Articles
Total Articles: 38870
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10320
AbstractThere has been a lot of psychological researches on emotion and nonverbal communication. Yet, these studies were based mostly on acted basic emotions. This paper explores how manual annotation and image processing can cooperate towards the representation of spontaneous emotional behaviour in low resolution videos from TV. We describe a …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10321
AbstractIn this paper, we report on methods to detect and repair lexical errors for deep grammars. The lack of coverage has for long been the major problem for deep processing. The existence of various errors in the hand-crafted large grammars prevents their usage in real applications. The manual detection and …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10322
AbstractThis paper describes automatic terminology intelligibility estimation for readership-oriented technical writing. We assume that the term frequency weighted by the types of documents can be an indicator of the term intelligibility for a certain readership. From this standpoint, we analyzed the relationship between the following: average intelligibility levels of 46 …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10323
AbstractIn this paper we discuss a rule-based approach to chunking implemented using the LT-XML2 and LT-TTT2 tools. We describe the tools and the pipeline and grammars that have been developed for the task of chunking. We show that our rule-based approach is easy to adapt to different chunking styles and …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10324
AbstractSentence alignment is a task that requires not only accuracy, as possible errors can affect further processing, but also requires small computation resources and to be language pair independent. Although many implementations do not use translation equivalents because they are dependent on the language pair, this feature is a requirement …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10325
AbstractThe task of identifying the language in which a given document (ranging from a sentence to thousands of pages) is written has been relatively well studied over several decades. Automated approachesto written language identification are used widely throughout research and industrial contexts, over both oral and written source materials. Despite …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10326
AbstractPhrase alignment is the task that requires the constituent phrases of two halves of a bitext to be aligned. In order to align phrases, one must discover them first and this article presents a method of aligning phrases that are discovered automatically. Here, the notion of a 'phrase' will be …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10327
AbstractThe aim of the Nordic SYMBERED project - funded by NUH (the Nordic Development Centre for Rehabilitation Technology) - is to develop a user friendly editing tool that makes use of concept coding to produce web pages with flexible graphical symbol support targeted towards people with Augmentative and Alternative Communication …...
Developing Speech Synthesis for Under-Resourced Languages by “Faking it”: An Experiment with Somali
10328nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10328
AbstractSpeech synthesis or text-to-speech (TTS) systems are currently available for a number of the world's major languages, but for thousands of other, unsupported, languages no such technology is available. While awaiting the development of such technology, we propose using an existing TTS system for a major language (the base language, …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10329
AbstractIn this paper, we present and evaluate a new method to convert Constraint Grammar (CG) parses of running text into Constituent Treebanks. The conversion is two-step - first a grammar-based method is used to bridge the gap between raw CG annotation and full dependency structure, then phrase structure bracketing and …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10330
AbstractThe paper briefly describes the RoCo project and, in details, one of its first outcomes, the RoCo-News corpus. RoCo-News is a middle-sized journalistic corpus of Romanian, abundant in proper names, numerals and named entities. The initially raw text was previously segmented with MtSeg segmenter, then POS annotated with TNT tagger. …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10331
AbstractThe paper describes a general method (as well as its implementation and evaluation) for deriving mapping systems for different tagsets available in existing training corpora (gold standards) for a specific language. For each pair of corpora (tagged with different tagsets), one such mapping system is derived. This mapping system is …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10332
AbstractThe goal of this paper is (1) to illustrate a specific procedure for merging different monolingual lexicons, focussing on techniques for detecting and mapping equivalent lexical entries, and (2) to sketch a production model that enables one to obtain lexical resources via unification of existing data. We describe the creation …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10333
AbstractThe aligning and merging of ontologies with overlapping information are actual one of the most active domain of investigation in the Semantic Web community. Multilingual lexical ontologies thesauri are fundamental knowledge sources for most NLP projects addressing multilinguality. The alignment of multilingual lexical knowledge sources has various applications ranging from …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10334
AbstractThe last decade has seen a large increase in the number of available corpus query systems. Some of these are optimized for a particular kind of linguistic annotation (e.g., time-aligned, treebank, word-oriented, etc.). In this paper, we report on our own corpus query system, called Emdros. Emdros is very generic, …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10335
AbstractThe importance of frequency for phonological phenomena has long been noticed in the literature. However, frequency information available for phonological units in Portuguese is scarce, non-replicable, corpus dependent, and hard to obtain due to the non-existence of a free tool for public use. This paper describes FreP, a new electronic …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10336
AbstractThis paper describes a system for extracting typed dependency parses of English sentences from phrase structure parses. In order to capture inherent relations occurring in corpus texts that can be critical in real-world applications, many NP relations are included in the set of grammatical relations used. We provide a comparison …...
Compiling large language resources using lexical similarity metrics for domain taxonomy learning
10337nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10337
AbstractIn this contribution we present a new methodology to compile large language resources for domain-specific taxonomy learning. We describe the necessary stages to deal with the rich morphology of an agglutinative language, i.e. Korean, and point out a second order machine learning algorithm to unveil term similarity from a given …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10338
AbstractAlthough WordNets have been developed for a number of languages, no attempts to construct a Japanese WordNet have been known to exist. Taking this into account, we launched a project to automatically translate the Princeton WordNet into Japanese by a method of unsupervised word-sense disambiguation using bilingual comparable corpora. The …...
nan
Publication: TIPSTER (2006)
DOI: nan
Paper ID: 10339
AbstractAs part of evaluating a summary automati-cally, it is usual to determine how much of the contents of one or more human-produced ideal summaries it contains. Past automated methods such as ROUGE compare using fixed word ngrams, which are not ideal for a variety of reasons. In this paper we …...