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Stochastic Finite-State Models for Spoken Language Machine Translation
2002
Machine Translation
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In this paper, we propose stochastic finite-state models for these two subproblems. ...
Stochastic finite-state models are efficiently learnable from data, effective for decoding and are associated with a calculus for composing models which allows for tight integration of constraints from ...
Acknowledgements We would like to thank Richard Cox and Mazin Rahim for their continued support for the work reported in this paper. ...
doi:10.1023/b:coat.0000010804.12581.96
fatcat:665cnydxrvc4hmknngcxiwdovm
Stochastic finite-state models for spoken language machine translation
2000
ANLP-NAACL 2000 Workshop: Embedded Machine Translation Systems on - EmbedMT '00
unpublished
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In this paper, we propose stochastic finite-state models for these two subproblems. ...
Stochastic finite-state models are efficiently learnable from data, effective for decoding and are associated with a calculus for composing models which allows for tight integration of constraints from ...
Acknowledgements We would like to thank Richard Cox and Mazin Rahim for their continued support for the work reported in this paper. ...
doi:10.3115/1610243.1610251
fatcat:3bu75gsbwnealdugu4iq5rwtla
Stochastic finite-state models for spoken language machine translation
2000
NAACL-ANLP 2000 Workshop on Embedded machine translation systems -
unpublished
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In this paper, we propose stochastic finite-state models for these two subproblems. ...
Stochastic finite-state models are efficiently learnable from data, effective for decoding and are associated with a calculus for composing models which allows for tight integration of constraints from ...
Acknowledgements We would like to thank Richard Cox and Mazin Rahim for their continued support for the work reported in this paper. ...
doi:10.3115/1117586.1117594
fatcat:dascykrihjgqdosvpinrsstw3y
A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English
2019
International Journal of Emerging Technologies in Learning (iJET)
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Stochastic finite automata are well adapted for the constrained inte-gration of pairs of sentences for language processing. ...
Stochastic finite automata have been applied to a variety of fields, machine trans-lation is one of them. It can learn from data and build model automatically from training sets. ...
Method Based on Stochastic Finite Automata Model for Spoken…
iJET -Vol. 14, No. 6, 2019
https://www.i-jet.orgPaper-A Novel Machine Translation Method Based on Stochastic Finite Automata Model ...
doi:10.3991/ijet.v14i06.10161
fatcat:4osgsbior5fyhfbeod7anrvfuu
Page 2046 of Computational Linguistics Vol. 30, Issue 2
[page]
2004
Computational Linguistics
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Stochastic finite-state models for spoken language machine translation. ...
Finite-state models for lexical reordering in spoken language translation. In Proceedings of the International Conference on Speech and Language Processing, Beijing, China, October. ...
Adaptive categorical understanding for spoken dialogue systems
2005
IEEE Transactions on Speech and Audio Processing
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Off-line adaptation of stochastic language models that interpolate dialogue state specific and general application-level language models is proposed. ...
Word and dialogue-state n-grams are used for building categorical understanding and dialogue models, respectively. Acoustic confidence scores are incorporated in the understanding formulation. ...
Rose for his help with the utterance verification algorithms, and to the anonymous reviewers for many useful comments. ...
doi:10.1109/tsa.2005.845836
fatcat:yh7l2tkap5ddfpswahv44jrite
Page 1358 of Linguistics and Language Behavior Abstracts: LLBA Vol. 28, Issue 3
[page]
1994
Linguistics and Language Behavior Abstracts: LLBA
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; 9405845
stochastic language models, probabilistic structuring, German/English corpora data; 9405872
sublanguage, J. ...
cryptic communication means, “Howdyuh-Dooah Syndrome”; 9406275
English-French machine vision terminology, Ma-Ze entries; 9404910
finite state automata adaptations, natural language processing tools; 9405884 ...
Page 2788 of Linguistics and Language Behavior Abstracts: LLBA Vol. 29, Issue 5
[page]
1995
Linguistics and Language Behavior Abstracts: LLBA
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tagger, optimal time operation, deterministic finite-state machine; 9511612
infrequent French words’ frequency, acceptability degree relation, sta- tistical validation; 9511590
isolated-word speech recognition ...
problems, social studies;
511
sentence alignment method/program, simple statistical model basis, bilingual corpora study, machine translation research/bilingual lexi- cography; 9511574
speaker verification ...
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages
2011
IEEE Transactions on Audio, Speech, and Language Processing
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These methods include classical, well-known generative and discriminative methods like Finite State Transducers (FSTs), Statistical Machine Translation (SMT), Maximum Entropy Markov Models (MEMMs), or ...
One of the first steps in building a spoken language understanding (SLU) module for dialogue systems is the extraction of flat concepts out of a given word sequence, usually provided by an automatic speech ...
His research on learning finite state automata and transducers has lead to the creation of the first large-scale finite state chain decoding for machine translation (Anuvaad). ...
doi:10.1109/tasl.2010.2093520
fatcat:ibtf5zvxxncvldslohguwmn7tm
Coffee Maker Robot Based on Simple Vocabulary and Partially Observable Markov Decision Process (POMDP)
2017
ICIC Express Letters
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In this paper, this spoken dialog problem is treated as a partially observable Markov decision process (POMDP). ...
and the result will be compared with simple vocabulary in Indonesian language. ...
Spoken Dialog Systems and POMDP Spoken dialog systems are machines which interact with people using spoken language. ...
doi:10.24507/icicel.11.04.757
fatcat:44nc6mhcvrffjjsjd34hd4uicu
Machine Translation with Inferred Stochastic Finite-State Transducers
2004
Computational Linguistics
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This grammar is finally converted into a finite-state transducer. The proposed methods are assessed through a series of machine translation experiments within the framework of the EuTrans project. ...
One of these areas is machine translation, in which the approaches that are based on building models automatically from training examples are becoming more and more attractive. ...
The authors wish to thank the anonymous reviewers for their criticisms and suggestions. ...
doi:10.1162/089120104323093294
fatcat:iqli5nbt4zfzpak5qoltb7ucb4
Multilingual Spoken Language Understanding using graphs and multiple translations
2016
Computer Speech and Language
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for each language. ...
The experimental results confirm the good behavior of this approach using French and English as input languages in a spoken language understanding task that was developed for Spanish. ...
For our semantic decoding algorithm, we have represented these LMs as stochastic finite state automata. ...
doi:10.1016/j.csl.2016.01.002
fatcat:x5ejm4avm5hrfndlbswehbju7m
Learning finite-state models for machine translation
2006
Machine Learning
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Under the statistical statement of machine translation, we overview here how modeling, learning and search problems can be solved by using stochastic finite-state transducers. ...
In formal language theory, finite-state transducers are well-know models for simple "input-output" mappings between two languages. ...
Acknowledgments The authors wish to thank the anonymous reviewers for their criticisms and suggestions. ...
doi:10.1007/s10994-006-9612-9
fatcat:2brzvkrv4jg7dhivheufceltya
Active learning: theory and applications to automatic speech recognition
2005
IEEE Transactions on Speech and Audio Processing
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Index Terms-Acoustic modeling, active learning, language modeling, large vocabulary continuous speech recognition, machine learning. ...
The goal of Active Learning is to minimize the human supervision for training acoustic and language models and to maximize the performance given the transcribed and untranscribed data. ...
Cox for their continued support on this research topic. They would also like to thank G. Tur and M. Saraclar for their technical help and useful discussions. ...
doi:10.1109/tsa.2005.848882
fatcat:qa5d6rsrtjafvc6j4ub6uvje74
Comparative Analysis of Automatic Sign Language Generation Systems
2021
Journal of scientific research
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In this paper, we tried to perform a study of available research studies from 2001 to 2020 for sign language generation systems for various public domains using different machine translation approaches ...
A hybrid approach based announcement system prototype is developed for deaf people. The proposed system prototype produced 82% accuracy on translation of announcements into sign language. ...
In statistical translation, a Phrase-based Translator and a Stochastic Finite State Transducer (SFST) are used for translation following steps of word alignment computation, phase extraction and phase ...
doi:10.37398/jsr.2021.650528
fatcat:l5vyyyjcbjcjfmxamqf2kahbwi
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