We present and compare various methods for computing word alignments using statistical or
heuristic models. We consider the five alignment models presented in Brown, Della Pietra …

In this work, new approaches for machine translation using statistical methods are
described. In addition to the standard source-channel approach to statistical machine …

We present a framework for word alignment based on log-linear models. All knowledge
sources are treated as feature functions, which depend on the source langauge sentence …

The present invention performs machine translation by matching fragments of a source
language sentence to be translated to source language portions of an example in example …

Abstract Machine translation of human languages (for example, Japanese, English,
Spanish) was one of the earliest goals of computer science research, and it remains an …

Abstract∗ Traditional word alignment approaches cannot come up with satisfactory results
for Named Entities. In this paper, we propose a novel approach using a maximum entropy …

Questions are asked and answered every day. Question answering (QA) technology aims to
deliver the same facility online. It goes further than the more familiar search based on …

This paper proposes an approach to improve word alignment for languages with scarce
resources using bilingual corpora of other language pairs. To perform word alignment …

From the contents: Stig JOHANSSON: Towards a multilingual corpus for contrastive analysis
and translation studies.-Anna SAGVALL HEIN: The PLUG project: parallel corpora in …

Bilingual corpora play an important role as resources not only for machine translation
research and development but also for studying tasks in comparative linguistics. Manual …