Update version and release notes

Author: pemistahl

README.md

@@ -6,7 +6,7 @@
 [![codecov](https://codecov.io/gh/pemistahl/lingua-rs/branch/main/graph/badge.svg)](https://codecov.io/gh/pemistahl/lingua-rs)
 [![supported languages](https://img.shields.io/badge/supported%20languages-75-green.svg)](#3-which-languages-are-supported)
 ![supported Python versions](https://img.shields.io/badge/Python-%3E%3D%203.10-blue)
-[![pypi](https://img.shields.io/badge/PYPI-v2.1.0-blue)](https://pypi.org/project/lingua-language-detector)
+[![pypi](https://img.shields.io/badge/PYPI-v2.1.1-blue)](https://pypi.org/project/lingua-language-detector)
 [![license](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://www.apache.org/licenses/LICENSE-2.0)
 </div>
 
@@ -559,12 +559,8 @@ or unlikely to occur.
 
 If you build a `LanguageDetector` from one language only it will operate in single-language mode.
 This means the detector will try to find out whether a given text has been written in the given language or not.
-If not, then `None` will be returned, otherwise the given language.
-
-In single-language mode, the detector decides based on a set of unique and most common n-grams which
-have been collected beforehand for every supported language. It turns out that unique and most common
-n-grams help to improve accuracy in low accuracy mode, so they are used for that mode as well. In high
-accuracy mode, however, they do not make a significant difference, that's why they are left out.
+If not, then `None` will be returned, otherwise the given language. In single-language mode, the detector decides based on a set of unique and most common n-grams which
+have been collected beforehand for every supported language.
 
 ### 11.7 Detection of multiple languages in mixed-language texts
 

RELEASE_NOTES.md

@@ -1,3 +1,10 @@
+## Lingua 2.1.1 (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 2.1.0 (released on 20 Mar 2025)
 
 ### Features

pyproject.toml

@@ -15,7 +15,7 @@
 
 [tool.poetry]
 name = "lingua-language-detector"
-version = "2.1.0"
+version = "2.1.1"
 description = "An accurate natural language detection library, suitable for long and short text alike"
 authors = ["Peter M. Stahl <pemistahl@gmail.com>"]
 license = "Apache-2.0"