Combining Statistical Machine Translation and Translation Memories with Domain Adaptation

Automatic Standardization of Arabic Dialects for Machine Translation

Based on an annotated multimedia corpus, television series Mar{\=a}y{\=a} 2013, we dig into the question of ''automatic standardization'' of Arabic dialects for machine translation. Here we distinguish between rule-based…

Translation Memories as Baselines for Low-Resource Machine Translation

Low-resource machine translation research often requires building baselines to benchmark estimates of progress in translation quality. Neural and statistical phrase-based systems are often used with out-of-the-box settin…

On the annotation of TMX translation memories for advanced leveraging in computer-aided translation

The term advanced leveraging refers to extensions beyond the current usage of translation memory (TM) in computer-aided translation (CAT). One of these extensions is the ability to identify and use matches on the sub-seg…

A machine translation system combining rule-based machine translation and statistical post-editing

Combining Translation Memories and Syntax-Based SMT: Experiments with Real Industrial Data