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DAGAM: Data Augmentation with Generation And Modification [article]

Byeong-Cheol Jo, Tak-Sung Heo, Yeongjoon Park, Yongmin Yoo, Won Ik Cho, Kyungsun Kim
2022 arXiv   pre-print
Text classification is a representative downstream task of natural language processing, and has exhibited excellent performance since the advent of pre-trained language models based on Transformer architecture  ...  We conduct data augmentation for six benchmark datasets of text classification task, and verify the usefulness of DAG, DAM, and DAGAM through BERT-based fine-tuning and evaluation, deriving better results  ...  Conclusion In this study, we propose three methods to augment natural language data based on existing corpora.  ... 
arXiv:2204.02633v1 fatcat:yfsydmt76ngx7bpw6sdu2coe5u

Open PROMOL: An Experimental Language for Target Program Modification [chapter]

Vytautas Štuikys, Robertas Damaševičius, Giedrius Ziberkas
2002 System on Chip Design Languages  
We demonstrate the applicability of the language to perform modifications by widening, narrowing and isolating functionality in VHDL.  ...  We describe the syntax and semantics of the basic constructs of the language.  ...  In many cases, we can merge similar components into a single generalized (or generic) specification through the usage of the functions. • Abstraction.  ... 
doi:10.1007/978-1-4757-6674-5_20 fatcat:6xr6nssf35f4hoc4gqiqad4clq

On Information Hiding in Natural Language Systems [article]

Geetanjali Bihani, Julia Taylor Rayz
2022 arXiv   pre-print
We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural  ...  In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality  ...  Language Structure-based Methods Early research towards carrier modification based NLS also utilized the structure of natural language itself to hide information.  ... 
arXiv:2203.06512v1 fatcat:amvkiajuyzejbkemm2mpruu5yu

On Information Hiding in Natural Language Systems

Geetanjali Bihani, Julia Taylor Rayz
2022 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
We believe that this study will act as an appropriate framework to build more resilient models of Natural Language Steganography, working towards instilling security within natural language-based neural  ...  In this paper, we take a look at Natural Language Steganography (NLS) methods, which perform information hiding in natural language systems, as a means to achieve data security as well as confidentiality  ...  Language Structure-based Methods Early research towards carrier modification based NLS also utilized the structure of natural language itself to hide information.  ... 
doi:10.32473/flairs.v35i.130602 fatcat:zgd26ndaqbdnphwqxiyypwvi4i

A Survey :On Text To Speech Synthesis

Ramita P. Karpe
2018 International Journal for Research in Applied Science and Engineering Technology  
Text-to-speech (TTS) synthesizer converts an input text into speech waveforms. It has been an effective tool for many visually challenged people for reading through hearing feedback.  ...  India is called as the land of unity and diversity, with 22 official languages being spoken throughout the country.  ...  Natural Language processing (NLP) is an interesting area of research, which takes natural language text or speech and explores useful things.  ... 
doi:10.22214/ijraset.2018.3054 fatcat:cmobtkhnuvb7dpcx7kv6nhmwwu

Automatic Radiology Report Editing Through Voice

Manh Hung Nguyen, Vu Hoang, Tu Anh Nguyen, Trung H. Bui
2021 Conference of the International Speech Communication Association  
The system combines two components, the first is the Speech Recognition System (SRS), and the second is the Natural Language Understanding System (NLUS) that executes the user's command.  ...  We present a system that allows radiologists to edit the radiology report through their voices.  ...  The second one is the Natural Language Understanding System (NLUS), which receives the transcribed text and parses it to execute the user's request.  ... 
dblp:conf/interspeech/NguyenHNB21 fatcat:fzsdahmccvb2bfdlihl656lt7y

Translingual visual speech synthesis

Tanveer Afzal Faruquie
2005 Journal of the Acoustical Society of America  
We present a novel scheme to implement a language independent system for audio-driven facial animation given a speech recognition system for just one language, in our case, English.  ...  Based on an incoming audio stream, a face image is animated with full lip synchronization.  ...  In the case of text based visual synthesis, we give text as input to the system in Figure 1 and the speech recognition unit is replaced by the text to speech synthesis unit.  ... 
doi:10.1121/1.2040281 fatcat:52qyvexmabdbpiiwuc3ezvb47i

A review of the generation of requirements specification in natural language using objects UML models and domain ontology

