Copy-of-Introduction-to-Parse-Trees-and-Syntax-Trees.pptx
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Introduction of syntax tree and parse tree.pptx
Introduction of syntax tree and parse tree.pptxPrathiyathiM Parse tree
A parse tree is an ordered, rooted tree that shows the syntactic structure of a string based on a context-free grammar. It's used in computational linguistics and can be generated for natural language sentences or computer languages.
Syntax tree
A syntax tree is a graphical representation of the abstract syntactic structure of source code in a programming language. It's created by parsing source code, which involves examining the code and breaking it down into its component parts.
Here are some more details about parse trees and syntax trees:
Relation
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Abstraction
A parse tree can be simplified by abstracting unnecessary nodes, which results in an abstract syntax tree. Abstract syntax trees are commonly used in compiler design.
Focus
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Construction
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The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
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What Is a P–N Junction? Learn how P-type and N-type materials join to create a diode.
Depletion Region & Biasing: See how forward and reverse bias shape the voltage–current behavior.
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YSPH VMOC Special Report - Measles Outbreak Southwest US 5-3-2025.pptx
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Copy-of-Introduction-to-Parse-Trees-and-Syntax-Trees.pptx
- 1. Introduction to Parse Trees and Syntax Trees Parse trees and syntax trees are fundamental data structures used in computer science for analyzing and representing the grammatical structure of sentences and code. They provide a visual and hierarchical representation of how language is structured. by Prathiyathi M
- 2. What is a Parse Tree? Definition A parse tree is a tree-like structure that represents the grammatical structure of a sentence or a code snippet according to a formal grammar. Purpose Parse trees are used in parsing, a process of analyzing a string of symbols to determine its grammatical structure. Key Features Nodes represent grammatical units, and edges represent the hierarchical relationships between them.
- 3. What is a Syntax Tree? Definition A syntax tree is a tree-like structure that represents the syntactic structure of a code snippet according to a programming language's grammar. Purpose Syntax trees are used in compilers and interpreters to analyze and understand the structure of programs. Key Features Nodes represent the syntactic elements of the program, and edges represent the hierarchical relationships between them.
- 4. Differences between Parse Trees and Syntax Trees Feature Parse Tree Syntax Tree Focus Grammatical structure of sentences Syntactic structure of code Grammar Natural language grammar Programming language grammar Nodes Grammatical units (e.g., noun phrase, verb phrase) Syntactic elements (e.g., variables, operators)
- 5. Constructing a Parse Tree Step 1 Start with the sentence as the root node. Step 2 Break down the sentence into its constituent parts, such as noun phrases and verb phrases. Step 3 Continue breaking down each part until you reach the individual words. Step 4 Label each node with its grammatical category.
- 6. Constructing a Syntax Tree 1 Step 1 Begin with the individual lexical tokens, such as variables, operators, and constants. 2 Step 2 Combine the tokens according to the grammar rules, forming larger syntactic units. 3 Step 3 Continue combining units until you reach the root node, representing the entire code snippet. 4 Step 4 Label each node with its type, such as variable, operator, or expression.
- 7. Applications of Parse Trees and Syntax Trees Natural Language Processing Parse trees are essential for understanding the grammatical structure of sentences, enabling tasks like machine translation and sentiment analysis. Compilers and Interpreters Syntax trees are crucial for analyzing and understanding the structure of code, enabling tasks like code optimization and error detection. Search Engines Parse trees are used to understand the meaning of queries and retrieve relevant results from a database.
- 8. Conclusion and Key Takeaways 1 Parse Trees Analyze the grammatical structure of sentences, essential for natural language processing tasks. 2 Syntax Trees Represent the syntactic structure of code, crucial for compilers and interpreters. 3 Applications Parse trees and syntax trees are widely used in computer science, enabling tasks like machine translation, code optimization, and search engines.