The EuTransAll project aims at using example-based approaches for the automatic
development of Machine Translation systems accepting text and speech input for limited …

Language Understanding can be considered as the realization of a map** from sentences
of a natural language into a description of their meaning in an appropriate formal language …

Subsequential transducers are finite state models that can be successfully employed in
small to medium sized translation tasks. Among other advantages, they can be automatically …

This paper describes advances in the use of confusion networks as interface between
automatic speech recognition and machine translation. In particular, it presents a decoding …

The PAC and other equivalent learning models are widely accepted models for polynomial
learnability of concept classes. However, negative results abound in the PAC learning …

In this paper, we describe a first version of a system for statisticaltranslation and present
experimental results. The statistical translationapproach uses two types of information: a …

While spoken language translation remains a research goal, a crude form of it is widely
available commercially for Japanese–English as a pipeline concatenation of speech-to-text …

Formal studies of learning abstract grammars have, for decades, yielded deep results, some
practical applications and quite a lot of fun. But no one believes that children learn the …

The use of bilingual word classes greatly reduces the amount of data needed for training
subsequential transducers, a finite state model adequate for small to medium translation …

The goal of this work is to improve current translation models by taking into account
additional knowledge sources such as semantically motivated segmentation or statistical …