body linguistic in general and cohesion in particular have been seriously explored by many linguists since the middle of 20th century so that in fact it was considered as the essential basis for discourse analysis at next years. by looking at the subjects that were purposed in this new branch of linguistics and comparing it with linguistic researches among muslims, we may encounter some evidenc...

We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new domain. The system performs efficiently because it determines the level of processing required to understand a text. This "skimming" method identifies surface relations in the input text that are likely to contribute t...

There has been a long relationship between the fields of information management and natural language processing, going back at least as far as [9], and revived in many of the text retrieval subtasks pursued under the aegis of the annual TREC conferences[4]. It has been assumed that linguistic processing can only improve performance in the processes of indexing and retrieval in full-text informa...

Data and central issue. It is by now a well-known fact that that the semantic processing of an utterance usually involves different sources of information which are used in parallel to arrive at a coherent interpretation of this utterance in the given context. Three principle sources must be distinguished: (i) the (linguistic) meaning of the lexical items; (ii) (non-linguistic) world and situat...

Aligned parallel corpora are very important linguistic resources useful in many text processing tasks such as machine translation, word sense disambiguation, dictionary compilation, etc. Nevertheless, there are few available linguistic resources of this type, especially for fiction texts, due to the difficulties in collecting the texts and high cost of manual alignment. In this paper, we descri...

We describe and evaluate an implemented system for general-knowledge question answering. The system combines techniques for standard ad-hoc information retrieval (IR), query-dependent text summarization, and shallow syntactic and semantic sentence analysis. In a series of experiments we examine the role of each statistical and linguistic knowledge source in the question-answering system. In con...

In this contribution, we present a computational stylistic study of the French classic literature texts based on a data-driven approach where discovering interesting linguistic patterns is done without any prior knowledge. We propose an objective interestingness measure to extract meaningful stylistic syntactic patterns from a given author’s work. Our hypothesis is based on the fact that the mo...

We attack each task through a combination of statistical and linguistic approaches. The proposed statistical approaches extend existing methods in IR by performing statistical computations within the context of another query or document. The proposed linguistic approaches build on existing work in information extraction and rely on a new technique for trainable partial parsing. In short, our in...

Speech synthesis is the artificial production of human speech. A system used for this purpose is termed a speech synthesizer, and can be implemented in software or hardware. Speech synthesis systems are often called text-to-speech (TTS) systems in reference to their ability to convert text into speech. However, systems exist that instead render symbolic linguistic representations like phonetic ...

We present SWEGRAM, a web-based tool for the automatic linguistic annotation and quantitative analysis of Swedish text, enabling researchers in the humanities and social sciences to annotate their own text and produce statistics on linguistic and other text-related features on the basis of this annotation. The tool allows users to upload one or several documents, which are automatically fed int...