We present two methods for the automatic creation of parallel corpora. Whereas previous work into the automatic construction of parallel corpora has focused on harvesting them from the web, we examine the use of existing parallel corpora to bootstrap data for new language pairs. First, we extend existing parallel corpora using co-training, wherein machine translations are selectively added to t...

The Linguistic Data Consortium at the University of Pennsylvania has recently been engaged in the creation of large-scale annotated corpora of broadcast news materials in support of the ongoing Topic Detection and Tracking (TDT) research project. The TDT corpora were designed to support three basic research tasks: segmentation, topic detection, and topic tracking in newswire, television and rad...

Speech technology applications, such as speech recognition, speech synthesis, and speech dialog systems, often require corpora based on highly customized specifications. Existing corpora available to the community, such as TIMIT and other corpora distributed by LDC and ELDA, do not always meet the requirements of such applications. In such cases, the developers need to create their own corpora....

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

In this paper we consider corpora as a set of XML documents. The guidelines for the creation of the corpora determine the semantics of the data, stored in them. Usually the guidelines prescribe the actual structure of the corpora, the used symbols, their meaning and the relations among them. Ideally, the software supporting the creation of a corpus has to allow all the constraints that follow f...

The development of annotated corpora is a critical process in the development of speech applications for multiple target languages. While the technology to develop a monolingual speech application has reached satisfactory results (in terms of performance and effort), porting an existing application from a source language to a target language is still a very expensive task. In this paper we addr...

Treebank creation is a very labor-consuming task, especially if the applications intended include machine learning, gold standard parser evaluation or teaching, since only a manually checked syntactically annotated corpus can provide optimal support for these purposes. There are, however, possibilities to make the annotation process (partly) automatic, saving (manual) annotation time and/or all...

In this paper we present the evaluation results for the creation of WordNets for five languages (Spanish, French, German, Italian and Portuguese) using an approach based on parallel corpora. We have used three very large parallel corpora for our experiments: DGT-TM, EMEA and ECB. The English part of each corpus is semantically tagged using Freeling and UKB. After this step, the process of WordN...

AIFdb Corpora provides a facility to group Argument Interchange Format (AIF) argument maps and search for maps that are related to each other (for example, analyses of related texts.) Users can create and share corpora containing any number of argument maps from within AIFdb. By integrating with the OVA+ analysis tool, AIFdb Corpora allows for the creation of corpora compliant with both AIF and...