002.2 : Text comprehension

AI language comprehension and reinvention is a broad topic that covers various aspects of how artificial intelligence can understand and generate natural language. Some of the subtopics are: - Text generation: the process of creating natural language text from some input, such as a sentence, a partial sentence, or a keyword. Text generation can be used for various purposes, such as writing stories, generating captions, summarizing texts, or completing sentences. Text generation is powered by artificial intelligence models that learn from large amounts of text data and can produce coherent and relevant texts. Some examples of text generation tools are DeepAI¹, LingoJam², and InferKit³. - Reading comprehension: the process of understanding the meaning of a given text and answering questions about it. Reading comprehension is an important AI challenge that seeks to demonstrate a computer's understanding of language. Reading comprehension can be used for various applications, such as information retrieval, question answering, education, or dialogue systems. Reading comprehension is powered by artificial intelligence models that learn from labeled data consisting of texts and questions with corresponding answers. Some examples of reading comprehension tools are IBM Watson, Google Natural Questions, and Microsoft SQuAD.

002.3 : Text Translation and Reinvention

- Language translation: the process of converting text or speech from one language to another while preserving the meaning and style. Language translation is an important AI task that enables cross-lingual communication and information access. Language translation can be used for various purposes, such as business, education, entertainment, or social media. Language translation is powered by artificial intelligence models that learn from parallel data consisting of texts or speeches in different languages. Some examples of language translation tools are Google Translate, Microsoft Translator, and Facebook M2M-100. - Language reinvention: the process of creating new languages or modifying existing ones using artificial intelligence. Language reinvention is an emerging AI field that explores the possibilities and limitations of human language and communication. Language reinvention can be used for various purposes, such as artistic expression, linguistic experimentation, or encryption. Language reinvention is powered by artificial intelligence models that learn from existing languages or generate novel languages based on some criteria. Some examples of language reinvention tools are Colorless green ideas sleep furiously, Robo-writer, and GPT-3.