AADHUNIK HINDI KAHANI KA SAMAJSASTRIY ADHYAYAN

Department of Hindi, Cochin University of Science and Technology

SAMAKALEEN HINDI UPANYAS MEIN ITIHASBODH KA VISHLESHAN

Department of Hindi, Cochin University of Science and Technology

ADHUNIK HINDI KAVITHA KI LOKCHETANA KA VISHLESHANATMAK ADHYAYAN

Department of Hindi, Cochin University of Science and Technology

Samakaleen Hindi Upanyasom Mein Visthapitom Ka Yatharth

Dept. of Hindi, Cochin University of Science And Technology

Hindi Kavyabhasha Ka Swaroop Aur Vikas- Eithihasik Sarvekshan

Dept.of Hindi,Cochin University of Science and Technology

Swathantryothar Hindi Natakom Mein Badhalthe Parivarik Sandarbh

Department of Hindi, Cochin University of Science and Technology

Hindi Ka Yathra Sahitya-Rahul Sankrityayan Ke Visesh Sandarbh Mein

Department of Hindi, Cochin University of Science and Technology

Samakaleen Hindi Upanyasom Mein Paristhitic Sajagata Ka Adhyayan

Department of Hindi, Cochin University of Science and Technology

The Aesthetics Of Paul Verlaine And Changampuzha Krishnapillai - A Comparative Perspective

The present study is entitled The Aesthetics of Paul Verlaine and Changampuzha Krishnapillai - a comparative perspective. The purpose of the study is to compare the poetic genius of the French poet Paul Verlaine (1844-1896) and that of the Malayalam poet Changampuzha Krishnapillai (1911-1948), within a descriptive framework. The investigation will hopefully answer the questions- Has Changampuzha been indeed influenced by Verlaine, if so, to what extent? Can the aesthetic appreciation be justified in both poets as illustrated in their works? The comparative methodology of juxtaposing the selected oeuvres of the poets is largely adopted in the study. Since the span of analysis is across national and linguistic borders, the distinguishing as well as exclusive traits of the individual poets will be of much importance in formulating the comparative assumption in this work. The vastly differing geographical, linguistic and cultural milieus of these two poets,-one a national French poet and the other, a regional Indian poet writing in Malayalam prima facie,endow the theme of the dissertation with an innate hue of diversity. Such an ambitious task would naturally entail a renewed research into the dedication of the poets to their muses and their ultimate contributions to poetics. The analysis, while attempting to illuminate from a fresh angle, the amply researched oeuvre of Verlaine and the lesser studied one of Changampuzha, cannot but be aware of the limitations of the task at hand. The present study is the first of its kind on the specific theme of analysis, and is hoped that it would be of relevance since no work has so far been known to have been undertaken on the topic. At a time when the birth centenary celebrations of Changampuzha have just concluded, this study is hoped to assume significance as it would help in isolating the originality of the poet's works, extricating the garb of the French influence. Ultimately, this study aims at creating a wider appreciation of the impact that the French writers have had on Malayalam writers, thus shedding new light on the benign foreign influences that served to enhance the beauty of our cultural heritage

COMBINED FEATURE EXTRACTION TECHNIQUES AND NAIVE BAYES CLASSIFIER FOR SPEECH RECOGNITION

Speech processing and consequent recognition are important areas of Digital Signal Processing since speech allows people to communicate more natu-rally and efficiently. In this work, a speech recognition system is developed for re-cognizing digits in Malayalam. For recognizing speech, features are to be ex-tracted from speech and hence feature extraction method plays an important role in speech recognition. Here, front end processing for extracting the features is per-formed using two wavelet based methods namely Discrete Wavelet Transforms (DWT) and Wavelet Packet Decomposition (WPD). Naive Bayes classifier is used for classification purpose. After classification using Naive Bayes classifier, DWT produced a recognition accuracy of 83.5% and WPD produced an accuracy of 80.7%. This paper is intended to devise a new feature extraction method which produces improvements in the recognition accuracy. So, a new method called Dis-crete Wavelet Packet Decomposition (DWPD) is introduced which utilizes the hy-brid features of both DWT and WPD. The performance of this new approach is evaluated and it produced an improved recognition accuracy of 86.2% along with Naive Bayes classifier.

Development Of A Pos Tagger For Malayalam-An Experience

A Parts of Speech tagger for Malayalam which uses a stochastic approach has been proposed. The tagger makes use of word frequencies and bigram statistics from a corpus. The morphological analyzer is used to generate a tagged corpus due to the unavailability of an annotated corpus in Malayalam. Although the experiments have been performed on a very small corpus, the results have shown that the statistical approach works well with a highly agglutinative language like Malayalam

Design and Development of a Frame Based MT System for English-to-ISL

This paper presents the design and development of a frame based approach for speech to sign language machine translation system in the domain of railways and banking. This work aims to utilize the capability of Artificial intelligence for the improvement of physically challenged, deaf-mute people. Our work concentrates on the sign language used by the deaf community of Indian subcontinent which is called Indian Sign Language (ISL). Input to the system is the clerk’s speech and the output of this system is a 3D virtual human character playing the signs for the uttered phrases. The system builds up 3D animation from pre-recorded motion capture data. Our work proposes to build a Malayalam to ISL