منابع مشابه
Intonation modeling for indian languages
In this paper we study neural network models to capture intonation patterns of speech in Indian languages. We examine the performance of neural networks and support vector machines (SVM) for this purpose. Modeling the intonation pattern is the task of predicting the sequence of fundamental frequency ( ) values for the sequence of syllables in the given text. Analysis is performed on broadcast n...
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Although it has been shown for many languages that the Fujisaki model is in principle capable of decomposing F0 contours in these languages, problems remain as to the automatic extraction as well as the interpretation of parameters extracted with respect to their phonological relevance. The claim is made in the current article that the Fujisaki model parametrization used must be rooted in the l...
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The discipline where sentiment/ opinion/ emotion has been identified and classified in human written text is well known as sentiment analysis. A typical computational approach to sentiment analysis starts with prior polarity lexicons where entries are tagged with their prior out of context polarity as human beings perceive using their cognitive knowledge. Till date, all research efforts found i...
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This paper reports about our work in the ICON 2009 NLP TOOLS CONTEST: Parsing. We submitted two runs for Bengali. A statistical CRF based model followed by a rule-based post-processing technique has been used. The system has been trained on the NLP TOOLS CONTEST: ICON 2009 datasets. The system demonstrated an unlabeled attachment score (UAS) of 74.09%, labeled attachment score (LAS) of 53.90% a...
متن کاملDuration modeling of Indian languages Hindi and Telugu
This paper reports a preliminary attempt on data-driven modeling of segmental (phoneme) duration for two Indian languages Hindi and Telugu. Classification and Regression Tree (CART) based data-driven duration modeling for segmental duration prediction is presented. A number of features are proposed and their usefulness and relative contribution in segmental duration prediction is assessed. Obje...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2009
ISSN: 0885-2308
DOI: 10.1016/j.csl.2008.06.005