Search

In the later years the amount of freely available multilingual corpora has grown in an exponential way. Unfortunately the way these corpora are made available is very diverse, ranging from simple text files or specific XML schemas to supposedly standard formats like the XML Corpus Encoding Initiative, the Text Encoding Initiative, or even the Translation Memory Exchange formats. In this document we defend the usage of Translation Memory Exchange documents, but we enrich its structure in order to support the annotation of the documents with different information like lemmas, multi-words or entities. To support the adoption of the proposed formats, we present a set of tools to manipulate the different formats in an agile way.

Parallel text alignment is a key procedure in the automated translation area. A large number of aligners have been presented along the years, but these require that the target resources have been pre-prepared for alignment (either manually or automatically). It is rather normal to encounter mixed language documents, that is, documents where the same information is written in many languages (Ex: manuals of electronic devices, touristic information, PhD thesis with dual language abstracts, etc). In this article we present MLT-prealigner: a tool aimed at helping those that need to process mixed texts in order to feed alignment tools and other related language systems., (undefined), info:eu-repo/semantics/publishedVersion

In our days, the notion, the importance and the significance of parallel corpora is so big that needs no special introduction. Unfortunately, public available parallel corpora is somewhat limited in range. There are big corpora about politics or legislation, about medicine and other specific areas, but we miss corpora for other different areas. Currently there is a huge investment on using the Web as a corpus. This article uncovers GWB, a tool that aims automatic construction of parallel corpora from the web. We defend that it is possible to build high quality terminological corpora in an automatic fashion, just by specifying a sensible Internet domain and using an appropriate set of seed keywords. GWB is a web-spider that works in conjunction with a set of other Open-Source tools, defining a pipeline that includes the documents retrieval from the web, alignment at sentence level and its quality analysis, bilingual dictionaries and terminology extraction and construction of off-line dictionaries.

The Marker Hypothesis was first defined by Thomas Green in 1979. It is a psycho-linguistic hypothesis defining that there is a set of words in every language that marks boundaries of phrases in a sentence. While it remains a hypothesis because nobody has proved it, tests have shows that results are comparable to basic shallow parsers with higher efficiency. The chunking algorithm based on the Marker Hypothesis is simple, fast and almost language independent. It depends on a list of closed-class words, that are already available for most languages. This makes it suitable for bilingual chunking (there is not the requirement for separate language shallow parsers). This paper discusses the use of the Marker Hypothesis combined with Probabilistic Translation Dictionaries for example-based machine translation resources extraction from parallel corpora.

Parallel corpora are rich sources of translation resources. This document presents a methodology for the extraction of bilingual nominals (terminology candidates) from parallel corpora, using translation patterns. The patterns proposed in this work specify the order changes that occur during translation and that are intrinsic to the involved languages syntaxes. These patterns are described in a domain specific language named PDL (Pattern Description Language), and are extremely efficient for the detection of nominal phrases., Los corpora paralelos son fuentes ricas en recursos de traducción. Este documento presenta una metodología para la extracción de sintagmas nominales bilingües (candidatos terminológicos) a partir de corpora paralelos, utilizando reglas de traducción. Los modelos propuestos en este trabajo especifican las alteraciones en el orden de las palabras que se producen durante la traducción y que son intrínsecos a la sintaxis de las lenguas implicadas. Estas reglas se describen en un lenguaje de dominio específico llamado PDL (Pattern Description Language) y son sumamente eficientes para la detección de sintagmas nominales., Alberto Simoes has a scholarship from Fundacao para a Computacao Cientifica Nacional and the work reported here has been partially funded by Fundacao para a Ciencia e Tecnologia through project POSI/PLP/43931/2001, co-financed by POSI, and by POSC project POSC/339/1.3/C/NAC.

This paper describes NATools, a toolkit to process, analyze and extract translation resources from Parallel Corpora. It includes tools like a sentence-aligner, a probabilistic translation dictionaries extractor, word-aligner, a corpus server, a set of tools to query corpora and dictionaries, as well as a set of tools to extract bilingual resources., Alberto Simoes has a scholarship from Fundacao para a Computacao Cientifica Nacional and the work reported here has been partially funded by Fundacao para a Ciencia e Tecnologia through project POSI/PLP/43931/2001, co-financed by POSI, and by POSC project POSC/339/1.3//NAC.

Parallel corpora are important resources for most Natural Language processing tasks. From the common applications, like machine translation, to the usually mono-lingual tasks as paraphrase detection and word sense disambiguation, most researchers are using massive parallel corpora. Thus, the availability of an efficient way to manage them is very important. This paper presents a Client-Server architecture to query efficiently parallel corpora and probabilistic translation dictionaries., Los corpora paralelos son importantes para la mayoría de las tareas de procesamiento de Lenguaje Natural. Gran parte de los investigadores utilizan los corpora paralelos empleando-los en aplicaciones comunes, como la traducción máquina, y en tareas mono-linguísticas, como sean la detección de paráfrasis y la resolución de problemas de ambiguedad semántica. Este trabajo ha sido orientado por estas cuestiones y propone una arquitectura cliente-servidor de interrogación eficiente de corpora paralelos y diccionarios de traducción probabilística.

Este documento presenta el proyecto TerminUM y el trabajo realizado en su alineador estadístico a nivel de palabra (NATools). Muestra una variedad de métodos de alineamento para corpora paralelos y discute los diccionarios terminológicos resultantes y su uso: evaluación de traducciones; construcción de un sistema de navegación para estudios lingüísticos, o traducción estadística., This document presents the TerminUM project and the work done in its statistical word aligner workbench (NATools). It shows a variety of alignment methods for parallel corpora and discusses the resulting terminological dictionaries and their use: evaluation of sentence translations; construction of a multi-level navigation system for linguistic studies or statistical translations.

One of the bottlenecks of example-based machine translation (EBMT) is to be able to amass automatically quantities of good examples. In our work in EBMT, we are investigating how far one can go by performing example extraction from parallel corpora using Probabilistic Translation Dictionaries to obtain example segmentation points. In fact, the success of EBMT highly depends on examples quality and quantity, but also in their length. Thus, we give special importance on methods to extract different size examples from the same translation unit. With this article we show that it is possible to extract quantities for examples from parallel corpora just using probabilistic translation dictionaries extracted from the same corpora., This work has been partially funded by Fundação para a Ciência e Tecnologia of Portugal (FCT) through grant POSI/PLP/43931/2001, and co- financed by POSI, within Linguateca.