We describe a set of techniques that have been developed while collecting parallel texts for
Russian-English language pair and building a corpus of parallel sentences for training a …

We present a novel method for discovering parallel sentences in comparable, non-parallel
corpora. We train a maximum entropy classifier that, given a pair of sentences, can reliably …

We present a simple and effective method for extracting parallel sentences from comparable
corpora. We employ a statistical machine translation (SMT) system built from small amounts …

This paper describes the participation of the Portage team at NRC Canada in the shared
task1 of ACL 2005 Workshop on Building and Using Parallel Texts. We discuss Portage, a …

One of the most major and essential tasks in natural language processing is machine
translation that is now highly dependent upon multilingual parallel corpora. Through this …

We present two methods for the automatic creation of parallel corpora. Whereas previous
work into the automatic construction of parallel corpora has focused on harvesting them from …

Abstract The ACL-2005 Workshop on Parallel Texts hosted a shared task on building
statistical machine translation systems for four European language pairs: French–English …

In this work, we examine the quality of several statistical machine translation systems
constructed on a small amount of parallel Serbian-English text. The main bilingual parallel …

In this paper, we present two methods to use a noisy parallel news corpus to improve
statistical machine translation (SMT) systems. Taking full advantage of the characteristics of …

In recent decades, statistical approaches have significantly advanced the development of
machine translation systems. However, the applicability of these methods directly depends …