This document summarizes semantic analysis in compiler design. Semantic analysis computes additional meaning from a program by adding information to the symbol table and performing type checking. Syntax directed translations relate a program's meaning to its syntactic structure using attribute grammars. Attribute grammars assign attributes to grammar symbols and compute attribute values using semantic rules associated with grammar productions. Semantic rules are evaluated in a bottom-up manner on the parse tree to perform tasks like code generation and semantic checking.
In this slide you will explore more about how to make derivations ,design parse tree ,what is ambiguity and how to remove ambiguity ,left recursion ,left factoring .
presentation slides compiler construction
SDT is done by attaching rules to productions in a grammar
Every node of the abstract syntax tree is attached with certain attribute set
Example :
E---- E+T {E.val=E.val+T.val}
In this slide you will explore more about how to make derivations ,design parse tree ,what is ambiguity and how to remove ambiguity ,left recursion ,left factoring .
presentation slides compiler construction
SDT is done by attaching rules to productions in a grammar
Every node of the abstract syntax tree is attached with certain attribute set
Example :
E---- E+T {E.val=E.val+T.val}
Lexical Analysis, Tokens, Patterns, Lexemes, Example pattern, Stages of a Lexical Analyzer, Regular expressions to the lexical analysis, Implementation of Lexical Analyzer, Lexical analyzer: use as generator.
Semantic analysis is a pass by a compiler that adds semantic information to the parse tree and performs certain checks based on this information. It logically follows the parsing phase, in which the parse tree is generated, and logically precedes the code generation phase, in which executable code is generated.
This is the presentation on Syntactic Analysis in NLP.It includes topics like Introduction to parsing, Basic parsing strategies, Top-down parsing, Bottom-up
parsing, Dynamic programming – CYK parser, Issues in basic parsing methods, Earley algorithm, Parsing
using Probabilistic Context Free Grammars.
The purpose of types:
To define what the program should do.
e.g. read an array of integers and return a double
To guarantee that the program is meaningful.
that it does not add a string to an integer
that variables are declared before they are used
To document the programmer's intentions.
better than comments, which are not checked by the compiler
To optimize the use of hardware.
reserve the minimal amount of memory, but not more
use the most appropriate machine instructions.
Lexical Analysis, Tokens, Patterns, Lexemes, Example pattern, Stages of a Lexical Analyzer, Regular expressions to the lexical analysis, Implementation of Lexical Analyzer, Lexical analyzer: use as generator.
Semantic analysis is a pass by a compiler that adds semantic information to the parse tree and performs certain checks based on this information. It logically follows the parsing phase, in which the parse tree is generated, and logically precedes the code generation phase, in which executable code is generated.
This is the presentation on Syntactic Analysis in NLP.It includes topics like Introduction to parsing, Basic parsing strategies, Top-down parsing, Bottom-up
parsing, Dynamic programming – CYK parser, Issues in basic parsing methods, Earley algorithm, Parsing
using Probabilistic Context Free Grammars.
The purpose of types:
To define what the program should do.
e.g. read an array of integers and return a double
To guarantee that the program is meaningful.
that it does not add a string to an integer
that variables are declared before they are used
To document the programmer's intentions.
better than comments, which are not checked by the compiler
To optimize the use of hardware.
reserve the minimal amount of memory, but not more
use the most appropriate machine instructions.
Semantic Analysis of User Browsing Patterns in the Web of Data @USEWOD, WWW2012juliahoxha
Enabling Semantic Analysis of User Browsing Patterns in the Web of Data
USEWOD Workshop, @WWW2012
A useful step towards better interpretation and analysis of
the usage patterns is to formalize the semantics of the resources
that users are accessing in the Web. We focus on this problem and present an approach for the semantic formalization of usage logs, which lays the basis for effective
techniques of querying expressive usage patterns.
We also present a query answering approach, which is useful to find in the logs expressive patterns of usage behavior via formulation of semantic and temporal-based constraints.
We have processed over 30 thousand user browsing sessions
extracted from usage logs of DBPedia and Semantic Web
Dog Food. The logs are semantically formalized using respective
domain ontologies and RDF representations of the
Web resources being accessed. We show the effectiveness of our approach through experimental results, providing in this way an exploratory analysis of the way users browse the Web of Data.
L14 Semantic analysis This process is crucial in various applications such a...CodingChamp1
Semantic analysis involves understanding the meaning of words and phrases in natural language text. It utilizes linguistic principles and algorithms to extract context, relationships, and intent from textual data. This process is crucial in various applications such as natural language processing, search engines, sentiment analysis, and machine translation.
