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Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data
[article]
2018
arXiv
pre-print
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Therefore, models for translation are usually trained on a set of paired training data which are carefully and laboriously designed. ...
Our work is focused on learning through automatically generated paired data. ...
In this paper, we explore the application of generative adversarial networks in automatic acquisition of paired data for sketch-to-image translation. ...
arXiv:1811.00249v1
fatcat:c26mb6c5zrfuzgvnvqvyeojyji
Automatic Reordering Rule Generation and Application of Reordering Rules in Stochastic Reordering Model for EnglishMyanmar Machine Translation
2011
International Journal of Computer Applications
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In this paper, automatic reordering rule generation and application of generated reordering rules in stochastic reordering model is presented. ...
In this paper, proposed function tag and part-of-speech tag reordering rule extraction algorithms are used to generate reordering rule automatically and First Order Markov theory is applied to implement ...
Therefore, reordering rules are generated automatically using part-of-speech tag, function tags and lexical information. ...
doi:10.5120/3321-4563
fatcat:straef3sgzfv3a7cdifqz2hfxi
The University of Padova at CLEF 2003: Experiments to Evaluate Probabilistic Models for Automatic Stemmer Generation and Query Word Translation
2003
Conference and Labs of the Evaluation Forum
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Prefix + + ML Generic Suffix ÙÖ ½ Ó Ó Ø ´×Ø Ñ¸ Ö Ú Ø ÓÒµ Ô Ö Ó ÛÓÖ Û Ø Ò Ø ÔÖÓ Ð ×Ø Ö Ñ ÛÓÖ º ×ØÖ Ò × Ò Ö Ø Ø Ö ×ÔÐ ØØ Ò Û ÓÖ Û ¾ Ï ÒØÓ ÐÐ Ø ÔÓ×× Ð ÔÓ× Ø ÓÒ׺ Á Ü ¾ Í Ò Ý ¾ Í Ö Ø ÔÖ ¬Ü Ò Ø ×ÙAEÜ Ó Ø ÛÓÖ ...
ÓÒ Ó ØÛÓ Ò Ö ÔÖ ¬Ü × Ò ×ÙAEÜ ×º Ì Ù× Û Ò ÑÔÐÓÝ Ñ Ü Ñ ÙÑ Ð Ð ÓÓ ´Åĵ Ö Ø Ö ÓÒ ÓÖ ÒØ Ý Ò Ø ÑÓ×Ø ÔÖÓ Ð Ô Ö Ó ×Ù ß×ØÖ Ò ×º º º Ø ×Ø Ñ Ò Ö Ú Ø ÓÒ¸ × × ÓÛÒ Ò ¬ ÙÖ ½º Ä Ø Í Ø × Ø Ó ×Ù ß Stem Derivation Word Generic ...
dblp:conf/clef/NunzioFMO03a
fatcat:upqsul3vrfhdbcnozplp5h2uwm
Automatic Generation of Model Translations
[chapter]
Advanced Information Systems Engineering
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We then propose novel techniques for the automatic generation of model translations. ...
In general, given an information source, different translations can be defined for the same target model. In this work, we first identify general properties that "good" translations should fulfill. ...
In this paper, we focus our attention on the problem of the automatic generation of "good" data model translations. ...
doi:10.1007/978-3-540-72988-4_4
dblp:conf/caise/PapottiT07
fatcat:odezoxu4uve6rg3feviive3yhi
GENERALIZED NET MODEL OF THE AUTOMATIC NATURAL LANGUAGE TRANSLATION
2007
Eighth Int. Workshop on GNs
unpublished
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A GN-model Here we shall describe a GN-model (see Fig. 1 ) that translates a given sentence and recognize its sense. ...
The text recognition and translation is another direction of research that will be illustrated with the next example. The process will be modelled in an abstract form. ...
fatcat:jpgkl6paxnaexjlfu6qemmtmhq
High Quality Implementation for Automatic Generation C# Code by Event-B Pattern
2014
International Journal of Software Engineering & Applications
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In this paper we applied and discussed the three phases of automatic code generation philosophy on two case studies the first is "minimum algorithm" and the second one is a model for ATM. ...
The benefits of our proposal are reducing the prove effort, reusability, increasing the automation degree and generate high quality code. ...
C# Translation Philosophy Automatic generation of source code may be regarded as an "open-loop" refinement step. ...
doi:10.5121/ijsea.2014.5104
fatcat:valq2kd6frhh5dqvumke2iksam
Automatic Scoring for Translations Based on Language Models
2022
Computational Intelligence and Neuroscience
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Due to the similarity between the quality evaluation of responses generated by the dialogue system and the translation results submitted by students, we selected two metrics of dialogue to automatically ...
In conclusion, the method is feasible to apply the evaluation metrics of dialogue systems to translation scoring, and it can provide an improvement idea for the automatic scoring of translations in the ...
