We present a study that investigates that factors that determine what makes a good lexical substitution. We begin by observing that there is a correlation between the corpus frequency of words and the number of WordNet senses they have, and hypothesise that readers might prefer common, but more ambiguous words over less ambiguous but also less common ones. We identify four properties of a word ...

Sub-categorized arguments introduced by the French preposition pour has been under-studied in previous work, as can be seen from the incompleteness of existing lexical-syntactic resources in that regard. In this paper, we briefly introduce the various types of sub-categorization in pour, which are to be distinguished from occurrences of pour as a discourse connective. We describe how we added a...

This paper explores the feasibility of constructing a document relevance calculating model based on lexical cohesion with structure analysis. In this model, by extracting the semanticrelative word clusters in documents according to the lexicon cohesion principle, documents are formalized in expressions which are composed of lexicon chains with structure information. And based on this kind of re...

We present an unsupervised method to find lexical variations in Roman Urdu informal text. Our method includes a phonetic algorithm UrduPhone, a featurebased similarity function, and a clustering algorithm Lex-C. UrduPhone encodes roman Urdu strings to their phonetic equivalent representations. This produces an initial grouping of different spelling variations of a word. The similarity function ...

Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sentences used to objectively present factual information. There are numerous applications for which subjectivity tagging is relevant, including information extraction and information retrieval. This paper identifies strong clues of subjectivity using the results of a method for clustering words accor...

Dutch words with certain final consonant clusters are subject to optional schwa epenthesis. The present research aimed at investigating how Dutch listeners deal with this type of phonological variation. By means of syllable monitoring experiments, it was investigated whether Dutch listeners process words with epenthetic schwa (e.g., ’balluk’) as bisyllabic words or rather as monosyllabic words....

Along with explosion of information, how to cluster large-scale documents has become more and more important. This paper proposes a novel document clustering algorithm (CLCL) to solve this problem. This algorithm first constructs lexical chains from feature space to reflect different topics which input documents contain, and documents also can be separated into clusters by these lexical chains....

In this study, the authors examined the language of 43 participants with chronic schizophrenia under the basic assumption that a paradigmatic shift is needed in the methodology used to investigate the language of schizophrenia. The pragmatic protocol (C. Prutting and D. Kirchner, 1987) was chosen as the method of analysis to attain a general profile of pragmatic abilities. The results showed th...

We exploit the resources in the Arabic Treebank (ATB) for the novel task of automatically creating lexical semantic verb classes for Modern Standard Arabic (MSA). Verbs are clustered into groups that share semantic elements of meaning as they exhibit similar syntactic behavior. The results of the clustering experiments are compared with a gold standard set of classes, which is approximated by u...

Wordnets are lexical databases in which words are organized into clusters based on their meanings, and they are linked to each other through different semantic and lexical relations. The first wordnet called the Princeton WordNet was created for English, which were followed by various wordnets created within the framework of the EuroWordNet and BalkaNet projects, among others. Here we focus on ...