: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
We propose to search for common abstractions for different concurrency models to enable high-level language virtual machines to support a wide range of different concurrency model...
Abstract: We outline an object-oriented extension to Camelot, a functional language in the ML family designed for resource aware computation. Camelot is compiled for the Java Virtu...
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPO...