chore(deps): update module github.com/pemistahl/lingua-go to v1.4.0 #129
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This PR contains the following updates:
v1.0.5
->v1.4.0
Release Notes
pemistahl/lingua-go (github.com/pemistahl/lingua-go)
v1.4.0
: Lingua 1.4.0Compare Source
Features
GetIsoCode639_1FromValue()
andGetIsoCode639_3FromValue()
have been introduced to return the properIsoCode639_1
andIsoCode639_3
for a given name string. (#44)Changes
GetLanguageFromIsoCode639_1()
andGetLanguageFromIsoCode639_3()
now correctly returnUnknown
instead of-1
if a language cannot be found for the given iso code. (#44)Bug Fixes
LanguageDetector.DetectMultipleLanguagesOf()
returned wrong values for start and end indices for texts consisting of only a single word. This has been fixed. (#43)v1.3.4
: Lingua 1.3.4Compare Source
Bug Fixes
v1.3.3
: Lingua 1.3.3Compare Source
Bug Fixes
v1.3.2
: Lingua 1.3.2Compare Source
Improvements
v1.3.1
: Lingua 1.3.1Compare Source
Bug Fixes
v1.3.0
: Lingua 1.3.0Compare Source
Improvements
v1.2.2
: Lingua 1.2.2Compare Source
Bug Fixes
LanguageDetector.DetectMultipleLanguagesOf()
caused an index error. This has been fixed.v1.2.1
: Lingua 1.2.1Compare Source
Bug Fixes
go.mod
file caused errors when trying to download the library via thego get
command. This has been fixed. Thanks to @BenStigsen for the pointer. (#23)v1.2.0
: Lingua 1.2.0Compare Source
Features
LanguageDetector.DetectMultipleLanguagesOf()
has been introduced. It allows to detect multiple languages in mixed-language text. (#9)v1.1.1
: Lingua 1.1.1Compare Source
Documentation
v1.1.0
: Lingua 1.1.0Compare Source
Features
The new method
LanguageDetectorBuilder.WithLowAccuracyMode()
has been introduced. By activating it, detection accuracy for short text is reduced in favor of a smaller memory footprint and faster detection performance. (#17)The new method
LanguageDetector.ComputeLanguageConfidence()
has been introduced. It allows to retrieve the confidence value for one specific language only, given the input text. (#19)Improvements
The computation of the confidence values has been revised and the min-max normalization algorithm is now applied to the values, making them better comparable by behaving more like real probabilities. (#16)
The language models are now serialized as protocol buffers instead of json. Thanks to this change, they are now loaded into memory twice as fast as before. (#22)
Bug Fixes
Compatibility
Miscellaneous
Configuration
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