Most of the current methods for mining parallel texts from the web assume that web pages of web sites share same structure across languages. We believe that there still exists a nonnegligible amount of parallel data spread across sources not satisfying this assumption. We propose an approach based on a combination of bivec (a bilingual extension of word2vec) and locality-sensitive hashing which...

Engineers must at all costs avoid confusion and vagueness in their writing, because unclear writing can lead to costly, even disastrous, mistakes. Ultimately, writing clearly means paying attention to details like paragraphs and sentences. Paragraphs are the main organizational unit for writing, and readers tend to skim paragraphs to find main ideas. As a result, paragraphs need to be well stru...

The article discusses the algorithms for detecting and extracting lines, paragraphs with their properties attributes in PDF documents, analyses structure of PDF-file its objects. Due to special operators objects documents content is saved as symbols or symbol groups. position such groups on page also remains identical. main challenge that we face, while from document complex format able retain ...

This research aimed to find out the types of sentence structure errors in English paragraphs written by tertiary students and factors causing errors. employed an explanatory mixed-method design. Fourth-semester from department IAIN Curup were engaged as subjects this research. Positivism-governed document analyses constructivism-based interviews conducted solicit data desired. The quantitative ...

Semantic textual similarity (STS) measures the degree to which two texts share the same meaning. In Natural Language Processing, STS touches many different aspects, from thesaurus generation to machine translation. However, methods for measuring STS have often been developed only for very specific types of texts, such as for comparing two words or for comparing paragraphs. This disjoint approac...