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This Paper reveals the information about Deep Neural Network (DNN) and concept of deep learning in field of natural language processing i.e. machine translation. Now day's DNN is playing major role in machine leaning technics. Recursive recurrent neural network (R2NN) is a best technic for machine learning. It is the combination of recurrent neural network and recursive neural network (such as Recursive...
Earlier we have presented an outline of the architecture of Preksha — a Hindi text visualizer — system for visualizing Hindi text. Preksha is an automatic text visulizer (ATV) for free-word order Hindi language. It consists of a computational process of understanding natural language, and scene generation by appropriate placement of objects in visual output using spatial relations. This paper discusses...
The main objective of this research is to give a cognitive support to a person for understanding Hindi language text using automatic text visualization (ATV). ATV is especially useful for the persons with learning disabilities (LD). This paper focuses on the background and complexity of the problem. The impact on comprehension through visualized text over reading the text is discussed. The architecture...
The rapid growth of digital data storage of medical or health, social media, education and many more in the world has amplified the demand for big data storage, which requires trillion of files having exabytes of data. This growth in data has put up the key question of how we can effectively manage and find the data in the emergent ocean of information. The upcoming demand for data storage in petabytes...
Text Extraction plays an important role in finding valuable information. As a result of rapid growth of available multimedia documents on web and increasing requirement for information, identification, indexing and retrieval, several research have been done on text extraction. Here, a methodology to build a system for text extraction has been presented that is designed to provide support to the applications...
The motivation behind this work is to explore and pursue benefits of Cognitive Informative and Artificial Intelligence. Computer based Image Analysis and Machine Vision are based on Image Processing Algorithms. Choosing the best concept to comprehend a meaning in natural language generation is one of the tough tasks. A vision system while navigating in an environment should be able to recognize what...
The growing pace of information technology demands fast operation for communication and other related applications. After having a successful Machine Translation System [MTS], it has been felt to optimize the performance of Machine Translation for its real-time uses. The considered MTS is Tree Adjoining Grammar [TAG] based system. An approach has been experimented to use File model instead of Database...
Translation of English documents into Hindi language is becoming an integral part for facilitating communication. The major population of India where 366 million people uses Hindi as primary language, for them providing information in Hindi is an important task the translation of English documents may be manually or automatically. When translation done manually the chances are rare for errors, but...
For the purpose of localization, only textual output is not sufficing the need of Machine Translation unless until it is in a usable format. In Indian scenario, localization as an industry has not been recognized yet which had led to lack of Language Standards leading to varied translation quality. Localization is the process of adapting a product or service to a particular language, culture, and...
Increasingly complex biomedical data from diverse sources demands large storage, efficient software and high performance computing for the data's computationally intensive analysis. Cloud technology provides flexible storage and data processing capacity to aggregate and analyze complex data; facilitating knowledge sharing and integration from different disciplines in a collaborative research environment...
Machine Translation System (MTS) that uses the Tree Adjoining Grammar (TAG) is considered. To improve the response time of our online MTS, we propose the use of a translation memory (TM). The integrated architecture of MTS with TM is outlined. Several examples of language dependent TM tools and translation process are given. To further speedup the translation process, we port MTS on a computing cluster...
We outline the design of a visualizer, named Vishit, for texts in the Hindi language. The Hindi language is lingua franca in many states of India where people speak different languages. The visualized text serves as a universal language where seamless communication is needed by many people who speak different languages and have different cultures. Vishit consists of the following three major processing...
In this paper we consider a machine translation (MT) system based on the tree adjoining grammar (TAG) formalism. We have successfully carried out sentence level parallelization and its parallel implementations on a multicore machine with varying number of cores and a computing cluster with multicore nodes. Since our code is in Java, we use MPJ Express for parallel implementations. We have carried...
The main objective of this paper is to introduce a high performance natural language processing (NLP) service to fulfill the needs of researchers and users in the area of natural language computing. We consider various NLP components developed at Applied Artificial Group of C-DAC Pune, and carry out parallelization on the GARUDA grid. We demonstrate that almost linear speedup is achieved with good...
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