extensions of recurrent neural network language model
Tài liệu Handbook of Neural Network Signal Processing P2 docx
Ngày tải lên :
12/12/2013, 23:15
... using
neural networks. In the first part, in-depth surveys of recent progress of neural network computing
paradigms are presented. Part One consists of five chapters:
• Chapter 1: Introduction to Neural ... extension of the conventional PCA.
• Chapter 9: Applications of Artificial Neural Networks to Time Series Prediction.
In this chapter, Liao, Moody, and Wu provide a technical overview of neural network
approaches ... important application of artificial neural networks.
In fact, a majority of neural network applications can be categorized as solving complex pattern
classification problems. In the area of signal processing,...
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Tài liệu Handbook of Neural Network Signal Processing P1 ppt
Ngày tải lên :
12/12/2013, 23:15
... contents of this book.
1.2 Artificial Neural Network (ANN) Models — An Overview
1.2.1 Basic Neural Network Components
A neural network is a general mathematical computing paradigm that models the ... graph consists of nodes (in the case of a neural network, neurons, as well
as external inputs) and directed arcs (in the case of a neural network, synaptic links).
The topology of the graph can ... a neural network with cyclic topology contains at least one cycle formed by directed
arcs. Such a neural network is also known as a recurrent network. Due to the feedback loop,
a recurrent network...
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Tài liệu Evolving the neural network model for forecasting air pollution time series pdf
Ngày tải lên :
17/02/2014, 22:20
... and comparison of models. Journal of Geophysical
Research 90 (C5), 8995–9005.
Yao, X., 1999. Evolving artificial neural networks. Proceedings of the
IEEE Transactions on Neural Networks 87 (9), ... 15)
Generation
150
Selection of parents
using stochastic
universal sampling
Competition of
populations was not
utilised
Migration within the
interval of 15 gen. and
rate of 0.1
Reinsertion of
offsprings with ... stated the
evolving of model inputs and high-level architecture
itself could not improve the performances of the models
significantly. However, more robust and reasonable
models were produced,...
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Tài liệu Báo cáo khoa học: "The impact of language models and loss functions on repair disfluency detection" pptx
Ngày tải lên :
20/02/2014, 04:20
... the f-score outperform state -of- the-art models re-
709
mary corpus for our model. The language model
part of the noisy channel model already uses a bi-
gram language model based on Switchboard, ... detail.
5.2 Language Model
Informally, the task of language model component
of the noisy channel model is to assess fluency of
the sentence with disfluency removed. Ideally we
would like to have a model ... of a variety of language
models trained from text or speech corpora of vari-
ous genres and sizes. The largest available language
models are based on written text: we investigate the
effect of...
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Tài liệu Báo cáo khoa học: "An Empirical Investigation of Discounting in Cross-Domain Language Models" ppt
Ngày tải lên :
20/02/2014, 04:20
... Estimating Probabilities of English
Bigrams. Computer Speech & Language, 5(1):19–54.
Joshua Goodman. 2001. A Bit of Progress in Language
Modeling. Computer Speech & Language, 15(4):403–
434.
Bo-June ... Improved
Backing-off for M-Gram Language Modeling. In Pro-
ceedings of International Conference on Acoustics,
Speech, and Signal Processing.
Robert C. Moore and William Lewis. 2010. Intelligent
selection of language ... k
train
(w) denote the number of
occurrences of w in the training corpus, and k
test
(w)
denote the number of occurrences of w in the test
corpus. We define the empirical discount of w to be
d(w) = k
train
(w)...
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Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
Ngày tải lên :
22/02/2014, 02:20
... empirical
study of smoothing techniques for language model-
ing. Computer Speech and Language, 13:359–394.
Joshua T. Goodman. 2001. A bit of progress in lan-
guage modeling. Computer Speech and Language,
15:403–434.
Slava ... FSTs of differ-
ent sizes. The FSTs contain the acoustic models,
language model and lexicon, but the LM makes up
for most of the size. The availability of data varies
for the different languages, ... size of the web mixture
LM is limited to the size of the baseline
in-domain LM.
