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Learning finite-state models for machine translation
2006
Machine Learning
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Moreover, the relative simplicity of these mappings has recently led to the development of techniques for learning finite-state transducers from a training set of inputoutput sentence pairs of the languages ...
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. ...
The probabilities associated with the transitions of a SFST learned in this way are just those of the corresponding stochastic regular grammar inferred in step 2. ...
doi:10.1007/s10994-006-9612-9
fatcat:2brzvkrv4jg7dhivheufceltya
Learning Finite-State Models for Machine Translation
[chapter]
2004
Lecture Notes in Computer Science
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Moreover, the relative simplicity of these mappings has recently led to the development of techniques for learning finite-state transducers from a training set of inputoutput sentence pairs of the languages ...
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. ...
The probabilities associated with the transitions of a SFST learned in this way are just those of the corresponding stochastic regular grammar inferred in step 2. ...
doi:10.1007/978-3-540-30195-0_2
fatcat:n2soiu6f5ze2vb66jg5qq3y6qe
Machine Learning in Catalysis, From Proposal to Practicing
2019
ACS Omega
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To the best of our knowledge, modern statistical learning techniques will be a strong tool for computational optimization and discovery. ...
Recently, machine learning (ML) methods have gained popularity and have performed as powerfully predictive tools in various areas of academic and industrious activities. ...
for computer vision, language processing, image recognition, and others. ...
doi:10.1021/acsomega.9b03673
pmid:31956754
pmcid:PMC6963892
fatcat:zd2fui4e3ja5vasx7debt4kpyi
Learning Regular Omega Languages
[chapter]
2014
Lecture Notes in Computer Science
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Three variations of the algorithm learn three different canonical representations of omega regular languages, using the notion of families of dfas. ...
We provide an algorithm for learning an unknown regular set of infinite words, using membership and equivalence queries. ...
A regular ω-language L is safe if for all w / ∈ L there exists a prefix u of w such that any extension of u is not in L. This work is extended in [8] to learning bi-ω languages from subwords. ...
doi:10.1007/978-3-319-11662-4_10
fatcat:bs5bugjxfrcobmua46l4ektxya
Learning regular omega languages
2016
Theoretical Computer Science
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Three variations of the algorithm learn three different canonical representations of omega regular languages, using the notion of families of dfas. ...
We provide an algorithm for learning an unknown regular set of infinite words, using membership and equivalence queries. ...
A regular ω-language L is safe if for all w / ∈ L there exists a prefix u of w such that any extension of u is not in L. This work is extended in [8] to learning bi-ω languages from subwords. ...
doi:10.1016/j.tcs.2016.07.031
fatcat:pqhjgq3cvnf7toewzmodnecnia
Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis
2020
BMC Psychiatry
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Reliability was assessed using complementary statistical indices (e.g. omega). ...
CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation ...
The funding body had no influence on the design, execution, analysis, or interpretation of the results of this study. 16 Mental Health Department, ASLTO3, Local Health Authority Torino 3, Via Martiri ...
doi:10.1186/s12888-020-02627-8
pmid:32398111
fatcat:h3wc7h3zc5eq3ba3egwlqe7lwa
Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model
2021
AMIA Annual Symposium Proceedings
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We also evaluated a deep learning model (Bi-LSTM-CRF) for extracting these entities on CLAMP platform, with an average F1 measure of 0.601. ...
This study shows the feasibility of automatic parsing of the eligibility criteria following OMOP CDM for future cohort identification. ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. ...
pmid:33936396
pmcid:PMC8075443
fatcat:w6et3omyg5h65mrcyhj7gbdiqm
Advancing Industry-Related Elements: The Meat on the Curricula Bones
2008
2008 32nd Annual IEEE International Computer Software and Applications Conference
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Room GAMMA) • Embedded Architecture Description Language: Juncao Li, Nicholas T. ...
