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Most of the world languages are resource-poor for statistical machine translation; still, many of them are actually related to some resource-rich language. Thus, we propose three novel, language-ind...
Newly coined words pose problems for natural language processing systems because they are not in a system’s lexicon, and therefore no lexical information is available for such words. A common way to...
We present an open-source frameworkfor large-scale online structured learning.Developed with the flexibility to handle cost-augmented inference problems suchas statistical machine translation (SMT), o...
Source monitoring can be influenced by information that is external to the study context, such as beliefs and general knowledge (Johnson, Hashtroudi, & Lindsay, 1993). We investigated the extent to wh...
This study describes and analyzes a teacher-education partnership between two institutions of higher education (IHEs) and three local educational agencies (LEAs) located in a large suburban area. Work...

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