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A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
2007
Annual Meeting of the Association for Computational Linguistics
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This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. ...
Our experiments show that across tasks, three of the estimators -ME estimation with L 1 or L 2 regularization, and APare in a near statistical tie for first place. ...
While recent studies claim advantages for L 1 regularization, this study is the first of which we are aware to systematically compare it to a range of estimators on a diverse set of NLP tasks. ...
dblp:conf/acl/GaoAJT07
fatcat:wkd6dgqsovbohmjlxac4tyuyjy
Comparison Of Arrival Models In The Context Of Urban Transport
2012
Social and Natural Sciences Journal
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To evaluate the performance of these models visual and analytical methods are used in this study. The simulation of these processes is made possible using the power of R language. ...
The process of modeling a random process requires a careful analysis and a correct interpretation of the behavior of the process. ...
Ÿ Computer simulation of processes was done using estimated parameters for distributions. ...
doi:10.12955/snsj.v6i0.312
fatcat:lekobxtpp5amnktqoihbv3w4ku
Hierarchical pitman-yor language model for information retrieval
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
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The Pitman-Yor process creates a power-law distribution which is one of the statistical properties of word frequency in natural language. ...
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distribution. ...
Yor language model for the document retrieval task, and compare this approach with the state-of-the-art smoothing methods widely studied for language model-based information retrieval. ...
doi:10.1145/1835449.1835619
dblp:conf/sigir/MomtaziK10
fatcat:kcqypr4rrbbyvaxt6e77whra5y
LOW FOOTPRINT HIGH INTELLIGIBILITY MALAY SPEECH SYNTHESIZER BASED ON STATISTICAL DATA
2014
Journal of Computer Science
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Statistical parametric method was utilized in this study. The database was constructed to be balanced with all the phonetic sample appeared in Malay language. ...
In conclusion, a Malay language speech synthesizer was designed using statistical parametric method with hidden Markov model. The output speech was verified to be good in quality. ...
So in this study, we built a Malay language speech synthesizer based on statistical parametric method (Zen et al., 2009) using Hidden Markov Model (HMM) . ...
doi:10.3844/jcssp.2014.316.324
fatcat:6o3df5m2yzhvvdj5vcksoy2nr4
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
[article]
2020
arXiv
pre-print
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Recent work raises concerns about the use of standard splits to compare natural language processing models. ...
We propose a Bayesian statistical model comparison technique which uses k-fold cross-validation across multiple data sets to estimate the likelihood that one model will outperform the other, or that the ...
Acknowledgments We would like to thank Steve Bedrick for previous work on this topic. ...
arXiv:2010.03088v1
fatcat:lzjhrfxse5dgdcojgcqzux4ezy
Statistical Parametric Speech Synthesis of Malay Language using Found Training Data
2014
Research Journal of Applied Sciences Engineering and Technology
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Statistical parametric speech synthesis method applying Hidden Markov Model (HMM) has been used. To test the reliability of synthetic speech, perceptual test has been conducted. ...
The preparation of training data for statistical parametric speech synthesis can be sophisticated. To ensure the good quality of synthetic speech, high quality low noise recording must be prepared. ...
ACKNOWLEDGMENT The authors would like to thank IJN for their professional opinions and involvement, Ministry of Higher Education (MOHE), Universiti Teknologi Malaysia (UTM) and UTM Research Management ...
doi:10.19026/rjaset.7.910
fatcat:r736g6ancbedvn6nhyoh2umnhe
Re-evaluating phoneme frequencies
[article]
2020
Frontiers in Psychology
accepted
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We compare these new insights the kinds of causal processes that affect the evolution of phonemic inventories over time, and identify a potential account for why, despite there being an important role ...
We infer the fit of power laws and three alternative distributions to 166 Australian languages, using a maximum likelihood framework. ...
et al., 2009, 680).8 Maximum likelihood estimation (MLE) is a method for estimating the parameters in a statistical model, given some set of observations by finding the set of parameter values,θ, that ...
doi:10.3389/fpsyg.2020.570895
pmid:33329209
pmcid:PMC7714923
arXiv:2006.05206v2
fatcat:2pcni4vcqra5tdrs6oj5mcdlny
Estimating Predictive Rate–Distortion Curves via Neural Variational Inference
2019
Entropy
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Based on the results, we argue that the Predictive Rate–Distortion curve is more useful than the usual notion of statistical complexity for characterizing highly complex processes such as natural language ...
