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The task of paraphrasing is inherently familiar to speakers of all languages. Moreover, the task of automatically generating or extracting semantic equivalences for the various units of language—words...
We propose a method for learning dialogue management policies from a fixed data set. The method addresses the challenges posed by Information State Update (ISU)-based dialogue systems, which r...
In his blurb on the back cover, Mark Liberman calls this book “the biggest step forward [in research on discourse structure] since Aristotle.” Given this eminent recommendation, I read the book with g...
Never say “never.” In 1997, most experts would have sworn that text-to-speech (TTS) synthesis technologies had reached a plateau, from which it would be very hard to leave. Five years later, speech ...
The Linguistic Annotation Framework (LAF) provides a general, extensible stand-off markup system for corpora. This paper discusses LAF-Fabric, a new tool to analyse LAF resources in general with an ex...
Runs of homozygosity (ROH) are sizeable stretches of homozygous genotypes at consecutive polymorphic DNA marker positions, traditionally captured by means of genome-wide single nucleotide polymorphism...
The wide variety of scientific user communities work with data since many years and thus have already a wide variety of data infrastructures in production today. The aim of this paper is thus not to c...
As the creation of signed language resources is gaining speed worldwide, the need for standards in this field becomes more acute. This paper discusses the state of the field of signed language resourc...
We present a software module, the LAT Bridge, which enables bidirectional communication between the annotation and exploration tools developed at the Max Planck Institute for Psycholinguistics as part...
We describe our computer-supported framework to overcome the rule of metadata schism. It combines the use of controlled vocabularies,managed by a data category registry, with a component-based approac...
Recently we began using Amazon Mechanical Turk (AMT), an Internet marketplace, to deploy our spoken dialogue systems to large audiences for user testing and data collection purposes. This crowdsourcin...
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora m...
Despite the availability of better performing techniques, most language models are trained using popular toolkits that do not support perplexity optimization. In this work, we present an efficient dat...
We study speaker verification f or handheld devices assuming realistic, noisy test conditions and assuming no prior knowledge of the noise characteristics. Data were r ecorded in office ( “quiet”) and...
This paper shows how fieldwork data can be managed using the program Toolbox together with the Natural Language Toolkit (NLTK) for the Python programming language. It provides background information a...

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