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[1] [2] These include translations between high-level and human-readable computer languages such as C++ and Java, intermediate-level languages such as Java bytecode, low-level languages such as the assembly language and machine code, and between similar levels of language on different computing platforms, as well as from any of these to any ...
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
LMC is used to help students understand basic processor functions and memory management. MIX (1968) and MMIX (1999) arecomputer models featured in Donald Knuth's (Art of Computer Programming). The MIX computer is designed for educational purposes, illustrating how a basic machine language operates.
However, complex-script and logographic languages like Chinese or Japanese need more characters than the 256 limit imposed by 8-bit character encodings. Some computers created in the former USSR had native support for the Cyrillic alphabet. The widespread adoption of Unicode, and UTF-8 on the web, resolved most of these historical limitations.
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Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem.