discriminative syntactic language modeling
Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
Ngày tải lên :
20/02/2014, 15:20
... Jelinek. 2000. Structured
language modeling. Computer Speech and Language,
14(4):283–332.
Ciprian Chelba. 2000. Exploiting Syntactic Structure for Nat-
ural Language Modeling. Ph.D. thesis, The ... incorporates syntactic language models into a
speech recognizer. These methods have almost ex-
clusively worked within the noisy channel paradigm,
where the syntactic language model has the task
of modeling ... presented in this paper are a first step in
examining the potential utility of syntactic features
for discriminative language modeling for speech
recognition. We tried two possible sets of features
derived...
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Tài liệu Báo cáo khoa học: "Large-Scale Syntactic Language Modeling with Treelets" docx
Ngày tải lên :
19/02/2014, 19:20
... smoothing techniques for language mod-
eling. In Proceedings of the Association for Computa-
tional Linguistics.
Colin Cherry and Chris Quirk. 2008. Discriminative,
syntactic language modeling through ... experiments on 1000-
best lists from Moses using our syntactic language
model as a feature. We did not find that the use
of our syntactic language model made any statis-
tically significant increases ... Word-lattice Parsing: Tech-
niques for Integrated Syntactic Language Modeling.
Ph.D. thesis, Brown University.
Kenneth Heafield. 2011. Kenlm: Faster and smaller
language model queries. In Proceedings of...
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Tài liệu Báo cáo khoa học: "Discriminative Lexicon Adaptation for Improved Character Accuracy – A New Direction in Chinese Language Modeling" pptx
Ngày tải lên :
20/02/2014, 07:20
... Singapore, 2-7 August 2009.
c
2009 ACL and AFNLP
Discriminative Lexicon Adaptation for Improved Character Accuracy –
A New Direction in Chinese Language Modeling
Yi-cheng Pan
Speech Processing Labratory
National ... probability mass. This can be
amended by involving the discriminative language
model adaptation in the iteration, which results in
a unified language model and lexicon adaptation
framework. This ... Computer Processing of
Oriental Languages, 12(1):99–121.
Jianfeng Gao, Joshua Goodman, Mingjing Li, and Kai-
Fu Lee. 2002. Toward a unified approach to statis-
tical language modeling for Chinese. ACM...
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Báo cáo khoa học: "Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining" ppt
Ngày tải lên :
16/03/2014, 19:20
... Saraclar. 2005. Discrimina-
tive syntactic language modeling for speech recogni-
tion. In ACL.
Denis Filimonov and Mary Harper. 2009. A joint
language model with fine-grain syntactic tags. In
EMNLP.
Yoav ... generative and discrimi-
native language models.
For generative LMs, the syntactic information
must be part of the generative process. Structured
language modeling incorporates syntactic parse
trees to ... ICASSP.
Brian Roark, Murat Saraclar, and Michael Collins. 2007.
Discriminative n-gram language modeling. Computer
Speech & Language, 21(2).
K. Sagae and A. Lavie. 2006. A best-first probabilis-
tic...
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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx
Ngày tải lên :
20/02/2014, 04:20
... to incorporate large-
scale n-gram language models in conjunction with
incremental syntactic language models.
The added decoding time cost of our syntactic
language model is very high. By increasing ... parsing for language modeling, but do not
use this language model in a translation system. Our
work, in contrast to the above approaches, explores
the use of incremental syntactic language models ... Jelinek. 2000. Structured
language modeling. Computer Speech and Language,
14(4):283–332.
Stanley F. Chen and Joshua Goodman. 1998. An empir-
ical study of smoothing techniques for language mod-
eling....
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Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
Ngày tải lên :
20/02/2014, 05:20
... before, the
user can take a break and then the system continues
with the next epoch.
3 Language Modeling
Language modeling is important for many text pro-
cessing applications, e.g., speech recognition ... and M. Fried-Oken.
2010. Scanning methods and language modeling for
binary switch typing. In Proceedings of the NAACL
HLT 2010 Workshop on Speech and Language Pro-
cessing for Assistive Technologies, ... confusing. Finally, language model integration
with RSVP is relatively straightforward, as we shall
demonstrate. See Roark et al. (2010) for methods
integrating language modeling into grid scanning.
2...
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Tài liệu Báo cáo khoa học: "A Discriminative Syntactic Word Order Model for Machine Translation" pdf
Ngày tải lên :
20/02/2014, 12:20
... the language model
and the local tree order model outperformed either
model by a large margin. This indicates that combin-
ing syntactic (from the LTOM model) and surface-
based (from the language ... WA
kristout@microsoft.com
Abstract
We present a global discriminative statistical
word order model for machine translation.
