This paper reports on the development and evaluation of an Italian broadcast news corpus at ITC-irst, under a contract with the European Language resources Distribution Agency (ELDA). The corpus consists of 30 hours of recordings transcribed and annotated with conventions similar to those adopted by the Linguistic Data Consortium for the DARPA HUB-4 corpora. The corpus will be completed and rel...

Modern text linguistics pays serious attention to the significant structural elements of the text, which carry special knowledge. Such structural elements include the title. In this article, the title is considered as a linguistic and cognitive characteristic and a spatially fixed structural element of the text – «frame», which is located around/before/behind the text, focusing on the importanc...

This paper will discuss issues relevant to corpus development and publication at the LDC and will illustrate those issues by examining the history of three LDC corpora. This paper will also briefly examine alternative corpus creation and distribution methods and their challenges. The intent of this paper is to increase the available linguistic resources by describing the regulatory and technica...

For increased speed in developing gigaword language resources for medium resource density languages we integrated several FOSS tools in the HUN* toolkit. While the speed and efficiency of the resulting pipeline has surpassed our expectations, our experience in developing LDC-style resource packages for Uzbek and Kurdish makes clear that neither the data collection nor the subsequent processing ...

We made use of parallel texts to gather training and test examples for the English lexical sample task. Two tracks were organized for our task. The first track used examples gathered from an LDC corpus, while the second track used examples gathered from a Web corpus. In this paper, we describe the process of gathering examples from the parallel corpora, the differences with similar tasks in pre...

This paper describes ongoing efforts at Linguistic Data Consortium to create shared evaluation resources for improved speech-to-text technology. The DARPA EARS Program (Effective, Affordable, Reusable Speech-to-Text) is focused on enabling core STT technology to produce rich, highly accurate output in a range of languages and speaking styles. The aggressive EARS program goals motivate new appro...

          Advertising will use a rich range of expression techniques at all levels language. Not so rarely, tropes are used in advertising. Types the most common types tropes: allegory, hyperbole, irony, metaphor, metonymy, comparison, epithet. The phraseological expressions no less expressive. Journalists often phraseology as not only language but a...

We introduce SAPIENS, a platform for extracting quotations from news wires, associated with their author and context. The originality of SAPIENS is that it relies on a deep linguistic processing chain, which allows for extracting quotations with a wide coverage and an extended definition, including quotations which are only partially quotes-delimited verbatim transcripts. We describe the archit...

Large-scale corpus development demands substantial infrastructure. As part of this infrastructure, the Linguistic Data Consortium (LDC) has adopted the Annotation Graph Toolkit (AGTK) as a primary resource for annotation tool development. This paper reports on LDC’s experiences using AGTK to develop and implement highly customized annotation tools for a variety of large-scale corpus creation ef...