TY - GEN
T1 - The Halliday Centre Tagger
T2 - 9th International Conference on Language Resources and Evaluation, LREC 2014
AU - Wong, Billy T.M.
AU - Chow, Ian C.
AU - Webster, Jonathan J.
AU - Yan, Hengbin
N1 - Funding Information:
The research described in this paper was supported by City University of Hong Kong through the SRG grants 7002802 and 7004163.
PY - 2014
Y1 - 2014
N2 - This paper reports the latest development of The Halliday Centre Tagger (the Tagger), an online platform provided with semi - automatic features to facilitate text annotation and analysis. The Tagger features a web-based architecture with all functionalities and file storage space provided online, and a theory-neutral design where users can define their own labels for annotating various kinds of linguistic information. The Tagger is currently optimized for text annotation of Systemic Functional Grammar (SFG), providing by default a pre-defined set of SFG grammatical features, and the function of automatic identification of process types for English verbs. Apart from annotation, the Tagger also offers the features of visualization and summarization to aid text analysis. The visualization feature combines and illustrates multi-dimensional layers of annotation in a unified way of presentation, while the summarization feature categorizes annotated entries according to different SFG systems, i.e., transitivity, theme, logical-semantic relations, etc. Such features help users identify grammatical patterns in an annotated text.
AB - This paper reports the latest development of The Halliday Centre Tagger (the Tagger), an online platform provided with semi - automatic features to facilitate text annotation and analysis. The Tagger features a web-based architecture with all functionalities and file storage space provided online, and a theory-neutral design where users can define their own labels for annotating various kinds of linguistic information. The Tagger is currently optimized for text annotation of Systemic Functional Grammar (SFG), providing by default a pre-defined set of SFG grammatical features, and the function of automatic identification of process types for English verbs. Apart from annotation, the Tagger also offers the features of visualization and summarization to aid text analysis. The visualization feature combines and illustrates multi-dimensional layers of annotation in a unified way of presentation, while the summarization feature categorizes annotated entries according to different SFG systems, i.e., transitivity, theme, logical-semantic relations, etc. Such features help users identify grammatical patterns in an annotated text.
KW - Corpus annotation
KW - Systemic functional grammar
KW - The halliday centre tagger
UR - http://www.scopus.com/inward/record.url?scp=85037133480&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85037133480
T3 - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
SP - 1664
EP - 1667
BT - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
A2 - Calzolari, Nicoletta
A2 - Choukri, Khalid
A2 - Goggi, Sara
A2 - Declerck, Thierry
A2 - Mariani, Joseph
A2 - Maegaard, Bente
A2 - Moreno, Asuncion
A2 - Odijk, Jan
A2 - Mazo, Helene
A2 - Piperidis, Stelios
A2 - Loftsson, Hrafn
Y2 - 26 May 2014 through 31 May 2014
ER -