incremental syntactic language models
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 ... (2007) use
supertag n-gram LMs. Syntactic language models
have also been explored with tree-based translation
models. Charniak et al. (2003) use syntactic lan-
guage models to rescore the output ... 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...
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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
... 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 ... propose a simple generative, syntactic
language model that conditions on overlap-
ping windows of tree context (or treelets) in
the same way that n-gram language models
condition on overlapping ... 2005). At the same time, because n-gram
language models only condition on a local window
of linear word-level context, they are poor models of
long-range syntactic dependencies. Although sev-
eral...
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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
... 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 written text language models ... dif-
ferences among the different language models when
extended features are present are relatively small.
We assume that much of the information expressed
in the language models overlaps with the lexical ... information from
the external language models by defining a reranker
feature for each external language model. The value
of this feature is the log probability assigned by the
language model to the candidate...
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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
... 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 (Paul) Hsu ... Association for Computational Linguistics
An Empirical Investigation of Discounting
in Cross-Domain Language Models
Greg Durrett and Dan Klein
Computer Science Division
University of California, Berkeley
{gdurrett,klein}@cs.berkeley.edu
Abstract
We ... 2006. MAP adaptation of stochastic
grammars. Computer Speech & Language, 20(1):41 –
68.
Jerome R. Bellegarda. 2004. Statistical language model
adaptation: review and perspectives. Speech Commu-
nication,...
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Tài liệu Báo cáo khoa học: "Improved Smoothing for N-gram Language Models Based on Ordinary Counts" doc
Ngày tải lên :
20/02/2014, 09:20
... Kneser-Ney and
those methods.
1 Introduction
Statistical language models are potentially useful
for any language technology task that produces
natural -language text as a final (or intermediate)
output. ... perplexity of any known method
for estimating N-gram language models.
Kneser-Ney smoothing, however, requires
nonstandard N-gram counts for the lower-
order models used to smooth the highest-
order model. ... best approach when language
models based on ordinary counts are desired.
References
Chen, Stanley F., and Joshua Goodman. 1998.
An empirical study of smoothing techniques for
language modeling....
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
Ngày tải lên :
20/02/2014, 15:20
... work
that 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 ... traditional n-gram
language models. The Structured Language Model
(Chelba and Jelinek, 1998; Chelba and Jelinek,
2000; Chelba, 2000; Xu et al., 2002; Xu et al., 2003)
makes use of an incremental shift-reduce ... words. Incremental top-
down and left-corner parsing (Roark, 2001a; Roark,
2001b) and head-driven parsing (Charniak, 2001)
approaches have directly used generative PCFG
models as language models. ...
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Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
Ngày tải lên :
20/02/2014, 15:20
... of syntax. Our approach uses n-
gram language models as a low-cost automatic ap-
proximation of both syntactic and semantic analy-
sis. Statistical language models (LMs) are used suc-
cessfully ... statistical language models.
In this paper, we also use support vector
machines to combine features from tradi-
tional reading level measures, statistical
language models, and other language pro-
cessing ... it
does not capture syntactic information. We believe
that higher order n-gram models or class n-gram
models can achieve better performance by captur-
ing both semantic and syntactic information....
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Tài liệu Báo cáo khoa học: "Generating statistical language models from interpretation grammars in dialogue systems" potx
Ngày tải lên :
22/02/2014, 02:20
... comparison of in-
grammar recognition performance.
3 Language modelling
To generate the different trigram language models
we used the SRI language modelling toolkit (Stol-
cke, 2002) with Good-Turing ... decades of statistical language
modeling: Where do we go from here? In Proceed-
ings of IEEE:88(8).
Rosenfeld R. 2000. Incorporating Linguistic Structure
into Statistical Language Models. In Philosophical
Transactions ... statistical language models (DM-SLMs)
by using GF to generate all utterances that are
specific to certain dialogue moves from our in-
terpretation grammar. In this way we can pro-
duce models that...
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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
... 2007. Large language
models in machine translation. In Proceedings
of the 2007 Joint Conference on Empirical Meth-
ods in Natural Language Processing and Com-
putational Natural Language Learning ... Kneser-
Ney smoothed n-gram models. IEEE Transac-
tions on Audio, Speech and Language Processing,
15(5):1617–1624.
