Most recent sentence simplification systems use basic machine translation models to learn
lexical and syntactic paraphrases from a manually simplified parallel corpus. These methods …

This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …

Large-scale annotated corpora are a prerequisite to develo** high-performance NLP
systems. Such corpora are expensive to produce, limited in size, often demanding linguistic …

High-quality parallel data is crucial for a range of multilingual applications, from tuning and
evaluating machine translation systems to cross-lingual annotation projection. Unfortunately …

We describe improvements made over the past year to Joshua, an open-source translation
system for parsing-based machine translation. The main contributions this past year are …

We describe the version six release of Joshua, an open-source statistical machine
translation toolkit. The main difference from release five is the introduction of a simple …

We present a simple, prepackaged solution to generating paraphrases of English
sentences. We use the Paraphrase Database (PPDB) for monolingual sentence rewriting …

In this paper, we introduce a simple technique for incorporating domain information into a
statistical machine translation system that significantly improves translation quality when test …

Our team from the JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge
Base tasks in this year's Text Analysis Conference Knowledge Base Population evaluation …

In this paper, we leverage the existence of dual subtitles as a source of parallel data. Dual
subtitles present viewers with two languages simultaneously, and are generally aligned in …