Computational tools and methods employed in corpus linguistics are split into three main types: compilation, annotation and retrieval. These mirror and support the usual corpus linguistics methodology of corpus collection, manual and/or automatic tagging, followed by query and analysis. Typically, corpus software to support retrieval implements some or all of the five major methods in corpus linguistics only at the word level: frequency list, concordance, keyword, collocation and n-gram, and such software may or may not provide support for text which has already been tagged, for example at the part-of-speech (POS) level. Wmatrix is currently one of the few retrieval tools which have annotation tools built in. However, annotation in Wmatrix is currently limited to the UCREL English POS and semantic tagging pipeline. In this paper, we describe an approach to extend support for embedding other tagging pipelines and tools in Wmatrix via the use of APIs, and describe how such an approach is also applicable to other retrieval tools, potentially enabling support for tagged data.
@InProceedings{RAYSON18.13, author = {Paul Rayson}, title = {Increasing Interoperability for Embedding Corpus Annotation Pipelines in Wmatrix and other corpus retrieval tools}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Piotr Banski and Marc Kupietz and Adrien Barbaresi and
Hanno Biber and Evelyn Breiteneder and Simon Clematide and Andreas Witt}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-14-6}, language = {english} }
Summary of the paper