Thinknowlogy is grammar-based software, designed to utilize the Natural Laws of Intelligence in grammar, in order to create intelligence through natural language in software. This is demonstrated by programming in natural language, reasoning in natural language and drawing conclusions (more advanced than scientific solutions), making assumptions (with self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts in the knowledge. It builds semantics autonomously (with no vocabularies or words lists), detecting some cases of semantic ambiguity. It is multi-grammar, proving that Natural Laws of Intelligence are universal.
The Language Detection Library for Java is a Java library to detect the natural languages in which texts are written. This task is also known as "language identification", "language guessing", and "language recognition". It has over 99% precision for more than 40 languages. The supported languages are Afrikaans, Arabic, Bulgarian, Bengali, Czech, German, Greek, English, Spanish, Persian, Finnish, French, Gujarati, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Macedonian, Malayalam, Marathi, Nepali, Dutch, Punjabi, Polish, Portuguese, Romanian, Russian, Slovak, Somali, Albanian, Swedish, Swahili, Tamil, Telugu, Thai, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, and Simplified/Traditional Chinese.
The AlchemyAPI Android SDK enables real-time semantic analysis of text, HTML, or Internet-hosted Web page content. The SDK provides mechanisms to extract Concepts, Named Entities, Keywords and Tags, Categories, and clean HTML into text, and even detects languages. It can analyze text in eight different languages: English, French, German, Italian, Portuguese, Russian, Spanish, and Swedish. Example code and a demo application are included to help get you started.
Colossal Mind Language Detector detects a user's preferred language. It parses the HTTP Accept-Language header and determines the most suitable language for the user from a list of supported languages. The detected language can fallback to a language associated with the user's country in case the Accept-Language header is not sent by the browser. The detected language can be stored in a cookie to avoid needing to detect the language again in subsequent requests.