Abstract: Words of an input string are morphologically analyzed to identify their alternative base forms and parts of speech. The analyzed words of the input string are used to compile the input string into a first finite-state network. The first finite-state network is matched with a second finite-state network of multiword expressions to identify all subpaths of the first finite-state network that match one or more complete paths in the second finite-state network. Each matching subpath of the first finite-state network and path of the second finite-state network identify a multiword expression in the input string. The morphological analysis is performed without disambiguating words and without segmenting the input string into sentences in the input string to compile the first finite-state network with at least one path that identifies alternative base forms or parts of speech of a word in the input string.

Abstract: The invention relates to a method and a computer system for enhanced part-of-speech (POS-) tagging as well as grammatically disambiguating a phrase. A phrase is usually a short multiword expression that may be ambiguous. By introducing grammatical constraints the invention supports POS-tagging as well as grammatically disambiguating the phrase. According to an identifier for the phrase, the phrase is supplemented with artificial context information. The supplemented phrase is then POS-tagged or grammatically disambiguated. Important applications are POS-tagging, Automatic Term Encoding, Headword Detection and Information Retrieval.

Abstract: An executable for a new linguistic service is produced using preexisting source code for an ancestor service that is a less specified ancestor of the new linguistic service in a hierarchy. The preexisting source code is modified, such as by further specifying it, to produce modified source code for responding to requests for the new linguistic service, where each request identifies the new linguistic service and indicates linguistic data on which it is to be performed. The modified source code is then used to produce the executable for the new linguistic service. The preexisting source code can, for example, define a top-level class in an object-oriented programming language, with common parameters including input parameters with information for obtaining the linguistic data and result parameters with information for returning results of the new linguistic service.