Wikipedia pages typically contain inter-language links to the corresponding pages in other languages. These links, however, are often incomplete. This paper describes a set of experiments in which the viability of discovering such missing inter-language links for ambiguous nouns by means of a cross-lingual Word Sense Disambiguation approach is investigated. The input for the inter-language link...

This paper presents an unsupervised method for automatic Chinese word sense induction. The algorithm is based on clustering the similar words according to the contexts in which they occur. First, the target word which needs to be disambiguated is represented as the vector of its contexts. Then, reconstruct the matrix constituted by the vectors of target words through singular value decompositio...

An unsupervised method for word sense disambiguation using a bilingual comparable corpus was developed. First, it extracts statistically significant pairs of related words from the corpus of each language. Then, aligning pairs of related words translingually, it calculates the correlation between the senses of a first-language polysemous word and the words related to the polysemous word, which ...

We have developed an online interface for running all the current state-of-the-art algorithms for WSD. This is motivated by the fact that exhaustive comparison of a new Word Sense Disambiguation (WSD) algorithm with existing state-of-the-art algorithms is a tedious task. This impediment is due to one of the following reasons: (1) the source code of the earlier approach is not available and ther...

This paper briefly reports our submissions to the Semantic Textual Similarity (STS) task in the SemEval 2012 (Task 6). We first use knowledge-based methods to compute word semantic similarity as well as Word Sense Disambiguation (WSD). We also consider word order similarity from the structure of the sentence. Finally we sum up several aspects of similarity with different coefficients and get th...

Measuring the similarity between text fragments at the sentence level is made difficult by the fact that two sentences that are semantically related may not contain any words in common. This means that standard IR measures of text similarity, which are based on word co-occurrence and designed to operate at the document level, are not appropriate. While various sentence similarity measures have ...

We introduce an iterative approach to subgraph-based Word Sense Disambiguation (WSD). Inspired by the Sudoku puzzle, it significantly improves the precision and recall of disambiguation. We describe how conventional subgraph-based WSD treats the two steps of (1) subgraph construction and (2) disambiguation via graph centrality measures as ordered and atomic. Consequently, researchers tend to fo...

Nagy (1988) states that vocabulary is a prerequisite factor in comprehension. Drawing upon a reductionist approach and having in mind the prospects for material development, this study aimed at creating an English for Academic Purposes Word List (EAPWL). The corpus of this study was compiled from a corpus containing 6479 pages of texts, 2,081,678 million tokens (running words) and 63825 types (...

the word salat is one of the most significant qur’anic words, which is used in various verses. the researchers have suggested various concepts for this word in their researches. however, since these suggestions were not scholarly well-grounded, the choice of the equivalents have somehow suffered disorder and inconsistency. there is also disagreement concerning the root of the word and its being...

Assessment is considered as one of the fundamental elements in the field of foreign language acquisition. In order for communication take place, adequate number of vocabulary is needed to be known by the learners. The salient role of vocabulary in the field of foreign language acquisition resulted in the publication of several hundreds of papers and dozens of books. Due to the dominant role of ...