We propose a novel way of incorporating dependency parse and word co-occurrence information into a state-of-the-art web-scale ngram model for spelling correction. The syntactic and distributional information provides extra evidence in addition to that provided by a web-scale n-gram corpus and especially helps with data sparsity problems. Experimental results show that introducing syntactic feat...

The improved performance of the sparteine surrogate compared to sparteine in a range of applications has highlighted the need to develop an approach to the (-)-sparteine surrogate, previously inaccessible in gram-quantities. A multi-gram scale, chromatography-free synthesis of the racemic sparteine surrogate and its resolution via diastereomeric salt formation with (-)-O,O'-di-p-toluoyl-l-tarta...

We present Nada: the Non-Anaphoric Detection Algorithm. Nada is a novel, publicly-available program that accurately distinguishes between the referential and non-referential pronoun it in raw English text. Like recent state-of-the-art approaches, Nada uses very large-scale web N-gram features, but Nada makes these features practical by compressing the N-gram counts so they can fit into computer...

The web data contains immense amount of data, hundreds of billion words are waiting to be extracted and used for language research. In this work we introduce our tool LanguageCrawl which allows Natural Language Processing (NLP) researchers to easily construct web-scale corpus the from Common Crawl Archive: a petabyte scale open repository of web crawl information. Three use-cases are presented:...

abstract       background and objective: the spread of drug resistance in bacteria have prompted researchers to seek suitable alternative for antimicrobial drugs among various medicinal plants and nanoparticles. the aim of this study was to evaluate the effect of silver nanoparticles alone and in combination with methanol extract of zataria multiflora on five gram-positive and gram-negative bac...