Abstract Speech-to-Text (ST) translation pertains to the task of converting speech signals in
one language to text in another language. It finds its application in various domains, such as …

How to find proper moments to generate partial sentence translation given a streaming
speech input? Existing approaches waiting-and-translating for a fixed duration often break …

Simultaneous speech-to-text translation is widely useful in many scenarios. The
conventional cascaded approach uses a pipeline of streaming ASR followed by …

Abstract Streaming Machine Translation (MT) is the task of translating an unbounded input
text stream in real-time. The traditional cascade approach, which combines an Automatic …

Although Transformers have gained success in several speech processing tasks like spoken
language understanding (SLU) and speech translation (ST), achieving online processing …

Document-level contextual information has shown benefits to text-based machine
translation, but whether and how context helps end-to-end (E2E) speech translation (ST) is …

Facing a new technological turn, the field of interpreting is in great need of evidence on the
effectiveness of computer-assisted interpreting. This study proposes a computer-assisted …

Encoder-decoder models provide a generic architecture for sequence-to-sequence tasks
such as speech recognition and translation. While offline systems are often evaluated on …

The use of computer-based technologies by non-native Arabic-speaking teachers for
teaching native Arabic-speaking students can result in higher learner engagement. In this …

Interpreters facilitate multi-lingual meetings but the affordable set of languages is often
smaller than what is needed. Automatic simultaneous speech translation can extend the set …