The Workshop on Systems and Frameworks for Computational Morphology (SFCM) brings together researchers and developers in the area of computational morphology and morphological theory used in computational systems. The focus of SFCM are actual working systems, frameworks based on linguistic principles, and means for providing linguistically sound analysis and/or generation tools based on well-defined linguistic categories.
In 2017, SFCM will take place for the fifth time. The fifth edition of SFCM will again bring together researchers involved with computational approaches to morphology. We aim to encourage discussion among researchers and developers from different communities and to contribute to bridging the divide between NLP and linguistic communities around state-of-the-art approaches to morphological analysis and generation.
We are in the process of arranging the open-access publication of the proceedings with Language Science Press in their Morphological Investigation series.
SFCM is an activity of the SIG Morphology of the German Society for Computational Linguistics and Language Technology (GSCL) and is co-located with GSCL 2017.
Topics include, but are not limited to:
Software frameworks for developing morphological components.
Open-source systems, tools, and resources for analyzing and generating word forms.
Linguistic frameworks for computational morphology.
Implementations of formal models of morphology for individual languages and language families, including historical languages and language variants.
Use of morphological analysis and generation in NLP applications.
Use of morphological systems in linguistic research, i.e., studies that address formal morphological issues with the help of computational methods, tools, and resources.
Use of morphological systems in digital humanities research.
Approaches for handling phenomena at the interface between morphology and neighboring levels of linguistic description, such as phonetics, morphophonology, and syntax.
Methods and criteria for evaluating morphological components with respect to performance, quality, and coverage.
Software engineering aspects: APIs, robustness, performance, hardware/software requirements, resource usage.
License models, versioning, and legal aspects.
09月12日
2017
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