This paper reports on a first experiment with developing a lexical knowledge resource for Urdu on the basis of Hindi WordNet. Due to the structural similarity of Urdu and Hindi, we can focus on overcoming the differences in the scriptual systems of the two languages by using transliterators. Various natural language processing tools, among them a computational semantics based on the Urdu ParGra...

A method is presented for segmenting text into subtopic areas. The proportion of related pairwise words is calculated between adjacent windows of text to determine their lexical similarity. The lexical cohesion relations of reiteration and collocation are used to identify related words. These relations are automatically located using a combination of three linguistic features: word repetition, ...

This paper describes ROSA, a software reuse system based on the processing of the natural language descriptions of software artifacts. Lexical, syntactic and semantic analysis of software descriptions is performed to automatically extract both verbal and nominal phrases from descriptions and use this information to create frame-based indexing units for software components. Retrieval similarity ...

This paper develops a graph-theoretical model of text representation based on lexical chaining. Other than present approaches to chaining, this model reflects the logical document structure of texts as well as semantic relations of their lexical constituents in order to compute text similarity values. By varying the terminological ontology used to induce such relations, a door is opened to syst...

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a sem...

Previous research has demonstrated that increases in phonotactic probability facilitate spoken word processing, whereas increased competition among lexical representations is often associated with slower and less accurate recognition. We examined the combined effects of probabilistic phonotactics and lexical competition by generating words and nonwords that varied orthogonally on phonotactics a...

Vector space models have been successfully used for lexical semantic representation. Some of these models rely on distributional properties of words in large corpora, and have been contrasted with human performance on semantic similarity and priming in lexical decision tasks. Neural network models of lexical representation have been classically of reduced size due to computational limitations. ...

We propose new parse-free event-based features to be used in conjunction with lexical, syntactic, and semantic features of texts and hypotheses for Machine Learning-based Recognizing Textual Entailment. Our new similarity features are extracted without using shallow semantic parsers, but still lexical and compositional semantics are not left out. Our experimental results demonstrate that these ...

This paper aims to predict mutual intelligibility (defined here as cross-dialectal word recognition) between 15 Chinese dialects from lexical and phonological distance measures. Distances were measured on the stimulus materials used in the experiment. Their predictive power was compared with earlier similar distance measures based on large word lists. Predictors based on just the stimulus mater...

Previous approaches on automatic extraction of lexical similarities have considered as semantic unit of text the word. However, the theoretical perspective of contextual lexical semantics suggests that larger segments of text, specifically non-compositional multiwords, are more appropriate for this role. We experimentally tested the applicability of this notion, applying automatic collocation e...