In recent years, machine translation has made significant advancements; however, its
effectiveness can vary widely depending on the language pair. Languages with limited …

This paper addresses the task of handling unknown terms in SMT. We propose using source-
language monolingual models and resources to paraphrase the source text prior to …

Unknown words are one of the key factors which drastically impact the translation quality.
Traditionally, nearly all the related research work focus on obtaining the translation of the …

We introduce a method for learning to translate out-of-vocabulary (OOV) words. The method
focuses on combining sublexical/constituent translations of an OOV to generate its …

Unknown words are one of the key factors that greatly affect the translation quality.
Traditionally, nearly all the related researches focus on obtaining the translation of the …

The Indian aviation industry has been one of the fastest growing in the world since the last
decade. Aviation experts anticipate it to be the largest in the world by 2030. The accelerated …

Unknown word (UKW) is an obvious problem of machine translation and named entity (NE)
is the most common UKW type. In this paper, we will present a new approach based on the …

Vocabulary of natural language is an open set. So we cannot collect all words of a
language. Therefore, arising unknown word (UKW) in statistical machine translation (SMT) is …

Dependency structures represent a sentence as a set of dependency relations. Normally the
dependency structures from a tree connect all the words in a sentence. One of the most …

In recent times, the translation and transliteration capabilities are growing at an
unprecedented rate. The increasing research in machine translation [MT] has led to the …