This paper presents the evaluation and results of Competition 2 (information retrieval experiments) in the Morpho Challenge 2008. Competition 1 (a comparison to linguistic gold standard) is described in a companion paper. In Morpho Challenge 2008 the goal was to search and evaluate unsupervised machine learning algorithms that provide morpheme analysis for words in different languages. The morp...

We describe the early stage of our methodology of knowledge acquisition from technical texts. First, a partial morpho-syntactic analysis is performed to extract "candi-date terms". Then, the knowledge engineer , assisted by an automatic clustering tool, builds the "conceptual fields" of the domain. We focus on this conceptual analysis stage, describe the data prepared from the results of the mo...

This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). This methodology contains several image processing steps: Principal Components Analysis and Laplacian enhancement, Feature Extraction of segmented build-up objects, and supervised classification from...

Morpho Challenge 2008 hosted an extrinsic evaluation of morphological analysis that explored whether unsupervised morphology induction could benefit information retrieval. This paper presents results in alternative methods for word normalization using test sets from the Cross-Language Evaluation Forum (CLEF) ad-hoc collections. Preliminary results for the Morpho Challenge 2008 evaluation are co...

When automatically translating from a weakly inflected source language like English to a target language with richer grammatical features such as gender and dual number, the output commonly contains morpho-syntactic agreement errors. To address this issue, we present a target-side, class-based agreement model. Agreement is promoted by scoring a sequence of fine-grained morpho-syntactic classes ...

Skeletal muscle represents one of the most plastic tissues of our body thanks to the presence of heterogeneous population of myofibers that confer to skeletal muscle the functional plasticity necessary to modulate its morpho-fuctional properties in response to a wide range of external factors. Thus, alteration in fiber type composition represents a major component in muscle wasting associated w...

This paper describes and evaluates a modification to the segmentation model used in the unsupervised morphology induction system, ParaMor. Our improved segmentation model permits multiple morpheme boundaries in a single word. To prepare ParaMor to effectively apply the new agglutinative segmentation model, two heuristics improve ParaMor’s precision. These precision-enhancing heuristics are adap...

Structural colour in the Morpho butterfly originates from submicron structure within a scale and, for over a century, its colour and reflectivity have been explained as interference of light due to the multilayer of cuticle and air. However, this model fails to explain the extraordinarily uniform colour of the wing with respect to the observation direction. We have performed microscopic, optica...

ParaMor automatically learns morphological paradigms from unlabelled text, and uses them to annotate word forms with morpheme boundaries. ParaMor competed in the English and German tracks of Morpho Challenge 2007 (Kurimo et al., 2008). In English, ParaMor’s balanced precision and recall outperform at F1 an already sophisticated baseline induction algorithm, Morfessor (Creutz, 2006). In German, ...

In this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists. We explore the impact of three groups of features: form related, morpho-lexical and thematic features. The latter type of features has not yet been used in this kind of application and represents a way to access the semantic context of new words. The r...