Existing estimation methods for this curve work by clustering finite sequences of observations or by utilizing analytically known causal states. ...
Estimating Predictive Rate-Distortion for Natural Language We consider the problem of estimating rate-distortion for natural language. ...
doi:10.3390/e21070640
pmid:33267354
pmcid:PMC7515133
fatcat:kbnidve5v5aknmz5yumzdrl34i
Information Theory and Language
2020
Entropy
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Human language is a system of communication. Communication, in turn, consists primarily of information transmission [...] ...
Acknowledgments: We express our thanks to the authors of the above contributions, the reviewers for their feedback on the manuscripts, and to the journal Entropy and MDPI for their support during this ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e22040435
pmid:33286209
fatcat:me5ui7eginbsfl4663jyrprzle
Post-Processing Using Speech Enhancement Techniques for Unit Selection and Hidden Markov Model Based Low Resource Language Marathi Text-to-Speech System
2018
The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages
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In this paper, we first introduce the background and the details of the proposed method for low resource Marathi language. ...
The primary aim of the study is to improve the quality of speech after synthesizing voice employing USS and HMM methods for building low resource Marathi TTS using speech enhancement techniques. ...
Bharti Gawali Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad for providing the guidance for the research. ...
doi:10.21437/sltu.2018-20
dblp:conf/sltu/KayteM18
fatcat:wvwmwm6ywjdizgfbom7xj7hbsa
Page 52 of Library & Information Science Abstracts Vol. , Issue 6
[page]
1995
Library & Information Science Abstracts
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Part of a special issue devoted to the integration of natural language and vision processing. ...
Suggests a taxonomy of user characteristics for such studies, in order to make results comparable. ...
Investigation of Effects of Different Synthesis Unit to the Quality of Malay Synthetic Speech
2014
Research Journal of Applied Sciences Engineering and Technology
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In this study, another type of synthesis unit is introduced which is letter. In Malay language, the unit size of letter is smaller than phoneme. ...
Using letter as the synthesis unit is recommended because it excludes the dependency of linguist and expands the idea of language independent front end text processing. ...
ACKNOWLEDGMENT The authors would like to thank IJN for their professional opinions and involvement, Ministry of Higher Education (MOHE), Universiti Teknologi Malaysia (UTM) and UTM Research Management ...
doi:10.19026/rjaset.7.737
fatcat:lqb4qw24kjbdjnfzobufffbzza
A study of Poisson query generation model for information retrieval
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
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Many variants of language models have been proposed for information retrieval. ...
In this paper, we propose and study a new family of query generation models based on Poisson distribution. ...
ACKNOWLEDGMENTS We thank the anonymous SIGIR 07 reviewers for their useful comments. ...
doi:10.1145/1277741.1277797
dblp:conf/sigir/MeiFZ07
fatcat:kma7msknn5g2zc6nfnvvplhnni
Hidden Markov Model based Speech Synthesis: A Review
2015
International Journal of Computer Applications
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A Text-to-speech (TTS) synthesis system is the artificial production of human system. ...
The HTS is based on the generation of an optimal parameter sequence from subword HMMs. The quality of HTS framework relies on the accurate description of the phoneset. ...
Currently, the statistical parametric speech synthesis has been the most rigorously studied approach for speech synthesis. ...
doi:10.5120/ijca2015906965
fatcat:xrxlqnbgqzad3dxdboft4vysmy
Review of Stochastic POS Tagging Techniques used in Bengali
2014
International Journal of Computer Applications
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In this paper, we describe different stochastic methods or techniques used for POS tagging of Bengali language. We have shown a generalized stochastic model for POS tagging in Bengali. ...
We reviewed kinds of corpus and number of tags used for tagging methods. In the study it is found that as many as 45 useful tags existed in the literature. ...
In Bengali large training corpora is rare .So in near future we must build large Bengali corpus for Natural Language Processing (NLP) task. ...
doi:10.5120/17838-8724
fatcat:g7qoks57j5ghlon3inzqpr5b6u
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