In three experiments, we examined feedforward and feedback consistency effects in word recognition. Feedforward consistency is the degree to which a word's pronunciation is consistent with that of similarly spelled words, and feedback consistency refers to whether there is more than one way to spell a pronunciation. Previously, Stone, Vanhoy, and Van Orden (1997) reported feedforward and feedback consistency effects for low-frequency words in a lexical decision task. We investigated the effect of feedforward and feedback consistency for both high- and low-frequency words in lexical decision and naming. In both tasks, we found that feedforward and feedback inconsistent words were processed more slowly than consistent words, regardless of word frequency. These findings indicate that both types of consistency are involved in visual word recognition.

No abstract

No abstract

Using machine translation output as a starting point for human translation has recently gained traction in the translation community. This paper describes cdec Realtime, a framework for building adaptive MT systems that learn from post-editor feedback, and TransCenter, a web-based translation interface that connects users to Realtime systems and logs post-editing activity. This combination allows the straightforward deployment of MT systems specifically for post-editing and analysis of human translator productivity when working with these systems. All tools, as well as actual post-editing data collected as part of a validation experiment, are freely available under an open source license.

No abstract