Mats Dahllöf

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This paper presents novel results for word spotting based on dynamic time warping applied to medieval manuscripts in Latin and Old Swedish. A target word is marked by a user, and the method automatically finds similar word forms in the document by matching them against the target. The method automatically identifies pages and lines. We show that our method(More)
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I will describe a new computational approach to natural language semantics. I call it Token-based minimal recursion semantics (TBMRS). TBMRS can be seen as a version of Minimal recursion semantics (MRS, Copestake et al 1999), which is way of structuring semantic representations. Both the original and the present versions of MRS have been developed as(More)
This is a study on the truth-conditional semantics of propositional attitude attribution statements. It is suggested that attitude contents should be characterized in terms of abstract concepts, which are connected by way of a number of basic logical relations derived from a version of Quinean predicate-functor logic. This allows us to handle all logical(More)
In this paper1 I will discuss a framework for semantics which allows us to record truth-conditional and compositional analyses as dependency-style corpus annotations in a direct and fine-grained fashion. This method eliminates the need for a semantic representation formalism by decomposing semantic information into simple statements about (word or morpheme)(More)
The purpose of this thesis is to improve OpenAmplify – a system for automatic sentiment analysis by analysing OA’s weaknesses and problematic areas and then modifying the resource files and lexicons by adding new linguistic items and improving the system’s rules. The performance of OA was first evaluated and the collected data was compared to opinions of(More)
This paper addresses the issue of attributing pieces of medieval handwriting to scribes known from other examples of writing. The system is applied to manuscript page images and performs extraction and comparison of letter shapes. Letters and sequences of connected letters are identified by means of connected component labeling. This is followed by further(More)
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