The regular papers include complete and mature results. Short papers represent quality work that will spur discussion. ...
doi:10.1109/compsac.2008.120
dblp:conf/compsac/ThompsonE08
fatcat:v3x4e4vjcfbufhsc6tdl2d7xfi
Page 1189 of Linguistics and Language Behavior Abstracts: LLBA Vol. 29, Issue 3
[page]
1995
Linguistics and Language Behavior Abstracts: LLBA
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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.
The evidence under study shows that, as the liter- ary & cultic language, Hebrew was used by learned writers in contexts where most writers would use Aramaic. Adapted from the source docu- ment. ...
This thesis is supported by the occurrence of omega ina partly tonic Saidic enclitic & by variants of aw6 across the dialects of Coptic. 26 References. J. ...
Significantly Increasing the Usability of Model Analysis Tools through Visual Feedback
[chapter]
2013
Lecture Notes in Computer Science
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A plethora of theoretical results are available which make possible the use of dynamic analysis and model-checking for software and system models expressed in high-level modeling languages like UML, SDL ...
and in terms of user satisfaction. ...
This change of context is in general not supported by a bi-directional mapping to and from the formal language, since the goal is to represent a complex modeling language with a limited set of primitives ...
doi:10.1007/978-3-642-38911-5_7
fatcat:qwe7rz5ge5dsraaa5hk5qtr7wu
Automatic Inference of BI-RADS Final Assessment Categories from Narrative Mammography Report Findings
2019
Journal of Biomedical Informatics
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vector representations of the reports annotated with BI-RADS category (22,091). ...
A large corpus of unannotated mammography reports (300,000) was used to learn the context of the key-terms using a distributional semantics approach, and the trained model was applied to generate context-aware ...
learn the malignant features of the radiological findings. ...
doi:10.1016/j.jbi.2019.103137
pmid:30807833
pmcid:PMC6462247
fatcat:znsjvkkqifcxfbpvxhhec2myo4
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
[article]
2019
arXiv
pre-print
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Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive ...
Experiments on the AMI corpus show that our system outperforms multiple energy-based and non-energy based baselines from the state-of-the-art. Code and data are publicly available. ...
How time matters: Learning time-decay at-
tention for contextual spoken language understand-
ing in dialogues. ...
arXiv:1904.09491v2
fatcat:yepg4w45rzdhtdkrf2evlt343y
Non-Zero-Sum-Games and Control (Dagstuhl Seminar 15061)
2015
Dagstuhl Reports
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The area of non-zero-sum games is addressed in a wide range of topics: multi-player games, partial-observation games, quantitative game models, and -as a special focus -connections with control engineering ...
In this report, the program, research issues, and results of Dagstuhl Seminar 15061 "Non-Zero-Sum-Games and Control" are described. ...
Similar techniques are also applicable to quantitative extensions of the omega-regular languages, e.g., max-regular languages. ...
doi:10.4230/dagrep.5.2.1
dblp:journals/dagstuhl-reports/ChatterjeeLMT15
fatcat:3g2k4ej7n5hczbe33yhxrh3h5a
Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL
[article]
2020
arXiv
pre-print
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The goal of this work is to build a classifier that can identify text complexity within the context of teaching reading to English as a Second Language (ESL) learners. ...
Using a corpus of 6171 texts, which had already been classified into three different levels of difficulty by ESL experts, different experiments were conducted with five machine learning algorithms. ...
Here, the number of bi-grams, tri-grams, and four-grams of POS tags' sequences are in two different ways. ...
arXiv:2001.01863v7
fatcat:au4ai3tk3vax7o6nyryrq37hf4
New Millennium AI and the Convergence of History
[article]
2006
arXiv
pre-print
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At the same time there has been rapid progress in practical methods for learning true sequence-processing programs, as opposed to traditional methods limited to stationary pattern association. ...
Or is this impression just a by-product of the way humans allocate memory space to past events? ...
We found [32, 17] that LSTM clearly outperforms previous RNNs on tasks that require learning the rules of regular languages (RLs) describable by deterministic finite state automata (DFA) [8, 101, 5, ...
arXiv:cs/0606081v3
fatcat:5xe2tggtbvg7terxm2oydq6jfa
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