This article was published in the Proceedings of the Applied Natural Language Processing Conference (ANLP−2000) in Seattle, Washington, May 1−3, 2000. A preliminary version was published as a technical report (TR−99−83) in the Sun Microsystems Laboratories Technical Report Series. The article represents a milestone in an ongoing project aimed at discovering technology to help people find specif...

Linguistic sequence labeling is a general modeling approach that encompasses a variety of problems, such as part-ofspeech tagging and named entity recognition. Recent advances in neural networks (NNs) make it possible to build reliable models without handcrafted features. However, in many cases, it is hard to obtain sufficient annotations to train these models. In this study, we develop a novel...

In this thesis, we present methods for using linguistically motivated information to enhance the performance of statistical machine translation (SMT). One of the advantages of the statistical approach to machine translation is that it is largely languageagnostic. Machine learning models are used to automatically learn translation patterns from data. SMT can, however, be improved by using lingui...

Language Engineering (LE) products and resources for the world’s “major” languages are steadily increasing, but there remains a major gap as regards less widely-used languages. This paper considers the current situation regarding LE resources for some of the languages in question, and some proposals for rectifying this situation are made, including techniques based on adapting existing resource...

William S.-Y. Wang Department of Electronic Engineering The Chinese University of Hong Kong China [email protected] Abstract The language game approach has recently been adopted to explore the conventionalization of linguistic knowledge in a social environment. Most contemporary studies focus on the dynamics of language games in random or predefined social networks, but neglect the reverse...

Plagiarism is described as the reuse of someone else’s previous ideas, work or even words without sufficient attribution to the source. This paper presents a method to detect external plagiarism using the integration of semantic relations between words and their syntactic composition. The problem with the available methods is that they fail to capture the meaning in comparison between a source ...

Automatic extraction of knowledge from large corpus of texts is an essential step toward linguistic knowledge acquisition in the medical domain. The current situation shows a lack of computer-readable large medical lexicons, with a partial exception for the English language. Moreover, multilingual lexicons with versatility for multiple languages applications are far from reach as long as only m...

Content extraction from medical texts is achievable today by linguistic applications, in so far as sufficient domain knowledge is available. Such knowledge represents a model of the domain and is hard to collect with sufficient depth and good coverage, despite numerous attempts. To leverage this task is a priority in order to benefit from the awaited linguistic tools. The light model is designe...

Linguistic equations are designed for integrating knowledge and data in development of nonlinear multivariable systems for intelligent process analysis, process control, fault diagnosis and forecasting. Insight to the process operation is maintained since all the modules can be assessed by expert knowledge and membership definitions relate measurements to appropriate linguistic terms on differe...

The paper presents a study of a challenging task in machine translation and crosslanguage information retrieval – translation of toponyms. Due to their linguistic and extra-linguistic nature, toponyms deserve a special treatment. The overall translation process includes two stages of processing: dictionary-based and out-ofvocabulary toponym translation. The latter is divided into three steps: s...