A. Stolcke. 1998. Entropy-based pruning of backoff
language models. In Proc. DARPA ... 8 billion.
3 Speech Recognition Experiments
We have trained language models on the in-
domain data together with web data, and these
models have been used in speech recognition ex-
periments....
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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
... grammars for modeling agglutination
in this language, but first we will present the for-
mer class of languages and its acceptor automata.
3.1 Linear context free languages and
two-taped nondeterministic ... 2010.
c
2010 Association for Computational 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 ... natural representa-
tion in terms of linear context-free languages.
2 Quichua Santiague
˜
no
The quichua santiague˜no is a language of the
Quechua language family. It is spoken in the San-
tiago del...
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Báo cáo khoa học: "Faster and Smaller N -Gram Language Models" pptx
Ngày tải lên :
07/03/2014, 22:20
... novel language model
caching technique that improves the query
speed of our language models (and SRILM)
by up to 300%.
1 Introduction
For modern statistical machine translation systems,
language models ... with two different language models.
Our first language model, WMT2010, was a 5-
gram Kneser-Ney language model which stores
probability/back-off pairs as values. We trained this
language model on ... Queries
Decoders with integrated language models (Och and
Ney, 2004; Chiang, 2005) score partial translation
hypotheses in an incremental way. Each partial hy-
pothesis maintains a language model context...
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Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt
Ngày tải lên :
07/03/2014, 22:20
... explore a dependency language
model to improve translation quality. To some ex-
tent, these syntactically-informed language models
are consistent with syntax-based translation models
in capturing ... build linguistically-informed language
models. For example, Charniak et al. (2003) present
a syntax-based language model for machine transla-
tion which is trained on syntactic parse trees. Again,
Shen ... or even trillions of English words,
huge language models are built in a distributed man-
ner (Zhang et al., 2006; Brants et al., 2007). Such
language models yield better translation results but
at...
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Báo cáo khoa học: "Randomized Language Models via Perfect Hash Functions" pptx
Ngày tải lên :
08/03/2014, 01:20
... (lossless) lan-
guages models and our randomized language model.
Note that the standard practice of measuring per-
plexity is not meaningful here since (1) for efficient
computation, the language model ... 2007.
Compressing trigram language models with golomb
coding. In Proceedings of EMNLP-CoNLL 2007,
Prague, Czech Republic, June.
P. Clarkson and R. Rosenfeld. 1997 . Statistical language
modeling using ... pruning of back-
off language models. In Proc. DARPA Broadcast News
Transcription and Understanding Workshop, pages
270–274.
D. Talbot and M. Osborne. 2007a. Randomised language
modelling for...
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Báo cáo khoa học: "Generalized Algorithms for Constructing Statistical Language Models" pdf
Ngày tải lên :
08/03/2014, 04:22
... .
Class-based models. In many applications, it is nat-
ural and convenient to construct class-based language
models, that is models based on classes of words (Brown
et al., 1992). Such models are ... experi-
mental results demonstrating its efficiency.
Representation of language models by WFAs. Clas-
sical
-gram language models admit a natural representa-
tion by WFAs in which each state encodes ... re-
lated to the construction of language models. We present
new and efficient algorithms to address these more gen-
eral problems.
Counting. Classical language models are constructed
by deriving...
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Báo cáo khoa học: "Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation" doc
Ngày tải lên :
08/03/2014, 21:20
... LMs
are devised to capture typical lexical and syntactic
constructions that characterize the style of speech
transcripts.
Compared to standard language models, hy-
brid LMs generalize better to the ... Hoang. 2007. Factored
translation models. In Proceedings of the 2007
Joint Conference on Empirical Methods in Natural
Language Processing and Computational Natural
Language Learning (EMNLP-CoNLL), ... Monz. 2011. Statistical Machine Translation
with Local Language Models. In Proceedings of the
2011 Conference on Empirical Methods in Natural
Language Processing, pages 869–879, Edinburgh,
Scotland,...
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