Translation apps and devices are often presented in the context of providing assistance
while traveling abroad. However, the spectrum of needs for cross-language communication …

Non-native speakers (NNS) often face challenges gaining the speaking floor in
conversations with native speakers (NS) of a common language. To help NNS to contribute …

We contribute to the intersection of multilingualism and human-computer interaction (HCI)
with our investigation of language preferences in the context of the interface design of …

Multiparty collaboration using a common language is often challenging for nonnative
speakers (NNS). Conversation can move forward rapidly, with terms and references …

While videoconferencing is prevalent, concurrent participation channels are limited. People
experience challenges keeping up with the discussion, and misunderstanding frequently …

Conversational grounding, or establishing mutual knowledge that messages have been
understood as intended, can be difficult to achieve when some conversational participants …

The present work explores the potential of leveraging a teamwork agent's identity–signaled
through its gendered voice–to support marginalized individuals in gender-imbalanced …

Abstract Machine translation models are embedded in larger user-facing systems. Although
model evaluation has matured, evaluation at the systems level is still lacking. We review …

Language barrier is the primary challenge for effective cross-lingual conversations. Spoken
language translation (SLT) is perceived as a cost-effective alternative to less affordable …

Machine translation (MT) creates both opportunities and challenges for multilingual
collaboration: While MT enables collaborators to communicate via their native languages, it …