Implementing universal dependency, morphology, and multiword expression   annotation standards for Turkish language processing

Umut SULUBACAK; Gülşen ERYİĞİT

Article Details

Implementing universal dependency, morphology, and multiword expression annotation standards for Turkish language processing

Authors:

Umut SULUBACAK | Gülşen ERYİĞİT

Publisher:

TUBITAK

Main Topics:

Applied physics

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1662-1672

Document Type:

Article

Publication Date:

5/2018

Document Language:

English

Document ID (Org No.):

2000735193

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

Released only a year ago as the outputs of a research   project (Parsing Web 2.0 Sentences'', supported in part by a   TÜBİTAK 1001 grant   (No. 112E276) and a part of the ICT COST Action PARSEME (IC1207)), IMST and   IWT are currently the most comprehensive Turkish dependency treebanks in the   literature. This article introduces the final states of our treebanks, as   well as a newly integrated hierarchical categorization of the multiheaded   dependencies and their organization in an exclusive deep dependency layer in   the treebanks. It also presents the adaptation of recent studies on   standardizing multiword expression and named entity annotation schemes for   the Turkish language and integration of benchmark annotations into the   dependency layers of our treebanks and the mapping of the treebanks to the   latest Universal Dependencies (v2.0) standard, ensuring further compliance   with rising universal annotation trends. In addition to significantly   boosting the universal recognition of Turkish treebanks, our recent efforts   have shown an improvement in their syntactic parsing performance (up to   77.8{\%}/82.8{\%} LAS and 84.0{\%}/87.9{\%} UAS for IMST/IWT, respectively).   The final states of the treebanks are expected to be more suited to   different natural language processing tasks, such as named entity   recognition, multiword expression detection, transfer-based machine   translation, semantic parsing, and semantic role labeling.

Article Details

Implementing universal dependency, morphology, and multiword expression annotation standards for Turkish language processing

Authors: Umut SULUBACAK | Gülşen ERYİĞİT

Publisher: TUBITAK

Main Topics: Applied physics

Journal: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1662-1672

Document Type: Article

Publication Date: 5/2018

Document Language: English

Document ID (Org No.): 2000735193

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Umut SULUBACAK | Gülşen ERYİĞİT

Publisher:

TUBITAK

Main Topics:

Applied physics

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 3, pp.1662-1672

Document Type:

Article

Publication Date:

5/2018

Document Language:

English

Document ID (Org No.):

2000735193

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632