ngram language model for spoken language processing
Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx
Ngày tải lên :
20/02/2014, 15:20
... June 2005.
c
2005 Association for Computational Linguistics
A Phonotactic Language Model for Spoken Language Identification
Haizhou Li and Bin Ma
Institute for Infocomm Research
Singapore ...
the 1996 NIST Language Recognition
Evaluation database.
1 Introduction
Spoken language and written language are similar
in many ways. Therefore, much of the research in
spoken language identification, ... Chen of Institute for Info-
comm Research for insightful discussions.
References
Jerome R. Bellegarda. 2000. Exploiting latent semantic
information in statistical language modeling
, In Proc....
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Tài liệu Báo cáo khoa học: "GEMINI: A NATURAL LANGUAGE SYSTEM FOR SPOKEN-LANGUAGE UNDERSTANDING*" doc
Ngày tải lên :
20/02/2014, 21:20
... Language& quot;, Cog-
nition, Vol. 2, No. 1, pp. 15-47.
MADCOW (1992). "Multi-site Data Collection for
a Spoken Language Corpus", in Proceedings
of the DARPA Speech and Natural Language ... could also be
enforced by the parse preference component de-
57
GEMINI: A NATURAL LANGUAGE SYSTEM FOR
SPOKEN -LANGUAGE UNDERSTANDING*
John Dowding, Jean Mark Gawron, Doug Appelt,
John Bear, ...
Internet: dowding@ai.sri.com
1. INTRODUCTION
Gemini is a natural language (NL) under-
standing system developed for spoken language
applications. This paper describes the details of
the system,...
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Tài liệu Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation" doc
Ngày tải lên :
20/02/2014, 04:20
... Dis-
tributed language modeling for N-best list re-ranking.
The 2006 Conference on Empirical Methods in Natu-
ral Language Processing (EMNLP), 216-223.
Y. Zhang, 2008. Structured language models for statisti-
cal ... Syntax-
based language models for statistical machine transla-
tion. MT Summit IX., Intl. Assoc. for Machine Trans-
lation.
C. Chelba and F. Jelinek. 1998. Exploiting syntactic
structure for language modeling. ... Large language models in ma-
chine translation. The 2007 Conference on Empirical
Methods in Natural Language Processing (EMNLP),
858-867.
E. Charniak. 2001. Immediate-head parsing for language
models....
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Tài liệu Báo cáo khoa học: "Exploiting Non-local Features for Spoken Language Understanding" pptx
Ngày tải lên :
20/02/2014, 12:20
... performance on the
statistical spoken language understanding
(SLU) problem. The statistical natural
language parsers trained on text perform
unreliably to encode non-local informa-
tion on spoken ... selec-
tion algorithm is very efficient for both perfor-
mance and time complexity.
2 Spoken Language Understanding as a
Sequential Labeling Problem
2.1 Spoken Language Understanding
The goal of SLU ... (the unstructured model) is bet-
ter than CRF (the structured model) not only for
time cost but also for the performance on our ex-
periment
4
. This result shows that local informa-
tion provides...
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Báo cáo khoa học: "An exponential translation model for target language morphology" pptx
Ngày tải lên :
07/03/2014, 22:20
... number.
• For verbs, generated forms had to match the
original form for tense and negation.
• For adjectives, generated forms had to match
the original form for degree of comparison and
negation.
• For ... exponen-
tial models with surface and lemma features can be
straightforwardly trained for all of them. For the ex-
periments described below we trained an exponen-
tial model for the p(Y |X) lexical model. ... generated forms had to match
the original form for number, case, and gender.
• Non-standard inflection forms for all POS were
excluded.
The following criteria were used to select rules for
which...
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Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
Ngày tải lên :
08/03/2014, 07:20
... Markov language model, and a simple
set of unification grammar rules for the Chinese
language, although the present model is in fact
language independent. The system is written in C
language ... signal
preprocessor is included to form a complete speech
recognition system. The language processor consists
of a language model and a parser. The language model
properly integrates the unification ... summarized.
The Laneua~e Model
The goal of the language model is to participate
in the selection of candidate constituents for a
sentence to be identified. The proposed language
model is composed...
