In a multilingual diversity country like India, language translation plays a significant factor in
the area of text processing application such as information extraction, machine learning …

Parallel corpora are crucial for statistical machine translation (SMT); however, they are quite
scarce for most language pairs and domains. As comparable corpora are far more available …

Building parallel resources for corpus based machine translation, especially Statistical
Machine Translation (SMT), from comparable corpora has recently received wide attention …

Mining parallel data from comparable corpora is a promising approach for overcoming the
data sparseness in statistical machine translation and other natural language processing …

The analyzing and extracting important information from a text document is crucial and has
produced interest in the area of text mining and information retrieval. This process is used in …

Parallel corpora are essential resources for statistical machine translation (SMT) and cross
language information retrieval (CLIR) systems. Creating parallel corpora is highly expensive …

Aiming at the problems existing in the Chinese-Khmer parallel corpus, such as single field,
small scale, and poor timeliness, a method of Chinese-Khmer parallel fragment extraction …

This paper presents how an state-of-the-art SMT system is enriched by using an extra in-
domain parallel corpora extracted from Wikipedia. We collect corpora from parallel titles and …

Over the past few decades, due to a continuing surge in the amount of content being
translated and ever increasing pressure to deliver high quality and high throughput …

Abstract Machine translation (MT), as a high level application of natural language
processing (NLP), is a powerful tool to improve the efficiency and reduce the cost of …