Expand description
This crate provides a library for recognizing, parsing and transcribing into digits (base 10) numbers expressed in natural language.
This top level documentation describes the usage of the library with the builtin languages and provides some simple examples.
For more specific details on how to add support for new natural languages (and contributing to the builtin set!), please see the documentation of the lang
module.
§Usage
This crate is on crates.io and can be
used by adding text2num
to your dependencies in your project’s Cargo.toml
.
[dependencies]
text2num = "1"
§Example: check some string is a valid number in a given language.
For convenience, the builtin languages are encapsulated into the Language
type so
you can easily switch languages at runtime.
Each builtin language support regional varieties automatically, so you don’t need to specify a region.
The language interpretors are stateless so you can reuse and share them.
use text2num::{Language, text2digits};
let en = Language::english();
assert!(
text2digits("one hundred fifty-seven", &en).is_ok()
);
assert!(text2digits("twenty twelve", &en).is_err());
Of course, you can get the base 10 digit representation too:
use text2num::{Language, text2digits};
let es = Language::spanish();
let utterance = "ochenta y cinco";
match text2digits(utterance, &es) {
Ok(repr) => println!("'{}' means {} in Spanish", utterance, repr),
Err(_) => println!("'{}' is not a number in Spanish", utterance)
}
When run, the above code should print 'ochenta y cinco' means 85 in Spanish
on the standard output.
If you don’t need to dynamically switch languages, you can directly use the appropriate interpretor instead of
the Language
type:
use text2num::lang::English;
use text2num::text2digits;
let en = English::new();
assert!(text2digits("fifty-five", &en).is_ok());
§Example: find and replace numbers in a natural speech string.
Most often, you just want to rewrite a string containing natural speech so that the numbers it contains (cardinals, ordinals, decimal numbers) appear in digit (base 10) form instead.
As isolated smaller numbers may be easier to read in plain text, you can specify a threshold under which isolated simple cardinals and ordinals are not replaced.
use text2num::{Language, replace_numbers_in_text};
let en = Language::english();
let sentence = "Let me show you two things: first, isolated numbers are treated differently than groups like one, two, three. And then, that decimal numbers like three point one four one five are well understood.";
assert_eq!(
replace_numbers_in_text(sentence, &en, 10.0),
"Let me show you two things: first, isolated numbers are treated differently than groups like 1, 2, 3. And then, that decimal numbers like 3.1415 are well understood."
);
assert_eq!(
replace_numbers_in_text(sentence, &en, 0.0),
"Let me show you 2 things: 1st, isolated numbers are treated differently than groups like 1, 2, 3. And then, that decimal numbers like 3.1415 are well understood."
);
§More advanced usage: operations on token streams.
Among the real life applications of this library are the post-processing of Automatic Speech Recognition (ASR) output or taking part in a Natural Language Processing (NLP) pipeline.
In those cases, you’ll probably get a stream of tokens of a certain type instead of a string.
The text2num
library can process those streams as long as the token type implements the Token trait
.
§Example: substitutions in a token stream.
The Token
trait is already implemented for the [BasicToken
] type, so we can show a simple example with String
streams:
use text2num::{replace_numbers_in_stream, Language, Token, Replace};
let en = Language::english();
struct BareToken(String);
impl Token for &BareToken {
fn text(&self) -> &str {
self.0.as_ref()
}
fn text_lowercase(&self) -> &str {
self.0.as_ref()
}
}
impl Replace for BareToken {
fn replace<I: Iterator<Item = Self>>(_replaced: I, data: String) -> Self {
BareToken(data)
}
}
// Poor man's tokenizer
let stream = "I have two hundreds and twenty dollars in my pocket".split_whitespace().map(|s| BareToken(s.to_string())).collect();
let processed_stream = replace_numbers_in_stream(stream, &en, 10.0);
assert_eq!(
processed_stream.into_iter().map(|t| t.0).collect::<Vec<_>>(),
vec!["I", "have", "220", "dollars", "in", "my", "pocket"]
);
§Example: find numbers in a token stream.
In this more elaborate example, we show how to implement the Token
trait on a typical ASR token type and
how to locate numbers (and their values) in a stream of those tokens.
use text2num::{find_numbers, Language, Token};
struct DecodedWord<'a> {
text: &'a str,
start: u64, // in milliseconds
end: u64
}
impl Token for DecodedWord<'_> {
fn text(&self) -> &str {
self.text
}
fn text_lowercase(&self) -> &str {
self.text
}
fn nt_separated(&self, previous: &Self) -> bool {
// if there is a voice pause of more than 100ms between words, it is worth a punctuation
self.start - previous.end > 100
}
fn not_a_number_part(&self) -> bool {
false
}
}
// Simulate ASR output
let stream = [
DecodedWord{ text: "i", start: 0, end: 100},
DecodedWord{ text: "have", start: 100, end: 200},
DecodedWord{ text: "twenty", start: 200, end: 300},
DecodedWord{ text: "four", start: 300, end: 400},
DecodedWord{ text: "dollars", start: 410, end: 800},
DecodedWord{ text: "in", start: 800, end: 900},
DecodedWord{ text: "my", start: 900, end: 1000},
DecodedWord{ text: "pocket", start: 1010, end: 1410},
].into_iter();
// Process
let en = Language::english();
let occurences = find_numbers(stream, &en, 10.0);
assert_eq!(occurences.len(), 1);
let found = &occurences[0];
// Match position in the stream
assert_eq!(found.start, 2);
assert_eq!(found.end, 4);
// Match values
assert_eq!(found.text, "24");
assert_eq!(found.value, 24.0);
assert!(!found.is_ordinal);
Re-exports§
pub use lang::BasicAnnotate;
pub use lang::LangInterpretor;
pub use lang::Language;
pub use word_to_digit::find_numbers;
pub use word_to_digit::find_numbers_iter;
pub use word_to_digit::replace_numbers_in_stream;
pub use word_to_digit::replace_numbers_in_text;
pub use word_to_digit::text2digits;
pub use word_to_digit::Occurence;
pub use word_to_digit::Replace;
pub use word_to_digit::Token;
Modules§
- DigitBuilder
- Language interpreters and their support data.
- Top level API.
Functions§
- Get an interpreter for the language represented by the
language_code
ISO code.