Traditionally, Controlled Natural Languages (CNLs) are designed either to avoid ambiguity for human readers, or to facilitate automatic semantic analysis, so that texts can be transcoded to a knowledge representation language. CNLs of the second kind have recently been adapted to the requirements of knowledge formation in OWL for the Semantic Web. We suggest in this paper a variant approach bas...

There are many types of documents where machine-printed and handwritten texts intermixedly appear. Since the optical character recognition (OCR) methodologies for machine-printed and handwritten texts are di€erent, to achieve optimal performance it is necessary to separate these two types of texts before feeding them to their respective OCR systems. In this paper, we present a machine-printed a...

This paper describes a text-based knowledge representaion system, capable of abductive inference. The system, called TextNet, uses the semantic information rendered by WordNet o process texts and to connect texts on the fly. Our system contains (1) a linguistic backbone, enhancing the semantics of WordNet 1.5., (2) corpora comprising indexed Treebank texts, html documents provided by web crawle...

In the social sciences, culture is often explored via the use of knowledgeable informants and direct observation. In this paper we present a novel approach for cultural investigation that focuses on the statistical analysis of texts. We use Latent Semantic Analysis to generate a semantic space representing one or more cultures based on a corpus of texts. By comparing the vector representation o...

This paper proposes a simple metric of dialect distance, based on the ratio between identical word pairs and cognate word pairs occurring in two texts. Different variations of this metric are tested on a corpus containing comparable texts from different Swiss German dialects and evaluated on the basis of spatial autocorrelation measures. The visualization of the results as cluster dendrograms s...

Researchers in both machine Iranslation (e.g., Brown et al., 1990) and bilingual lexicography (e.g., Klavans and Tzoukermann, 1990) have recently become interested in studying parallel texts, texts such as the Canadian Hansards (parliamentary proceedings) which are available in multiple languages (French and English). This paper describes a method for aligning sentences in these parallel texts,...

In this paper we present a readability assessment system for Basque, ErreXail, which is going to be the preprocessing module of a Text Simplification system. To that end we compile two corpora, one of simple texts and another one of complex texts. To analyse those texts, we implement global, lexical, morphological, morpho-syntactic, syntactic and pragmatic features based on other languages and ...

Traditionally, Controlled Natural Languages (CNLs) are designed either to avoid ambiguity for human readers, or to facilitate automatic semantic analysis, so that texts can be transcoded to a knowledge representation language. CNLs of the second kind have recently been adapted to the requirements of knowledge formation in OWL for the Semantic Web. We suggest in this paper a variant approach bas...

Many real-world texts contain tables. In order to process these texts correctly and extract the information contained within the tables, it is important to identify the presence and structure of tables. In this paper, we present a new approach that learns to recognize tables in free text, including the boundary, rows and columns of tables. When tested on Wall Street Journal news documents, our ...

Code-switching is commonly used in the free-form text environment, such as social media, and it is especially favored in emotion expressions. Emotions in codeswitching texts differ from monolingual texts in that they can be expressed in either monolingual or bilingual forms. In this paper, we first utilize two kinds of knowledge, i.e. bilingual and sentimental information to bridge the gap betw...