the neighbourhood polynomial g , is generating function for the number of faces of each cardinality in the neighbourhood complex of a graph. in other word $n(g,x)=sum_{uin n(g)} x^{|u|}$, where n(g) is neighbourhood complex of a graph, whose vertices are the vertices of the graph and faces are subsets of vertices that have a common neighbour. in this paper we compute this polynomial for some na...

Translating accounting documents, in general, and accounting terminology, in particular, is not a simple task, especially when the new terms keep created in pace with accounting developments. This study was carried out to find the most common and preferable ways to translate accounting terms from English into Persian. Also, an attempt was made to identify the frequently used patterns of word-fo...

This paper describes a learning-based approach for automatic derivation of word variant forms by the suffixation process. We employ the sequence labeling technique, which entails learning when to preserve, delete, substitute, or add a letter to form a new word from a given word. The features used by the learner are based on characters, phonetics, and hyphenation positions of the given word. To ...

Translating accounting documents, in general, and accounting terminology, in particular, is not a simple task, especially when the new terms keep created in pace with accounting developments. This study was carried out to find the most common and preferable ways to translate accounting terms from English into Persian. Also, an attempt was made to identify the frequently used patterns of word-fo...

WordNet represents a cornerstone in the Computational Linguistics field, linking words to meanings (or senses) through a taxonomical representation of synsets, i.e., clusters of words with an equivalent meaning in a specific context often described by few definitions (or glosses) and examples. Most of the approaches to the Word Sense Disambiguation task fully rely on these short texts as a sour...

Open-text (or open-domain) semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR). Unfortunately, large scale systems cannot be easily machine-learned due to lack of directly supervised data. We propose here a method that learns to assign MRs to a wide range of text (using a dictionary of more than 70,000 words, whic...

This paper describes a character-based Chinese word sense induction (WSI) system for the International Chinese Language Processing Bakeoff 2010. By computing the longest common substrings between any two contexts of the ambiguous word, our system extracts collocations as features and does not depend on any extra tools, such as Chinese word segmenters. We also design a constrained clustering alg...

Since its original description the diagnosis of word deafness has been greatly expanded. Confusion has arisen with regard to the usage of the related terms pure word deafness, auditory agnosia, and cortical deafness. Three new cases of word deafness are presented including one case with CT and necropsy correlation. These cases are compared with 34 previously reported cases of various cortical a...