A systematic comparison of various statistical alignment models
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In the last few years, the World Wide Web has changed tremendously. Now accessible to millions of users from hundreds of countries, it has started to show new online behaviors. Following the new patterns we now see many multilingual activities going on in large scales. In this paper, we provide an analysis on how this emerging usage patterns can affect the Machine Translation community. We identify the main motivations behind these activity patterns. Using examples we compare the traditional approaches to resource collection to new online-based approaches. We then present our experimental results of an online community designed to collect parallel corpora.