The demand for language translation has greatly increased in recent times due to increasing
cross-regional communication and the need for information exchange. Most material needs …

Over recent years, machine translation has achieved astounding accomplishments. Machine
translation has become more evident with the need to understand the information available …

In Brazil, there are approximately 9.7 million inhabitants who are deaf or hard of hearing.
Moreover, about 30% of the Brazilian deaf community is illiterate in Brazilian Portuguese …

This paper presents an extended, harmonised account of our previous work on combining
subsentential alignments from phrase-based statistical machine translation (SMT) and …

We describe a multi-step process for automatically learning reliable sub-sentential syntactic
phrases that are translation equivalents of each other and syntactic translation rules …

The main tasks in Example-based Machine Translation (EBMT) comprise of source text
decomposition, following with translation examples matching and selection, and finally …

This paper describes a novel technique for incorporating syntactic knowledge into
phrasebased machine translation through incremental syntactic parsing. Bottom-up and …

Abstract The CMU Statistical Transfer Framework (Stat-XFER) is a general framework for
developing search-based syntax-driven machine translation (MT) systems. The framework …

This paper describes an example-based machine translation (EBMT) method based on tree–
string correspondence (TSC) and statistical generation. In this method, the translation …

This paper describes ATR's hybrid approach to spoken language translation and it's
application to the IWSLT 2005 translation task. Multiple corpus-based translation engines …