Articles

. Divergence related to mapping patterns between two or more natural languages is a common phenomenon. The patterns of divergence between two languages need to be identified and strategies devised to handle them to obtain correct translation from one language to another. In the literature on MT, some attempts have …...

Machine translation (MT) is a complex and a difficult task. It is not possible to achieve human competing performance with the present state of technology. Automating the process of translation of natural languages requires a number of knowledge sources and their appropriate invocation in the translation engine. A practical machine …...

. We propose a method for building a spoken-language text corpus for a spoken- language system. Conventional methods to build a new corpus include transcribing re- corded conversations, collecting text from existing documents, or writing original texts. However, these often have difficulties, such as insufficient corpus size and low cost …...

. We present an overview of MedSLT, an Open Source platform for developing limited-domain medical speech translation systems. We focus in particular on the speech understanding architecture, which uses grammar-based language models derived using cor- pus-based specialisation methods from a single linguistically motivated grammar, and summarise the results of two …...

In this paper we propose an approach to corpus-based generation in a machine translation framework that is similar to shake & bake (Whitelock, 1992). A bag of words is mapped against an automatically induced TL template grammar and a sentence is generated by recursively applying rules that are extracted from …...

. The paper presents the design concept of the VoiceTRAN Communicator that in- tegrates speech recognition, machine translation and text-to-speech synthesis using the DARPA Galaxy architecture. The aim of the project is to build a robust multimodal speech-to-speech translation communicator able to translate simple domain-specific sentences in the Slove- nian-English …...

. The Language Translation Interface (LTI) is a prototype developed for the Aus- tralian Defence Organisation. The aim is provide a single, simple, interface to a variety of MT tools and utilities for personnel who need to produce translations when they have no easy access to human translators. Now that …...

. Ambiguous words pose very serious problems to existing machine translation systems. The Translation Checker, a system part of Translution Central addresses this prob- lem by allowing users to disambiguate words in their own language, with little or no knowledge of the target language. In order to achieve this, a …...

. We propose the design, implementation and evaluation of a novel and modular approach to boost the translation performance of existing, wide-coverage, freely available machine translation systems based on reliable and fast automatic decomposition of the translation input and corresponding composition of translation output. We provide details of our method, …...

. This paper describes how word alignment information makes machine translation more effi- cient. Following a statistical approach based on finite-state transducers, we perform reordering of source sentences in training using automatic word alignments and estimate a phrase-based translation model. Using this model, we translate monotonically taking a permutation graph …...

. This paper describes the development of Finnish linguistic resources for use in MedSLT, an Open Source medical domain speech-to-speech translation system. The paper describes the collection of medical sub-domain corpora for Finnish, the creation of the Fin- nish generation grammar by adapting the original English grammar, the composition ofthe …...

. Machine Translation (MT) is the focus of extensive scientific in- vestigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat artificial task: translating news articles into En- glish. In this paper, we investigate how well current MT approaches deal with a real-world task. We have …...

. Since subsentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system which operates by finding and combining phrase-level matches against the training examples, we recently decided to de- velop a new alignment algorithm for the purpose of improving the EBMT system’s per- formance. …...

. We describe a new approach for synthetically combining the output of several different Machine Translation (MT) engines operating on the same input. The goal is to pro- duce a synthetic combination that surpasses all of the original systems in translation quality. Our approach uses the individual MT engines as …...

. In this paper we present experiments concerning translation model adaptation for statistical machine translation. We develop a method to adapt translation models using in- formation retrieval. The approach selects sentences similar to the test set to form an adapted training corpus. The method allows a better use of additionally …...

. In this paper, we present a translation memory (TM) based system to augment a statistical translation (SMT) system. It is used for translating sentences which have close matches in the training corpus. Given a test sentence, we first extract sentence pairs from the training corpus, whose source side is …...

. This paper describes the collaboration between MT developer/service provider, Terence Lewis (Hook & Hatton Ltd) and the Translation Office of Siemens Nederland N.V. (Siemens Netherlands). It involves the use of the developer’s Dutch-English MT software to translate technical documentation for divisions of the Siemens Group and for external customers. …...

. The translation of prepositions is often considered one of the more difficult tasks within the field of machine translation. We describe an experiment using transformation- based learning to induce rules to select the appropriate target language preposition from aligned bilingual data. Results show an accuracy of 84.9%, to be …...

. In this paper we investigate the possibility of evaluating MT quality and fluency at the sentence level in the absence of reference translations. We measure the correlation between automatically-generated scores and human judgments, and we evaluate the per- formance of our system when used as a classifier for identifying …...

. The paper proposes an unsupervised method to extract translation equivalents from parallel corpora. The strategy we use takes into account the context of words. Given a word of the source language and a particular context, we learn its word translation within an equivalent context. We first extract pairs of …...