In Statistical Machine Translation from English to Malayalam, an unseen English sentence is translated into its equivalent Malayalam translation using statistical models like translation model, language model and a decoder. A parallel corpus of English-Malayalam is used in the training phase. Word to word alignments has to be set up among the sentence pairs of the source and target language before subjecting them for training. This paper is deals with the techniques which can be adopted for improving the alignment model of SMT. Incorporating the parts of speech information into the bilingual corpus has eliminated many of the insignificant alignments. Also identifying the name entities and cognates present in the sentence pairs has proved to be advantageous while setting up the alignments. Moreover, reduction of the unwanted alignments has brought in better training results. Experiments conducted on a sample corpus have generated reasonably good Malayalam translations and the results are verified with F measure, BLEU and WER evaluation metrics
Santhosh Kumar, G; Rama, Krishna Sharma; Deepthi, K V B L(Ijsrp, January 1, 2014)
[+]
[-]
Abstract:
Coded OFDM is a transmission technique that is used in many practical communication systems. In a coded OFDM system, source data are coded, interleaved and multiplexed for transmission over many frequency sub-channels. In a conventional coded OFDM system, the transmission power of each subcarrier is the same regardless of the channel condition. However, some subcarrier can suffer deep fading with multi-paths and the power allocated to the faded subcarrier is likely to be wasted. In this paper, we compute the FER and BER bounds of a coded OFDM system given as convex functions for a given channel coder, inter-leaver and channel response. The power optimization is shown to be a convex optimization problem that can be solved numerically with great efficiency. With the proposed power optimization scheme, near-optimum power allocation for a given coded OFDM system and channel response to minimize FER or BER under a constant transmission power constraint is obtained
Description:
International Journal of Scientific and Research Publications, Volume 4, Issue 1, January 2014
Santhosh Kumar, G; Sheena Kurian, K; Mary, Priya Sebastian(Cochin University of Science And Technology, 2009)
[+]
[-]
Abstract:
Suffix separation plays a vital role in improving the quality of
training in the Statistical Machine Translation from English into Malayalam.
The morphological richness and the agglutinative nature of Malayalam make it
necessary to retrieve the root word from its inflected form in the training
process. The suffix separation process accomplishes this task by scrutinizing the
Malayalam words and by applying sandhi rules. In this paper, various
handcrafted rules designed for the suffix separation process in the English
Malayalam SMT are presented. A classification of these rules is done based on
the Malayalam syllable preceding the suffix in the inflected form of the word
(check_letter). The suffixes beginning with the vowel sounds like ആല, ഉെെ, ഇല
etc are mainly considered in this process. By examining the check_letter in a
word, the suffix separation rules can be directly applied to extract the root
words. The quick look up table provided in this paper can be used as a guideline
in implementing suffix separation in Malayalam language
Santhosh Kumar, G; Deepthi, K V B L; Rama, Krishna Sharma V(er publications, December , 2013)
[+]
[-]
Abstract:
While channel coding is a standard method of improving a system’s energy efficiency in digital
communications, its practice does not extend to high-speed links. Increasing demands in network speeds
are placing a large burden on the energy efficiency of high-speed links and render the benefit of channel
coding for these systems a timely subject. The low error rates of interest and the presence of residual
intersymbol interference (ISI) caused by hardware constraints impede the analysis and simulation of coded
high-speed links. Focusing on the residual ISI and combined noise as the dominant error mechanisms, this
paper analyses error correlation through concepts of error region, channel signature, and correlation
distance. This framework provides a deeper insight into joint error behaviours in high-speed links, extends
the range of statistical simulation for coded high-speed links, and provides a case against the use of biased
Monte Carlo methods in this setting
Description:
International Journal of Enhanced Research in Science Technology & Engineering,
Vol. 2 Issue 12, December-2013, pp: (115-124)
n this paper we address the problem of face
detection and recognition of grey scale frontal view images. We
propose a face recognition system based on probabilistic neural
networks (PNN) architecture. The system is implemented using
voronoi/ delaunay tessellations and template matching. Images
are segmented successfully into homogeneous regions by virtue
of voronoi diagram properties. Face verification is achieved
using matching scores computed by correlating edge gradients
of reference images. The advantage of classification using PNN
models is its short training time. The correlation based
template matching guarantees good classification results.