Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have proven effective to differentiate between the relations. In this paper, we present a novel neural network model AntSynNET that exploits lexico-syntactic patterns from syntacti...

The Holy Quran, as an Arabic masterpiece, comprises great domains of syntactical, phonological, and semantic literary patterns. These patterns work as the shackle of translators. This study examined the application of the most common shift strategies in Catford‟s linguistic model for translation of topicalization in chapter 29 of the Holy Quran. The topicalized cases were compared to their coun...

We present MPL (Metapattern Language), a new formalism for defining patterns over dependency-parsed text, and GraphSpider, a matching engine for extracting dependency subgraphs which match against MPL patterns. Using a regexp-like syntax, MPL allows the definition of subgraphs matching user-specified patterns which can be constrained by word or word class, part-ofspeech tag, dependency type and...

Program understanding can be assisted by tools that match patterns in the program source. Lexical pattern matchers provide excellent performance and ease of use, but have a limited vocabulary. Syntactic matchers provide more precision, but may sacrifice performance, retargetability, ease of use, or generality. To achieve more of the benefits of both models, we extend the pattern syntax of AWK t...

Animal communication theory holds that many signals have evolved from nonsignal precursors. This field and laboratory study of California ground squirrels (Spermophilus beecheyi) provides evidence for the coexistence of such a precursor with its derived display. The precursor is an ancient, endogenously sequenced (syntactic) pattern of cephalocaudal grooming movements (CCGs) shared by all roden...

This patent concerns the traditional problem encountered in the syntactic Pattern Recognition (PR) of strings or sequences. The primary investigator involved in this work is a Full Professor at Carleton University in Ottawa, Canada, and is a Fellow of the IEEE. The primary problem solved by the invention involves determining the string or sequence that is most similar to a sequence presented to...

Grammar induction refers to the process of learning grammars and languages from data; this finds a variety of applications in syntactic pattern recognition, the modeling of natural language acquisition, data mining and machine translation. This special topic contains several papers presenting some of recent developments in the area of grammar induction and language learning, as applied to vario...