Text readability is typically defined in terms of “grade level”; the expected educational level of the reader at which the text is directed. Mechanisms for measuring readability in English documents are well established; however this is not in case in many other languages, such as syllabic alphabetic languages. In this paper seven different mechanisms for assessing the readability of syllabic a...

This paper investigates the problem of automatic chemical Term Recognition (TR) and proposes to tackle the problem by fusing Symbolic and statistical techniques. Unlike other solutions described in the literature, which only use complex and costly human made ruledbased matching algorithms, we show that the combination of a seven rules matching algorithm and a näıve Bayes classifier achieves hig...

We are interested in diacritizing Semitic languages, especially Syriac, using only diacritized texts. Previous methods have required the use of tools such as part-of-speech taggers, segmenters, morphological analyzers, and linguistic rules to produce state-of-the-art results. We present a low-resource, data-driven, and language-independent approach that uses a hybrid wordand consonant-level con...

For definitional QA, we adopted a hybrid approach that combines several complementary technology components. Information retrieval (IR) was used to retrieve from the corpus the relevant documents for each question. Various linguistic and extraction tools were used to analyze the retrieved texts and to extract various types of kernel facts from which the answer to the question is generated. Thes...

In this paper, opinion polarity classification on news texts has been carried out for a less privileged language Bengali using Support Vector Machine (SVM). The present system identifies semantic orientation of an opinionated phrase as either positive or negative. The classification of text as either subjective or objective is clearly a precursor to determining the opinion orientation of evalua...

Since most of private communication schemes based on chaotic synchronization are not robust again plain-texts attacks, the introduction of delays in the schemes can be regarded as an efficient method to improve the security degree with respect to such attack. As an extension of our recent work, this paper proposes a new analogue private communication scheme based on hybrid chaotic systems with ...

This paper presents a hybrid case-based reasoning (CBR) and information retrieval (IR) system, called SPIRE, that both retrieves documents from a full-text document corpus and from within individual documents, and locates passages likely to contain information about important problem-solving features of cases. SPIRE uses two case-bases, one containing past precedents, and one containing excerpt...

The period character’s meaning is highly ambiguous due to the frequency of abbreviations that require to be followed by a period. We have developed a hybrid method for period character disambiguation and the identification of abbreviations, combining rules that explore regularities in the right context of the period with lexicon-based, statistical methods which scrutinize the preceding token. T...

In this paper, we focus on detecting the profile of authors (age, gender) through their discussions. The 2014 Pan@Clef corpus consists of 4 sub-corpuses: tweets, blogs, social media and reviews. The proposed method is based on automatic classification, which uses some data extracted statistically from a source corpus. We present a hybrid method that combines the analysis of data in texts with a...

This paper provides a synthesis of text-based Question Answering (QA) approaches, with emphasis on models exploiting structured representations of texts, and recent QA approaches for knowledge bases. Our goal is to show the common issues, and to identify what can be a common approach, using both the relations from textual documents and the triplets from knowledge bases. We present a few works u...