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Báo cáo khoa học: "Re-Ranking Models For Spoken Language Understanding Marco Dinarelli University of Trento Italy" potx
Ngày tải lên :
08/03/2014, 21:20
... probability evaluated by the Conceptual
Language Model, described in the next section.
2.1 Stochastic Conceptual Language Model
(SCLM)
An SCLM is an n-gram language model built on
semantic tags. Using ... 202–210,
Athens, Greece, 30 March – 3 April 2009.
c
2009 Association for Computational Linguistics
Re-Ranking Models For Spoken Language Understanding
Marco Dinarelli
University of Trento
Italy
dinarelli@disi.unitn.it
Alessandro ... convenient
way could improve the SLU performance. The
best choice in this case is a discriminative model,
since it allows for the use of informative features,
which, in turn, can model easily feature dependen-
cies...
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Tài liệu Báo cáo khoa học: "Minimum Cut Model for Spoken Lecture Segmentation" ppt
Ngày tải lên :
20/02/2014, 11:21
... con-
sistently outperforms the similarity-based baseline
on all the lecture datasets. We attribute this gain
to the presence of more attenuated topic transi-
tions in spoken language. Since spoken language
is ... did not try to ad-
just our model to optimize its performance on the
synthetic data. The smoothing method developed
for lecture segmentation may not be appropriate
for short segments ranging from ... increase for the UI system. We
attribute this feature to the fact that the model is
less dependent on individual recognition errors,
which have a detrimental effect on the local seg-
ment language modeling...
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Tài liệu Báo cáo khoa học: "Combining Functionality and Object Orientedness for Natural Language Processing" ppt
Ngày tải lên :
21/02/2014, 20:20
... Domain
A class is defined for each constant of PAL. A class object
for a lexical item contains linguistic knowledge in a procedural
form. In other words, a class contains information as to how a ... answered based on a
predetermined set theoretical model. For example, a noun is
interpreted as a set of entities; the noun "penguin", for
instance, is interpreted as a set of all penguins. ... to share methods for these cases. Any exceptional
method can be attached to lower level items.
For example, we can define a class "action verb" which has
methods for instrumental...
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Báo cáo khoa học: "Grammar Approximation by Representative Sublanguage: A New Model for Language Learning" potx
Ngày tải lên :
08/03/2014, 02:21
... Computational Linguistics
Grammar Approximation by Representative Sublanguage:
A New Model for Language Learning
Smaranda Muresan
Institute for Advanced Computer Studies
University of Maryland
College ... have
formally defined the ILP-learning problem as the tu-
ple , where is the provability re-
lation (also called the generalization model) , is
the language of the background knowledge,
is
the language ... only for very limited subclasses of
first-order logic (Kietz and Dˇzeroski, 1994; Cohen,
1995), which are not appropriate to model natural
language grammars.
Our grammar induction problem can be formu-
lated...
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Báo cáo khoa học: "A Flexible Stand-Off Data Model with Query Language for Multi-Level Annotation" ppt
Ngày tải lên :
08/03/2014, 04:22
... Sessions,
pages 109–112, Ann Arbor, June 2005.
c
2005 Association for Computational Linguistics
A Flexible Stand-Off Data Model with Query Language
for Multi-Level Annotation
Christoph M
¨
uller
EML Research ... Germany
mueller@eml-research.de
Abstract
We present an implemented XML data model and a
new, simplified query language for multi-level an-
notated corpora. The new query language involves
automatic conversion of queries ... language. It offers a simpler and more con-
cise way to formulate certain types of queries for
multi-level annotated corpora. Queries are automat-
ically converted into the underlying query language
and...
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Báo cáo khoa học: "Splitting Long or Ill-formed Input for Robust Spoken-language Translation" docx
Ngày tải lên :
08/03/2014, 05:21
... sir for how many people please"
Figure 3: Structure for (1)
3.2 Splitting input into well-formed
parts and ill-formed parts
Item (C) splits input into well-formed parts and
ill-formed ... Introduction
A spoken -language translation system requires
the ability to treat long or ill-formed input. An
utterance as input of a spoken -language trans-
lation system, is not always one well-formed ...
Since our splitting method is performed under
left-to-right parsing, translation efficiency is not
426
Splitting Long or Ill-formed Input
for Robust Spoken -language Translation
Osamu FURUSE...
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