International Journal of Research in Engineering, Science and Management Volume-2, Issue-5, May-2019 www.ijresm.com | ISSN (Online): 2581-5792 316 Abstract: The paper “Scopes and Issues in Green Compiler” focuses on energy conservation as there has been a high increase in energy consumption due to the emergence of cloud computing. Cloud computing use large datacenters which continuously consume energy at both the hardware and software level. Controlling the energy consumption at the hardware level can be tedious so green compilers are our best chance at controlling energy consumption at the software level. In this paper, some suggestions on how to control the energy consumption are discussed here. In the paper, “Improved Unsupervised Framework for solving Homonym, Synonym, Hyponym and Polysemy Problems from Extracted Keywords and Identify Topics in Meeting Transcripts”, it says that keyword is the important item in a document that provides systematic access to the contents of documents. Keywords can be used for information retrieval and text categorization. In the present system, hyponym, homonym, synonym and polysemy problems were solved by trained keywords from meeting transcripts. In the paper, “Translation of English Algorithm in C program using Syntax Directed Translation Schema”, applications that translate English written algorithm to other programming languages such as C/C++ is very useful for individuals who are interested in the programming field but are unable to code due to lack of knowledge in programming languages. This translation has been achieved by implementing the rule based approach that uses the syntax directed translation schema. The input given to the system are algorithms that are written in regular English language and the output generated will be in the respective programming language. Keywords: Green Complier, Solving Synonym, Homonym, Hyponym, Polysemy 1. Introduction In recent years cloud computing has sky rocketed worldwide and changed the way the world approaches computing. However, Clouds consume high measures of energy due to their datacenters hosting many services and applications. Global warming has become an issue in recent years with use the use of cloud computing adding on to the detrimental effect of global warming. So in order to minimize the pernicious effect of technology, green compilers have been suggested. It is seen that replacing high capacity machines with lower capacity machines would be beneficial as high capacity machines don’t utilize resources completely. But this method doesn’t yield a satisfactory decrease in energy consumption. This is where green compilers come into the picture. Energy optimization through the use of green computing can help reduce consumption of energy. It is said that query expansion in information retrieval will help solve the synonym problem. By mapping a vector space model to a compact space with mathematical tool by Latent Semantic Analysis (LSA) we can solve dimension reduction and synonym problem. The general framework is to gather a large amount of data set, and then construct a model on a small set of data and a rich set of hidden topics which have been found from the universal data set. Semantic topics hidden in the documents are emphasised and guided by the topics inferred from a global data collection in order to handle synonym problem. Natural Language Processing is usually approached by limiting the user to a compressed and low level English, but the disadvantage of this approach is that although a working code is produced, the natural language that follows is cumbersome. The two major factors to be achieved in a translation system are translation accuracy as well as speed. When it comes to accuracy, smart tools to handle translation standard that include sentences, expressions, phrases etc., need to be developed. In order to obtain an accurate parse and hence a translated output the grammar must be optimised with a vision. In terms of speed, systematic use of corpus analysis, systematic parsing algorithm and design of sufficiently correct data structure are required, which are implemented accurately by the Bison LALR and A Review on Scopes and Issues in Green Complier, Solving Synonym, Homonym, Hyponym and Polysemy Problems and Translation of English Algorithm in C Program using SDT Sini Anna Alex 1 , Rithika Bellad 2 , Ankita Sumod 3 , Soumya P. Sawkar 4 1 Professor, Dept. of Computer Science and Engg., M. S. Ramaiah Institute of Technology, Bengaluru, India 2,3,4 Student, Dept. of Computer Science and Engg., M. S. Ramaiah Institute of Technology, Bengaluru, India