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Within the Ambient Assisted Living (AAL) community, Brain-Computer Interfaces (BCIs) have raised great hopes as they provide alternative communication means for persons with disabilities bypassing the need for speech and other motor activities. Although significant advancements have been realized in the last decade, applications of language models (e.g., word prediction, completion) have only recently started to appear in BCI systems. The main goal of this article is to review the languagedoi:10.3390/s140405967 pmid:24675760 pmcid:PMC4029701 fatcat:aimxdybxinhfrbugdlicqhbtmi