This study presents a Long Short-Term Memory (LSTM) neural network approach to Japanese word segmentation (JWS). Previous studies on Chinese word segmentation (CWS) succeeded in using recurrent neural networks such as LSTM and gated recurrent units (GRU). However, in contrast to Chinese, Japanese includes several character types, such as hiragana, katakana, and kanji, that produce orthographic ...

Implicit discourse relation recognition is an extremely challenging task due to the lack of indicative connectives. Various neural network architectures have been proposed for this task recently, but most of them suffer from the shortage of labeled data. In this paper, we address this problem by procuring additional training data from parallel corpora: When humans translate a text, they sometim...

Steganography is the ability to hide secret information in a cover-media such as sound, pictures and text. A new approach is proposed to hide a secret into Arabic text cover media using "Kashida", an Arabic extension character. The proposed approach is an attempt to maximize the use of "Kashida" to hide more information in Arabic text cover-media. To approach this, some algorithms have been des...

According to rise of social networking services, short text like micro-blogs has become a valuable resource for practical applications. When using text data in applications, similarity estimation between text is an important process. Conventional methods have assumed that an input text is sufficiently long such that we can rely on statistical approaches, e.g., counting word occurrences. However...

Identifying the relationship between two text objects is a core research problem underlying many natural language processing tasks. A wide range of deep learning schemes have been proposed for text matching, mainly focusing on sentence matching, question answering or query document matching. We point out that existing approaches do not perform well at matching long documents, which is critical,...

Biometrics, the computer-based verification or identification of an individual, is becoming more and more essential due to the increasing demand for high-security systems. Accurate and effective keystroke biometric technology can help provide a major boost to the security of electronic commerce, and it can help curb identify theft. We focus here on two keystroke biometric applications that oper...

Long-term F0 modeling for text-independent speaker recognition is considered using both parametric and nonparametric approaches. In the parametric case, mean, variance, skewness, and kurtosis are computed and the parameter vectors are compared using weighted Euclidean distance. In the nonparametric case, F0 distribution is represented by a histogram, and KullbackLeibler distance is used in addi...

the term “sānād” i-e (persian historical document) is an important key word in history. although there are many researches about purport, applicable field of “sanad” but historical linguistic of this term is little-known. in regard to that this word have not a long use by mean “written” and “document” in  iranian historical texts, therefore  mind question of this article is: when this term in r...

Nowadays, social media networks generate a tremendous amount of information from their users. To understand people’s views and sentimental tendencies on commodity or an event timely, it is necessary to conduct text sentiment analysis the expressed by For microblog comment data, always mixed with long short texts, which relatively complex. Especially for contains lot content, correlation between...