataProvider<WordBreakDataV1Marker> + DataProvider<DictionaryForWordOnlyAutoV1Marker> + DataProvider<DictionaryForWordLineExtendedV1Marker> + DataProvider<GraphemeClusterBreakDataV1Marker> + ?Sized,

A version of Self::new_dictionary that uses custom data provided by a DataProvider.

📚 Help choosing a constructor

⚠️ The bounds on provider may change over time, including in SemVer minor releases.

pub fn segment_str<'l, 's>( &'l self, input: &'s str, ) -> WordBreakIteratorUtf8<'l, 's>

Creates a word break iterator for an str (a UTF-8 string).

There are always breakpoints at 0 and the string length, or only at 0 for the empty string.

pub fn segment_utf8<'l, 's>( &'l self, input: &'s [u8], ) -> WordBreakIteratorPotentiallyIllFormedUtf8<'l, 's>

Creates a word break iterator for a potentially ill-formed UTF8 string

Invalid characters are treated as REPLACEMENT CHARACTER

There are always breakpoints at 0 and the string length, or only at 0 for the empty string.

pub fn segment_latin1<'l, 's>( &'l self, input: &'s [u8], ) -> WordBreakIteratorLatin1<'l, 's>

Creates a word break iterator for a Latin-1 (8-bit) string.

There are always breakpoints at 0 and the string length, or only at 0 for the empty string.

pub fn segment_utf16<'l, 's>( &'l self, input: &'s [u16], ) -> WordBreakIteratorUtf16<'l, 's>

Creates a word break iterator for a UTF-16 string.

There are always breakpoints at 0 and the string length, or only at 0 for the empty string.

Trait Implementations

impl Debug for WordSegmenter

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.