State-of-the-art statistical machine translation (MT) systems have made significant progress
towards producing user-acceptable translation output. However, there is still no efficient way …

The translation quality of Statistical Machine Translation (SMT) depends on the amount of
input data especially for morphologically rich languages. Farsi (Persian) language is such a …

Short vowels in Arabic are normally omitted in written text which leads to ambiguity in the
pronunciation. This is even more pronounced for dialectal Arabic where a single word can …

A developer wanting to create a speech synthesizer in a new voice for an under-resourced
language faces hard problems. These include difficult decisions in defining a phoneme set …

This paper proposes a bootstrapping method of constructing a new spoken language
understanding (SLU) system in a target language by utilizing statistical machine translation …

The study provides an empirical analysis of long-term user behavioral changes and varying
user strategies during cross-lingual interaction using the multimodal speech-to-speech …

A very useful service to the example-based machine translation (EBMT) community was
provided by Harold Somers in his summary article which appeared in 1999, and was …

Parallel corpora are the necessary resources in many multilingual natural language
processing applications, including machine translation and cross-lingual information …

In building practical two-way speech-to-speech translation systems the end user will always
wish to use the system in an environment different from the original training data. As with all …

Current speech-to-speech translation systems lack any mechanism to handle out-of-
vocabulary words that did not appear in the training data. To improve the usability of these …