Distributed contention based mac protocol for cognitive radioIffat Anjum
Introduction
System Model
DC-MAC Design
Network Initialization
DC-MAC Working
Data Transfer on Home Channel
Data Transfer on a Foreign Channel
Performance Analysis
Conclusion
References
Pnp mac preemptive slot allocation and non preemptive transmission for provid...Iffat Anjum
Contribution.
Problem Definition.
Overview of PNP-MAC.
Features of PNP-MAC.
Priority Classification.
Fast, Preemptive DTS allocation.
Non-Preemptive transmission.
Prioritized CCA in ETS.
Prioritized random back-off in CAP.
Performance Evaluation.
A reinforcement learning based routing protocol with qo s support for biomedi...Iffat Anjum
Contribution.
Problem Definition.
Related works.
Biomedical Sensor Networks
Reinforcement Learning
Q-learning
Design of RL-QRP
Local Information Exchange
Q-learning Implementation
Learning-Based Routing Algorithm
Performance Evaluation.
Limitation.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2. • Semantic Analysis computes additional information related to the
meaning of the program once the syntactic structure is known.
• In typed languages as C, semantic analysis involves
• adding information to the symbol table and
• performing type checking.
• The information to be computed is beyond the capabilities of
standard parsing techniques, therefore it is not regarded as
syntax.
• As for Lexical and Syntax analysis, also for Semantic Analysis we need
both a Representation Formalism and an Implementation
Mechanism.
3. • The Principle of Syntax Directed Translation states that
the meaning of an input sentence is related to its syntactic
structure, i.e., to its Parse-Tree.
• By Syntax Directed Translations we indicate those
formalisms for specifying translations for programming
language constructs guided by context-free grammars.
– We associate Attributes to the grammar symbols
representing the language constructs.
– Values for attributes are computed by Semantic Rules
associated with grammar productions.
4. • Evaluation of Semantic Rules may:
– Generate Code;
– Insert information into the Symbol Table;
– Perform Semantic Check;
– Issue error messages; etc.
• There are two notations for attaching semantic rules:
1. Syntax Directed Definitions.High-level specification hiding many
implementation details (also called Attribute Grammars).
2. Translation Schemes. More implementation oriented: Indicate the order
in which semantic rules are to be evaluated.
5. • Syntax Directed Definitions are a generalization of context-free
grammars in which:
1. Grammar symbols have an associated set of Attributes;
2. Productions are associated with Semantic Rules for computing
the values of attributes.
• Such formalism generates Annotated Parse-Trees where each node of
the tree is a record with a field for each attribute (e.g., X.a indicates the
attribute a of the grammar symbolX).
6. • The value of an attribute of a grammar symbol at a given parse-
tree node is defined by a semantic rule associated with the
production used at that node.
• We distinguish between two kinds of attributes:
1. Synthesized Attributes.They are computed from the
values of the attributes of the children nodes.
2. Inherited Attributes. They are computed from the
values of the attributes of both the siblings and the
parent nodes.
7. • Each production, A → α, is associated with a set of semantic
rules:
b : = f (c1, c2, . . . , ck), where f is a function and either
1. b is a synthesized attribute of A, and c1, c2, . . . , ck are attributes
of the grammar symbols of the production, or
2. b is an inherited attribute of a grammar symbol in α, and c1, c2, . .
. , ck are attributes of grammar symbols in α or attributes of A.
• Note. Terminal symbols are assumed to have synthesized attributes
supplied by the lexical analyzer.
• Procedure calls (e.g. print in the next slide) define values of
Dummy synthesized attributes of the non terminal on the left-
hand side of the production.
8. • Example. Let us consider the Grammar for arithmetic expressions.
The Syntax Directed Definition associates to each non terminal a
synthesized attribute called val.
PRODUCTION
L → En
E → E1 + T
E → T
T → T1 ∗F
T → F
F → ( E )
F → digit
SEMANTIC RULE
print(E.val)
E.val : = E1.val + T.val
E.val : = T.val
T.val : = T1.val ∗F.val
T.val : = F.val
F.val : = E.val
F.val :=digit.lexval
9. Definition. An S-Attributed Definition is a Syntax Directed
Definition that uses only synthesized attributes.
• Evaluation Order.Semantic rules in a S-Attributed
Definition can be evaluated by a bottom-up, or
PostOrder, traversal of the parse-tree.
10. • Example. The above arithmetic grammar is an example of
an S-Attributed Definition. The annotated parse-tree for the
input 3*5+4n is:
E.val = 19 n
+ T.val = 4E.val = 15
T.val = 15
T.val = 3 *
F.val = 4
digit.lexval= 4F.val = 5
digit.lexval= 5F.val = 3
digit.lexval= 3
L