Sourced from lingua-language-detector's releases.

Lingua 1.7.2

Bug Fixes

• In low accuracy mode, the language detector could produce random results for certain kinds of text. This has been fixed.

Lingua 1.7.1

Bug Fixes

• The library failed to build when only a subset of language features was selected when declaring the dependency. This has been fixed. (#452)

Lingua 1.7.0

Features

• This release introduces an absolute confidence metric based on unique and most common ngrams for each supported language. It allows to build a language detector from a single language only. Such a detector serves as a binary classifier, telling you whether some text is written in your selected language or not. (#413)

Improvements

• The new absolute confidence metric helps to improve accuracy in low accuracy mode. The mean of average detection accuracy (single words, word pairs and sentences combined) increases from 77% to 80%.

• The rule-based algorithm for the recognition of Japanese texts has been improved. Texts including both Japanese and Chinese characters are now classified more often correctly as Japanese instead of Chinese. (#406)

• The characters Щщ are now correctly identified as possible indicators for the Ukrainian language, leading to slightly higher accuracy when identifying Ukrainian texts.

• The accuracy_reports binary now supports the arguments --detectors and --languages, allowing to select only a specific subset of detector / language combinations.

Bug Fixes

• Text spans created by LanguageDetector.detect_multiple_languages_of() sometimes skipped characters in the last span. This has been fixed.

• The tokenization of texts written in the Devanagari alphabet was flawed. This has been fixed, leading to better detection accuracy for Hindi and Marathi.

Miscellaneous

• All dependencies have been updated to their latest versions.

Lingua 1.6.2

Improvements

• Type stubs for the Python bindings are now available, allowing better static code analysis, better code completion in supported IDEs and easier understanding of the library's API.

Bug Fixes

• The method LanguageDetector.detect_multiple_languages_of still returned character indices instead of byte indices when only a single DetectionResult was produced. This has been fixed.

Lingua 1.6.1

Bug Fixes

• The method LanguageDetector.detect_multiple_languages_of returns byte indices. For creating string slices in Python and JavaScript, character indices are needed but were not provided. This resulted in incorrect DetectionResultpemistahl/lingua-py#192

• Some minor bugs in the WASM module have been fixed to prepare the first release of Lingua for JavaScript.

... (truncated)

Sourced from lingua-language-detector's changelog.

Lingua 1.7.2 (released on 27 May 2025)

Bug Fixes

• In low accuracy mode, the language detector could produce random results for certain kinds of text. This has been fixed.

Lingua 1.7.1 (released on 21 Mar 2025)

Bug Fixes

• The library failed to build when only a subset of language features was selected when declaring the dependency. This has been fixed. (#452)

Lingua 1.7.0 (released on 20 Mar 2025)

Features

• This release introduces an absolute confidence metric based on unique and most common ngrams for each supported language. It allows to build a language detector from a single language only. Such a detector serves as a binary classifier, telling you whether some text is written in your selected language or not. (#413)

Improvements

• The new absolute confidence metric helps to improve accuracy in low accuracy mode. The mean of average detection accuracy (single words, word pairs and sentences combined) increases from 77% to 80%.

• The rule-based algorithm for the recognition of Japanese texts has been improved. Texts including both Japanese and Chinese characters are now classified more often correctly as Japanese instead of Chinese. (#406)

• The characters Щщ are now correctly identified as possible indicators for the Ukrainian language, leading to slightly higher accuracy when identifying Ukrainian texts.

• The accuracy_reports binary now supports the arguments --detectors and --languages, allowing to select only a specific subset of detector / language combinations.

Bug Fixes

• Text spans created by LanguageDetector.detect_multiple_languages_of() sometimes skipped characters in the last span. This has been fixed.

• The tokenization of texts written in the Devanagari alphabet was flawed. This has been fixed, leading to better detection accuracy for Hindi and Marathi.

Miscellaneous

... (truncated)

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