Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance, and identifying sentiment and emotion toward products and services. We describe successes and challenges in this rapidly advancing area. Copyright © 2015, American Association for the Advancement of Science.

In this article, the author provides a new view on intimate relationships with “virtual humans” such as robots and AIs. Recent technological developments have enabled firms to create humanlike robots and AIs. It is likely that, in the near future, a growing number of people will want intimate relationships with these virtual humans. This may receive harsh criticism, for example, that such a move would indicate objectification of women or ethical wrongdoing. Instead, however, it should be viewed in light of quality of life (QOL) for sexual minorities and people with various difficulties. Aided by the discussion of the introduction of the Long Term Public Care Insurance (LTCI) system in Japan in the late 1990s, the author positions this trend as the “socialification” of familyship  –  that is, a phenomenon in which the virtual humans, as products or services offered by businesses, become partners/family members, and a change by which some parts of the intimate relationships within families are shared in society. Just as the LTCI system, which was introduced as a socialification of nursing care, reduced the burden of care on Japanese women and improved their QOL, adoption of virtual humans as a socialification of familyship is also likely to improve the QOL of people with difficulties worldwide.