Workshop on Computational, Cognitive, and Linguistic Approaches
to the Analysis of Complex Words and Collocations (CCLCC 2014)

Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014)

Workshop organized as part of the:
ESSLLI European Summer School in Logic, Language and Information
August 11-15, 2014 (ESSLLI first week)

Tübingen, Germany

>>> CCLCC 2014 proceedings are now online <<<

The analysis of complex words, compounds, and collocations has received considerable attention in linguistics, cognitive science and computational linguistics. Research on these phenomena concerns theoretical, experimental, and applied aspects relevant to all three disciplines. This diverse and interdisciplinary perspective lends itself particularly well to an ESSLLI workshop on this topic.

The aim of the workshop is to stimulate a cross-disciplinary discussion that will be of mutual benefit to the three fields sketched above and that will provide a forum for junior and senior researchers alike.

Invited Speakers:

- Melanie Bell (Anglia Ruskin University)
- Eduard Hovy (Carnegie Mellon University)

Workshop Organizers:

Erhard Hinrichs and Verena Henrich


Word formation processes such as cliticisation, compounding, and noun incorporation are highly significant for linguistic theory (since they concern the interface of morphology and syntax) and for linguistic typology (since languages differ considerably in the division of labour between morphology and syntax). The automatic analysis of complex words has also played an important role in computational linguistics. Here, the main tasks concern the parsing problem of assigning the correct bracketing of complex words and the semantic interpretation problem of automatically assigning the range of lexical-semantic relations among the constituent parts of a complex word. The automatic treatment of complex words and linguistic units "just above" the word level is also a hot topic from both an applied and a theoretical perspective in computational linguistics. N-gram models have played a major role in statistical approaches to a wide variety of natural language processing applications including machine translation, information retrieval, and text summarization. For computational semantics, complex words and collocations are a particularly interesting test bed for extending distributional approaches to word meaning (using vector space models) beyond the level of individual words and for investigating a synthesis between distributional models and model-theoretic approaches to compositional semantics.

From the perspective of cognitive psychology, the interpretation of novel compounds is an interesting domain of inquiry into human sentence processing since such compounds require access to the meaning of individual words as concepts in the mental lexicon as well as the selection of semantic relations that link these concepts.