Features Extraction in Context Based Image Retrieval...Aravindh A.S. and J. Christy Samuel Parsing in Indian Languages...Editors: Kommaluri Vijayanand and L. Ramamoorthy Development of a Hindi to Punjabi Machine Translation System, A Doctoral Dissertation...Vishal Goyal, Ph.D. ...
Let's take the example of "We will be back in some time". We will be back translates to ഞങ്ങൾ തിരിച്ചു വരും in Malayalam and हम वापस आ जाएंगे in Hindi. In some time translates to കുറച്...
HMM consist of the Acoustic word model which is used to recognize the isolated word. In this paper, we collect Hindi database, with a vocabulary size a bit extended. HMM has been implemented using the HTK Toolkit. 展开 DOI: 10.5281/zenodo.203964 年份: 2018 ...
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A review based on sentimental analysis for Hindi language Vaibhav Prakash Vasani, Asha Ambhaikar PDF 1815-1829 RNN Diabetic framework for identifying diabetic eye diseases Arwa Albelaihi, Dina M. Ibrahim PDF 1830-1844 Anomaly based detection in time series data on IoT systems using statistical mode...
Hindi paired word recognition using probabilistic neural network Automatic speech recognition has been a subject of active research interest since last few decades. In the present paper, spoken Hindi (Indian national lan... DK Rajoriya,RS Anand,RP Maheshwari - 《International Journal of Computational...
Growing Neural Gas as a Memory Mechanism of a Heuristic to Solve a Community Detection Problem in Networks Camila Pereira Santos, Mariá C.V. Nascimento Pages 485-494 View PDF Article preview select article Error Analysis of SaHiT - A Statistical Sanskrit-Hindi Translator Research articleOpen access...
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In: Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2, pp 811–818, (2009) Saha, S. K.; Mitra, P.; Sarkar, S.: Word clustering and word selection based feature reduction for maxent based hindi ner. In proceedings of ACL-08: HLT, pp ...
Testing Hindi helps find legacy (non-Unicode) defects that affect all such languages.By concentrating on these four languages during Beta, we maximized our chances to find and fix the globalization bugs that affect many languages. This in turn gave us more time to improve the localization of ...