Alaa Abdalazeim, Farid Meziane
2021 Procedia Computer Science  
This includes studying the generation of natural language from a formal model, review the generation of natural language from ontologies, and finally reviews studies about check to generate natural language  ...  This includes studying the generation of natural language from a formal model, review the generation of natural language from ontologies, and finally reviews studies about check to generate natural language  ...  [28] designed a Natural Language Generation system that used RDF data to generate Natural language text depending on Ontology and Ontology lexicon through the natural language generation process.  ... 
doi:10.1016/j.procs.2021.05.102 fatcat:ehjiod3kdvectoibcc2q5kpjny

SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech [article]

Hyunjae Cho, Wonbin Jung, Junhyeok Lee, Sang Hoon Woo
2022 arXiv   pre-print
With this replacement, our model generates speeches with moderate rhythm regardless of source speaker in cross-lingual synthesis.  ...  In this paper, we present SANE-TTS, a stable and natural end-to-end multilingual TTS model.  ...  Through DAT, the text encoder learns speaker-independent text representation, and the model can generate speeches from general texts.  ... 
arXiv:2206.12132v1 fatcat:smn72ewqpvappg5c6tj2fn3jli

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Fahd N. AL-WESABI
2020 IEICE transactions on information and systems  
Fifth-level order of Markov model is used as a natural language processing technique in order to analyze the Arabic text.  ...  In this paper, a Hybrid of Natural Language Processing and Zero-Watermarking Approach (HNLPZWA) has been proposed for the content authentication and tampering detection of Arabic text.  ...  Acknowledgements The author extends his appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Research Groups under grant number (R. G.  ... 
doi:10.1587/transinf.2020edp7011 fatcat:cly6hoy5rfe7zaucoubgwuuece

Generating Natural Language Adversarial Examples

Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
We hope our findings encourage researchers to pursue improving the robustness of DNNs in the natural language domain.  ...  Given these challenges, we use a black-box population-based optimization algorithm to generate semantically and syntactically similar adversarial examples that fool well-trained sentiment analysis and  ...  Relative to the image domain, little work has been pursued for generating natural language adversarial examples.  ... 
doi:10.18653/v1/d18-1316 dblp:conf/emnlp/AlzantotSEHSC18 fatcat:orn7hr6hprhptpecx46q2oedqa

VISUALLY IMPAIRED STUDENTS EDUCATION THROUGH INTELLIGENT TECHNOLOGIES

Lindita Ademi, Valbon Ademi
2018 Knowledge International Journal  
The problem for developing a TTS (text-to-speech) is a very active field of research.  ...  The main problem faced by us was to make the synthesized speech sound natural.  ...  In a similar way, as is the case with words, the case of generating speech from syllables is considered.  ... 
doi:10.35120/kij28031133l fatcat:ubgvevtqbzahjfiviai5u5wv7m

Automatic annotation of visual deep neural networks [article]

Ming Li, ChenHao Guo
2021 arXiv   pre-print
The automatic annotation method of visual depth neural network proposed in this paper is based on natural language processing technology such as semantic analysis, which realizes automatic labeling of  ...  Computer vision is widely used in the fields of driverless, face recognition and 3D reconstruction as a technology to help or replace human eye perception images or multidimensional data through computers  ...  After that, until the 1970s, natural language processing mainly adopted the rule-based method, that is, the term extraction was completed through the term dictionary and Rule Template written by experts  ... 
arXiv:2110.03851v1 fatcat:5hluf73ywrbyngpceedysxugqy

Autoregressive Linguistic Steganography Based on BERT and Consistency Coding [article]

Xiaoyan Zheng, Hanzhou Wu
2022 arXiv   pre-print
With the widespread application of deep learning in natural language processing, recent algorithms use a language model (LM) to generate the steganographic text, which provides a higher payload compared  ...  Linguistic steganography (LS) conceals the presence of communication by embedding secret information into a text. How to generate a high-quality text carrying secret information is a key problem.  ...  ACKNOWLEDGEMENT This work was supported by the National Natural Science Foundation of China under Grant number 61902235, and the Shanghai Chenguang Program under Grant number 19CG46.  ... 
arXiv:2203.13972v1 fatcat:ejwzsnjnmvf35ae5sxaaurltwq

Generating Natural Language Adversarial Examples [article]

Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang
2018 arXiv   pre-print
We hope our findings encourage researchers to pursue improving the robustness of DNNs in the natural language domain.  ...  Given these challenges, we use a black-box population-based optimization algorithm to generate semantically and syntactically similar adversarial examples that fool well-trained sentiment analysis and  ...  Supplemental Materials: Generating Natural Language Adversarial Examples Additional Sentiment Analysis Results Original Text Prediction = Positive.  ... 
arXiv:1804.07998v2 fatcat:c5kknmwlprfwdotgnswgkdjdby
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