In the CoCoCo project we develop methods to extract multi-word expressions of various kinds—idioms, multi-word lexemes, collocations, and colligations—and to evaluate their linguistic stability in a common, uniform fashion. In this paper we introduce a Web interface, which provides the user with access to these measures, to query Russian-language corpora. Potential users of these tools include ...

Evaluation methods for Distributional Semantic Models typically rely on behaviorally derived gold standards. These methods are difficult to deploy in languages with scarce linguistic/behavioral resources. We introduce a corpus-based measure that evaluates the stability of the lexical semantic similarity space using a pseudo-synonym same-different detection task and no external resources. We sho...

Fuzzy gain-scheduling is a special form of model-based fuzzy control that uses linguistic rules and fuzzy reasoning to determine the controller parameter transition policy for a dynamic plant subject to large changes in its operating state. Issues of stability and overall dynamic behavior are resolved using conventional modern control techniques. The design of a fuzzy gain-scheduling controller...

Crowdsourcing linguistic phenomena with smartphone applications is relatively new. In linguistics, apps have predominantly been developed to create pronunciation dictionaries, to train acoustic models, and to archive endangered languages. This paper presents the first account of how apps can be used to collect data suitable for documenting language change: we created an app, Dialäkt Äpp (DÄ), w...

We suggest a corpus-independent feature set appropriate for style-based text categorization problems. To achieve this, we introduce a new measure on linguistic features, called stability, which captures the extent to which a language element, such as a word or syntactic construct, is replaceable by semantically equivalent elements. This measure may be perceived as quantifying the degree of avai...

We introduce a new measure on linguistic features, called stability, which captures the extent to which language element, such as a word or a syntactic construct, is replaceable by semantically equivalent elemen This measure may be perceived as quantifying the degree of available “synonymy” for a language item. W show that frequent but unstable features are especially useful as discriminators o...

Evaluation methods for Distributional Semantic Models typically rely on behaviorally derived gold standards. These methods are difficult to deploy in languages with scarce linguistic/behavioral resources. We introduce a corpus-based measure that evaluates the stability of the lexical semantic similarity space using a pseudo-synonym same-different detection task and no external resources. We sho...

We introduce a new measure on linguistic features, called stability, which captures the extent to which a language element, such as a word or a syntactic construct, is replaceable by semantically equivalent elements. This measure may be perceived as quantifying the degree of available “synonymy” for a language item. We show that frequent but unstable features are especially useful as discrimina...

The intuitionistic linguistic set (ILS) is an extension of linguisitc variable. To overcome the drawback of using single real number to represent membership degree and non-membership degree for ILS, the concept of interval-valued intuitionistic linguistic set (IVILS) is introduced through representing the membership degree and non-membership degree with intervals for ILS in this paper. The oper...

Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...