Our model combines syntactic movement
and surface movement information, and is
discriminatively trained ... 9–16,
Prague, Czech Republic, June 2007.
c
2007 Association for Computational Linguistics
A Discriminative Syntactic Word Order Model for Machine Translation
Pi-Chuan Chang
∗
Computer Science Department
Stanford...
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Báo cáo khoa học: "A Scalable Probabilistic Classifier for Language Modeling" pdf
Ngày tải lên :
07/03/2014, 22:20
... Language, 8:1–38.
B. Roark, M. Saraclar, and M. Collins. 2007. Discrimi-
native n-gram Language Modeling. Computer, Speech
and Language, 21:373–392.
R. Rosenfeld. 1994. Adaptive Statistical Language ... Entropy Approach to
Adaptive Statistical Language Modeling. Computer,
Speech and Language, 10:187–228.
A. Stolcke. 2002. SRILM – An Extensible Language
Modeling Toolkit. In Proceedings of the ... Hierarchical
Distributed Language Model. In Advances in Neural
Information Processing Systems 21.
H. Ney, U. Essen, and R. Kneser. 1994. On Structur-
ing Probabilistic Dependences in Stochastic Language
Modeling. ...
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Báo cáo khoa học: "Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling" doc
Ngày tải lên :
17/03/2014, 01:20
... accurate word n-gram language
model directly from characters of arbitrary
language, without any “word” indications.
1 Introduction
“Word” is no trivial concept in many languages.
Asian languages such ... by the character HPYLM
according to (4).
This language model, which we call Nested
Pitman-Yor Language Model (NPYLM) hereafter,
is the hierarchical language model shown in Fig-
ure 2, where the ... Kneser-Ney) language model, with an
accurate character ∞-gram Pitman-Yor spelling
model embedded in word models. Further-
more, it can be viewed as a method for building
a high-performance n-gram language...
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Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
Ngày tải lên :
17/03/2014, 02:20
... relationship,
much like traditional language models, using con-
ditional probability distributions. Unlike tradi-
tional language models, however, our grounded
language models condition the probability ... for improving speech
recognition in video. The method uses grounded
language modeling, an extension of tradition lan-
guage modeling in which the probability of a word
is conditioned not only ... work, we will examine the ability of
grounded language models to improve perform-
ance for other natural language tasks that exploit
text based language models, such as Machine
Translation....
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Báo cáo khoa học: "Approximation Lasso Methods for Language Modeling" doc
Ngày tải lên :
17/03/2014, 04:20
... dependency and predictive
clustering for language modeling. In EMNLP 2002.
Gao. J., Yu, H., Yuan, W., and Xu, P. 2005. Minimum
sample risk methods for language modeling. In
HLT/EMNLP 2005.
Osborne, ... perceptron algorithm. In HLT-NAACL 2004. 21-24.
Collins, Michael and Terry Koo 2005. Discriminative
reranking for natural language parsing. Computational
Linguistics 31(1): 25-69.
Duda, Richard O, ... Statistics, 9(2): 319-337.
Roark, Brian, Murat Saraclar and Michael Collins.
2004. Corrective language modeling for large vo-
cabulary ASR with the perceptron algorithm. In
ICASSP 2004.
Schapire,...
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Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx
Ngày tải lên :
17/03/2014, 06:20
... not based
on any syntactic annotation: the dependency struc-
ture used in language modeling was learned directly
from data in an unsupervised manner, subject to two
weak syntactic constraints ...
this method, no manual syntactic annotation is
required, thereby opening up the possibility for
building a language model that performs well on a
wide variety of data and languages. The proposed ... structure acquisition.
One basic approach to using linguistic structure
for language modeling is to extend the conventional
language model P(W) to P(W, T), where T is a parse
tree of W. The extended...
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Báo cáo khoa học: "Dynamic Nonlocal Language Modeling via Hierarchical Topic-Based Adaptation" pdf
Ngày tải lên :
17/03/2014, 07:20
... size is approximately 120k words.
3 Optimizing
Document Clustering
for Language Modeling
For the purpose of language modeling, the topic la-
bels assigned to a document or segment of a doc- ... contribution
172
Dynamic Nonlocal Language Modeling via
Hierarchical Topic-Based Adaptation
Radu Florian and David Yarowsky
Computer Science Department and Center for Language and Speech Processing, ... smooth language models are computed
for each node n different than the root by
three-way interpolating between the m-gram
language model in the parent
parent(n),
the
(m - 1)-gram smooth language...
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