1 Introduction
An automatic speech recognition (ASR) system
consists of acoustic models of speech sounds and
of a...
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Báo cáo " Advantages and disadvantages of using computer network technology in language teaching " pptx
Ngày tải lên :
05/03/2014, 12:20
... out because of technical problems in
terms of the speed of the network and the
reliability of the software.
Another challenge to the use and
implementation of computer- assisted
language learning ... disadvantages of using computer
network technology in language teaching
Vu Tuong Vi
(*)
(*)
MA., Department of English-American Language and Culture, College of Foreign Languages - VNU. ... of
second/foreign language. Indeed, the use of
the Internet and the World Wide Web in
second and foreign language instruction has
been increasingly recognized. A number of
applications of...
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Báo cáo khoa học: "Intelligent Selection of Language Model Training Data" ppt
Ngày tải lên :
07/03/2014, 22:20
... according to a language
model trained on I, of a text segment s drawn from
N. Let H
N
(s) be the per-word cross-entropy of s
according to a language model trained on a ran-
dom sample of N. We partition ... domain-
specific and non-domain-specifc language
models, for each sentence of the text
source used to produce the latter language
model. We show that this produces better
language models, trained on less data, ... for each of these modifed
language models is compared to that of the orig-
inal version of the model in Table 2. It can be
seen that adjusting the vocabulary in this way, so
that all models are...
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Báo cáo khoa học: "The use of formal language models in the typology of the morphology of Amerindian languages" potx
Ngày tải lên :
07/03/2014, 22:20
... Linguistics
The use of formal language models in the typology of the morphology of
Amerindian languages
Andr
´
es Osvaldo Porta
Universidad de Buenos Aires
hugporta@yahoo.com.ar
Abstract
The aim of this ... some
preliminary results of an investigation in
course on the typology of the morphol-
ogy of the native South American lan-
guages from the point of view of the for-
mal language theory. With this ... examples of de-
scriptions of two Aboriginal languages fi-
nite verb forms morphology: Argentinean
Quechua (quichua santiague˜no) and Toba.
The description of the morphology of the
finite verb forms of...
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Báo cáo khoa học: "Automatic Acquisition of Language Model based on Head-Dependent Relation between Words" pdf
Ngày tải lên :
08/03/2014, 05:21
... i i i !
(DEP model) o
(TRI model) "*'
rT I I I I I I
200 400 600 800 1000 1200 1400 1600
No. of training sentences
Figure 8: Model size
Related to the size of model, however, ... more useful
than the naive word sequences of n-gram, for
language modeling.
We are planning to experiment the perfor-
mance of the proposed language model for large
corpus, for various domains, ...
Based n-gram Models of Natural Language& quot;.
Computational Linguistics,
18(4):467-480.
C. Chang and C. Chen. 1996. "Application Is-
sues of SA-class Bigram Language Models"....
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Báo cáo khoa học: "Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difficulty of Texts for FFL" potx
Ngày tải lên :
08/03/2014, 21:20
... a
statistical language model and a measure of tense
difficulty.
4.1 The language model
The lexical difficulty of a text is quite an elaborate
phenomenon to parameterise. The logistic regres-
sion models ... fact
that the MLR model multiplies the number of pa-
rameters by J − 1 compared to the PO model.
Because of this, they recommend using the PO
model.
6 Implementation of the models
Having covered ... presented a variation of a
multinomial naive Bayesian classifier they called
the “Smoothed Unigram” model. We retained
from their work the use of language models in-
stead of word lists to measure...
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Báo cáo khoa học: "Confidence-Weighted Learning of Factored Discriminative Language Models" pptx
Ngày tải lên :
17/03/2014, 00:20
... discriminative lan-
guage models. First, we introduced the idea of us-
ing factored features in the discriminative language
modeling framework. Factored features allow the
language model to capture linguistic ... generative language models
have been extended in several ways. Generative
factored language models (Bilmes and Kirchhoff,
2003) represent each token by multiple factors –
such as part -of- speech, ... a tri-
gram generative language model with Kneser-Ney
smoothing. We then obtain training data for the dis-
criminative language model as follows. We take a
random subset of the parallel training...
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