Neural machine translation systems have revolutionized processes in terms of quantity and speed recent years, they even been claimed to achieve human parity. However, the quality their output has also raised serious doubts concerns, such as loss lexical variation, evidence “machine translationese”, its effect on post-editing, which results “post-editese”. In this study, we analyze outputs three...

In this system demonstration paper we present a cloud-based platform providing online terminology services for human and machine users. We focus on the use case for the application of online terminology services in statistical machine translation and describe the applied methods for monolingual and bilingual terminology integration into statistical machine translation during training and transl...

This paper describes the TALP phrase-based statistical machine translation system, enriched with the statistical machine reordering technique. We also report the combination of this system and the TALP-tuple, the n-gram-based statistical machine translation system. We report the results for all the tasks (Chinese, Arabic, Italian and Japanese to English) in the framework of the third evaluation...

This paper describes statistical machine translation system of ISTIC used in the evaluation campaign of the patent machine translation task at NTCIR-10. In this year's evaluation, we participated in patent machine translation tasks for ChineseEnglish, Japanese-English and English-Japanese. Here we mainly describe the overview of the system, the primary modules, the key techniques and the evalua...

This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is only modeled within the limits of translation units. Relying only in the reordering provided by translation units may not be good enough in most l...

We present in this paper our work on comparison between Statistical Machine Translation (SMT) and Rule-based machine translation for translation from Marathi to Hindi. Rule Based systems although robust take lots of time to build. On the other hand statistical machine translation systems are easier to create, maintain and improve upon. We describe the development of a basic Marathi-Hindi SMT sy...

There are two primary approaches to the use bilingual dictionary in statistical machine translation: (i) the passive approach of appending the parallel training data with a bilingual dictionary and (ii) the pervasive approach of enforcing translation as per the dictionary entries when decoding. Previous studies have shown that both approaches provide external lexical knowledge to statistical ma...

We present in this paper our work on comparison between Statistical Machine Translation (SMT) and Rule-based machine translation for translation from Marathi to Hindi. Rule Based systems although robust take lots of time to build. On the other hand statistical machine translation systems are easier to create, maintain and improve upon. We describe the development of a basic Marathi-Hindi SMT sy...