Many Natural Language Processing and Computational Linguistics applications involves the generation of new texts based on some existing texts, such as summarization, text simplification and machine translation. However, there has been a serious problem haunting these applications for decades, that is, how to automatically and accurately assess quality of these applications. In this paper, we wi...

Exploring expository texts presents an interesting and important challenge. They are read routinely and extensively in the form of online newspapers, web-based articles, reports, technical and academic papers. We present a system, called Texplore, which assists readers in exploring the content of expository texts. The system provides two mechanisms for text exploration, an expandable outline th...

Optical Character recognition is used to digitize and reproduce texts that have been produced with non-computerized system. Digitizing texts also helps reduce storage space. Editing and Reprinting of Text document that were printed on paper are time consuming and labour intensive. Optical Character recognition is also useful for visually impaired people who cannot read Text document, but need t...

In the framework of machine translation of multilingual parallel texts, the technique of alignment is based on statistical models and shallow linguistic parsing methods. When addressing the problem to corpora where different versions are derived or interpreted from the same source, we need further criteria to consider the forms of disparity between these versions. In this article we propose a c...

with the growth of social,cultural and religious exchanges in the world, the translation of religious-islamic texts into german has been spreading in iran.in this way,there is a special sensitivity in translation that the translators face and difficulties which are sometimes insolvable.this sensitivity involves both the structure and content of the texts, because errors and mistakes in the tran...

Audiovisual documents provide a wide range of content description through more descriptors from different media types. Indeed, the extraction of these descriptions has received an increasing attention. But, the lack of semantic description always persists. In fact, this lack affects the retrieval process. To address this problem, this paper describes an automatic and semantic description of cin...

This study explores the textual characteristics, more precisely the quantity and diversity of nouns, of Japanese prime ministers' Diet addresses. In the field of stylistics, textual characteristics independent of the content have been examined with the aim on detecting the authors, genres, and chronological variations of texts. This study focuses instead on textual characteristics related to th...

Conventional approaches to text analysis and information retrieval which measured document similarity by using considering all of the information in texts are a relatively inefficiency for processing large text collections in heterogeneous subject areas. This paper outlined a new text manipulation system FA-Sim that is useful for retrieving information in large heterogeneous texts and for recog...

The scientific aim of the project presented in this paper is to provide an approach to representing, organizing, and accessing conceptual content of biomedical texts using a formal ontology. The ontology is based on UMLS resources supplemented with domain ontologies developed in the project. The approach introduces the notion of ‘‘generative ontologies’’, i.e., ontologies providing increasingly...

Texts are complex structures emerging from an intricate system consisting of syntactical constraints and semantical relationships. While the complete modeling of such structures is impractical owing to the high level of complexity inherent to linguistic constructions, under a limited domain, certain tasks can still be performed. Recently, statistical techniques aiming at analysis of texts, refe...