Acknowledgments is research was funded by Educational Commission of Anhui Province of China, grant numbers 2020szzx25 and SK2019A0712. It was also funded by Bengbu University, grant number 2020FZKT7. ...
doi:10.1155/2022/2171206
pmid:35800703
pmcid:PMC9256364
fatcat:xmoew3mt2rf3vmly5lb2ampbuq
Deep Learning for Automatic Image Captioning in Poor Training Conditions
2018
Italian Journal of Computational Linguistics
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automatic captioning of images. ...
This paper introduces a simple methodology to automatically acquire a large-scale corpus of 600 thousand image/sentences pairs in Italian. ...
Automatic translation: before or after sentence generation? ...
doi:10.4000/ijcol.538
fatcat:h6vpbh4bjbdljdyelvgc2v4fsy
Towards Automatic Face-to-Face Translation
2019
Proceedings of the 27th ACM International Conference on Multimedia - MM '19
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2020 pre-print arXiv:2003.00418v1 fatcat:tz3v5nosojaunj3eg67yn72d7q
In light of the recent breakthroughs in automatic machine translation systems, we propose a novel approach that we term as "Face-to-Face Translation". ...
We then move towards "Face-to-Face Translation" by incorporating a novel visual module, LipGAN for generating realistic talking faces from the translated audio. ...
We adapt state-of-the-art neural machine translation and textto-speech models [25, 31] to work for Indian languages and generate translated speech in language L B . ...
doi:10.1145/3343031.3351066
dblp:conf/mm/RMPJNJ19
fatcat:giqt2lb6dbcx3o2gswha4ilo6y
Design and Testing of Automatic Machine Translation System Based on Chinese-English Phrase Translation
2021
Mobile Information Systems
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of machine automatic translation systems based on the combination of Chinese-English phrase translation, and explain the role of machine automatic translation in promoting the development of translation ...
In this article, through the combination of machine translation experiments and machine automatic translation system design methods, the design and testing of machine automatic translation systems based ...
Acknowledgments is study was supported by the Scientific Research Program funded by Shaanxi Provincial Education Department (grant no. 18JK1188) and the Scientific Research Foundation of Xijing University ...
doi:10.1155/2021/3539155
fatcat:wy5lglyuz5b5heumbkmzksbzbu
CLEF-2006 CL-SR at Maryland: English and Czech
[chapter]
2007
Lecture Notes in Computer Science
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automatic transcription and manually generated metadata, respectively. ...
Statistical translation models trained on European Parliament proceedings were found to be poorly matched to this task, yielding 38% and 44% of monolingual mean average precision for indexing based on ...
umd.akey.asr used both ASR text and the automatic Czech translations of the automatically generated thesaurus terms. ...
doi:10.1007/978-3-540-74999-8_99
fatcat:pxddxyukqnfvvfkiphje34pqxq
A Description Method for Formalizing Domain-Specific Modelling Language
2018
Computer systems science and engineering
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Finally, many successful experiments on automatic translating and automatic verifying show feasibility of our formal approach ...
models and use a classic case to illustrate our approach; based on this, we construct an automatic translator for formalizing DSML and its models. ...
This work was supported by the National Natural Science Foundation of China under Grant No. 61363022. ...
doi:10.32604/csse.2018.33.299
fatcat:2n7utuynbzblblxie3dc6yfrui
Automatic Generation of Children's Songs Based on Machine Statistic Learning
2018
International Journal of Emerging Technologies in Learning (iJET)
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In this paper, the automatic generation of children's songs is studied. ...
through the language model automatically. ...
learning translation to the automatic generation of the second line of the couplet. ...
doi:10.3991/ijet.v13i03.8367
fatcat:3fllmrc6vrcw7gd7jf2mohtzie
Paraphrasing for Style
2012
International Conference on Computational Linguistics
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The plays of William Shakespeare and their modern translations are used as a testbed for evaluating paraphrase systems targeting a specific style of writing. ...
We show that even with a relatively small amount of parallel training data, it is possible to learn paraphrase models which capture stylistic phenomena, and these models outperform baselines based on dictionaries ...
Modern Translations Access to parallel text in the target style allows us to train statistical models that generate paraphrases, and also perform automatic evaluation of semantic adequacy using BLEU, which ...
dblp:conf/coling/XuRDGC12
fatcat:ufxkx2chmveh3awoslmj53btii
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training
[article]
2019
arXiv
pre-print
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In a pipeline speech translation system, automatic speech recognition (ASR) system will transmit errors in recognition to the downstream machine translation (MT) system. ...
A standard machine translation system is usually trained on parallel corpus composed of clean text and will perform poorly on text with recognition noise, a gap well known in speech translation community ...
In [13] seq2seq model was used to align speech with translated text, and [14] can only generate bags of words. ...
arXiv:1909.11430v3
fatcat:mzxgb57tung5vixko56btcqgy4
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