Concept
Incremental parsing is a technique in computational linguistics and computer science where input is processed piece-by-piece rather than all at once, allowing for more efficient analysis and real-time feedback. This approach is particularly useful in environments where input data is continuously flowing or subject to frequent updates, such as interactive programming environments or streaming data applications.
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Concept
Syntax analysis, also known as parsing, is the process of analyzing a sequence of tokens to determine its grammatical structure with respect to a given formal grammar. It is a crucial step in compiling, as it transforms the linear sequence of tokens into a hierarchical structure, often represented as a parse tree, which is easier for further processing such as semantic analysis and code generation.
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Real-time systems are computing systems that must process and respond to inputs within a strict time frame, often in environments where timing is critical for functionality or safety. They are essential in applications such as embedded systems, industrial control, and telecommunications, where delays can lead to system failure or hazards.
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Streaming data refers to the continuous flow of data generated by various sources, which is processed in real-time or near real-time to enable timely decision-making and insights. This approach is crucial for applications requiring immediate data processing, such as financial trading, IoT devices, and real-time analytics in various industries.
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Error recovery is a critical process in computing and communication systems that involves detecting, diagnosing, and correcting errors to ensure system reliability and data integrity. Effective Error recovery mechanisms can minimize downtime and prevent data loss, enhancing overall system performance and user experience.
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Dynamic programming is an optimization strategy used to solve complex problems by breaking them down into simpler subproblems, storing the results of these subproblems to avoid redundant computations. It is particularly effective for problems exhibiting overlapping subproblems and optimal substructure properties, such as the Fibonacci sequence or the shortest path in a graph.
Concept
Context-Free Grammars (CFGs) are formal systems used to define the syntax of programming languages and natural languages, allowing the generation of strings from a set of production rules. They are essential in the design of compilers and interpreters, enabling the parsing and analysis of language constructs through a hierarchy of grammatical structures.
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Lexical analysis is the process of converting a sequence of characters into a sequence of tokens, which are the meaningful units of code used by a compiler or interpreter. It serves as the first phase of a compiler, facilitating syntax analysis by organizing the input into a structured format.
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Garden path sentences are grammatically correct sentences that initially lead the reader to interpret them incorrectly, requiring reanalysis to understand their true meaning. They demonstrate the complexity of sentence processing in human language, highlighting the challenges of parsing and ambiguity resolution.
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