Exploiting Alignment in Multiparallel Corpora for Applications in Linguistics and Language
Learning Page 1 Exploiting Alignment in Multiparallel Corpora for Applications in Linguistics …

In this paper we propose an algorithm for computing the full lemma of German verbs that
occur in sentences with a separated prefix. The algorithm is meant for large-scale corpus …

In this paper we first give an overview of parallel corpus annotation, alignment and retrieval.
We present standard annotation methods such as Part-of-Speech tagging, lemmatization …

We present Multilingwis2, a web based search engine for exploration of word-aligned
parallel and multiparallel corpora. Our application extends the search facilities by Clematide …

Machine Translation (MT) has become an integral part of daily life for millions of people, with
its output being so fluent that users often cannot distinguish it from human translation …

We present a data-driven approach which exploits word alignment in a large parallel corpus
with the objective of identifying those verb-and adjective-preposition combinations which are …

Parallel text datasets are a valuable for educational purposes, machine translation, and
cross-language information retrieval, but few are domain-oriented. We have created a …

Text corpora come in many different shapes and sizes and carry heterogeneous
annotations, depending on their purpose and design. The true benefit of corpora is rooted in …

This work describes a blueprint for an application that generates language learning
exercises from parallel corpora. Word alignment and parallel structures allow for the …

Robust Neural Machine Translation Systems Page 1 Robust Neural Machine Translation
Systems Thesis presented to the Faculty of Arts and Social Sciences of the University of …