This study is qualitative in nature and aims to highlight a genuine difficulty with the translation that many foreign translators have. Put another way,idiomatic expressions cultural terms cannot be translated easily. They need very carefully, keeping view intercultural subtleties. In this study, Munshi Premchand’s three short stories originally written Urdu into English have been selected for ...

Every language contains complex expressions that are language-specific. The general problem when trying to build au tomated translation systems or human-readable dictionaries is to detect expressions that can be used idiomatically and then whether the expressions can be used idiomatically in a particular text, or whether a literal t ranslat ion would be preferred. It follows from the definition...

Idiomatic expressions can be problematic for natural language processing applications as their meaning cannot inferred from constituting words. A lack of successful methodological approaches and sufficiently large datasets prevents the development machine learning detecting idioms, especially that do not occur in training set. We present an approach called MICE uses contextual embeddings purpos...

We address the problem of classifying multiword expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classified as either idiomatic or literal. Our approach hinges upon the assumption that a literal VNC will have more in common with its component words than an idiomatic one. Commonality is mea...

Semantic Role Labeling annotation task depends on the correct identification of predicates, before identifying arguments and assigning them role labels. However, most predicates are not constituted only by a verb: they constitute Complex Predicates (CPs) not yet available in a computational lexicon. In order to create a dictionary of CPs, this study employs a corpus-based methodology. Searches ...

Idiom token classification is the task of deciding for a set of potentially idiomatic phrases whether each occurrence of a phrase is a literal or idiomatic usage of the phrase. In this work we explore the use of Skip-Thought Vectors to create distributed representations that encode features that are predictive with respect to idiom token classification. We show that classifiers using these repr...