Driven by soil, variety, weather and management databases and integrating process-based growth simulation model, morphological model and visualization model, a model-based digital and visual wheat growth system (MDVWGS) was developed using component-based software and visualization techniques. The system was programmed by the .Net framework with the language of C# and CsGL Library was used for ...

This paper describes general requirements for evaluating and documenting NLP tools with a focus on morphological analysers and the design of a Gold Standard. It is argued that any evaluation must be measurable and documentation thereof must be made accessible for any user of the tool. The documentation must be of a kind that it enables the user to compare different tools offering the same servi...

This paper presents results of a generative method for the management of morphological variation of query keywords in Bengali, Gujarati and Marathi. The method is called Frequent Case Generation (FCG). It is based on the skewed distributions of word forms in natural languages and is suitable for languages that have either fair amount of morphological variation or are morphologically very rich. ...

This paper describes a lexicalized tree adjoining grammar (LTAG) based parsing system for Korean which combines corpus-based morphological analysis and tagging with a statistical parser. Part of the challenge of statistical parsing for Korean comes from the fact that Korean has free word order and a complex morphological system. The parser uses an LTAG grammar which is automatically extracted u...

Time-lapse video microscopic observation is useful for analysis of cell biology, especially in rapid response of immune cells. Dendritic cells (DCs) have multiple functions in the immune system, and DCs in peripheral blood play an especially important role at the front line of infection. We have developed a time-lapse video microscopic method for the evaluation of single myeloid DCs (MDC-1) fro...

The paper starts with an overview of some important approaches to stemming for English and other languages. Then, the design, implementation and evaluation of the BulStem inflectional stemmer for Bulgarian are presented. The problem is addressed from a machinelearning perspective using a large morphological dictionary. A detailed automatic evaluation in terms of understemming, over-stemming and...

This paper describes TER-Plus (TERp) the University of Maryland / BBN Technologies submission for the NIST Metric MATR 2008 workshop on automatic machine translation evaluation metrics. TERp is an extension of Translation Edit Rate (TER) that builds off of the success of TER as an evaluation metric and alignment tool while addressing several of its weaknesses through the use of paraphrases, mor...

The paper describes evaluation resources for concept-based, cross-lingual information retrieval in the medical domain. All resources were constructed in the context of the MuchMore project and are freely available through the project website. Available resources include: a bilingual, parallel document collection of German and English medical scientific abstracts, a set of queries and correspond...

Objective(s): Application of eco-friendly materials like poly lactic acid (PLA) is increasing, to reduce environmental pollutions. In this research, the effect of silicon dioxide 1%, 3% and 5% nanoparticles on morphological, mechanical and chemicals interaction (FTIR) of PLA film was studied. Materials and Methods: Scanning electron microscope (SEM) was used, ...