We propose a phrase-based context-dependent joint probability model for Named Entity (NE) translation. Our proposed model consists of a lexical mapping model and a permutation model. Target phrases are generated by the context-dependent lexical mapping model, and word reordering is performed by the permutation model at the phrase level. We also present a twostep search to decode the best result...

Existing discourse research only focuses on the monolingual languages and the inconsistency between languages limits the power of the discourse theory in multilingual applications such as machine translation. To address this issue, we design and build a bilingual discource corpus in which we are currently defining and annotating the bilingual elementary discourse units (BEDUs). The BEDUs are th...

To examine the expression of personality in virtual worlds (VWs), we tracked the behavioral and linguistic output of 76 students continuously over a six-week period in the VW Second Life (SL). Behavioral metrics in SL were consistent over time, but low stabilities were observed for linguistic metrics. To examine the ways in which personality manifested in SL, participant's Big Five scores were ...