1 code implementation • EACL 2021 • Rob van der Goot, {\"O}zlem {\c{C}}etino{\u{g}}lu
Lexical normalization, the translation of non-canonical data to standard language, has shown to improve the performance of many natural language processing tasks on social media.
no code implementations • LREC 2020 • Mohamed Balabel, Injy Hamed, Slim Abdennadher, Ngoc Thang Vu, {\"O}zlem {\c{C}}etino{\u{g}}lu
Code-switching has become a prevalent phenomenon across many communities.
no code implementations • LREC 2020 • Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, {\"O}zlem {\c{C}}etino{\u{g}}lu, Aless Cignarella, ra Teresa, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djam{\'e} Seddah, Amir Zeldes
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework.
no code implementations • WS 2017 • Agnieszka Falenska, {\"O}zlem {\c{C}}etino{\u{g}}lu
We present a systematic analysis of lexicalized vs. delexicalized parsing in low-resource scenarios, and propose a methodology to choose one method over another under certain conditions.
no code implementations • WS 2017 • {\"O}zlem {\c{C}}etino{\u{g}}lu
We present a code-switching corpus of Turkish-German that is collected by recording conversations of bilinguals.
Automatic Speech Recognition (ASR) Language Identification +4
no code implementations • LREC 2016 • {\"O}zlem {\c{C}}etino{\u{g}}lu
In this work we contribute the solution of this problem with a corpus.
no code implementations • TACL 2015 • Wolfgang Seeker, {\"O}zlem {\c{C}}etino{\u{g}}lu
The lattice parser predicts a dependency tree over a path in the lattice and thus solves the joint task of segmentation, morphological analysis, and syntactic parsing.
no code implementations • WS 2014 • Anders Bj{\"o}rkelund, {\"O}zlem {\c{C}}etino{\u{g}}lu, Agnieszka Fale{\'n}ska, Rich{\'a}rd Farkas, Thomas Mueller, Wolfgang Seeker, Zsolt Sz{\'a}nt{\'o}
no code implementations • LREC 2014 • {\"O}zlem {\c{C}}etino{\u{g}}lu
Although models trained on this data have high accuracy scores on the test and development data of the same set, the accuracy drastically drops when the model is used in the preprocessing of Turkish Treebank parsing experiments.
no code implementations • ACL 2013 • Sebastian Sulger, Miriam Butt, Tracy Holloway King, Paul Meurer, Tibor Laczk{\'o}, Gy{\"o}rgy R{\'a}kosi, Cheikh Bamba Dione, Helge Dyvik, Victoria Ros{\'e}n, Koenraad De Smedt, Agnieszka Patejuk, {\"O}zlem {\c{C}}etino{\u{g}}lu, I Wayan Arka, Meladel Mistica
no code implementations • LREC 2012 • Teresa Lynn, {\"O}zlem {\c{C}}etino{\u{g}}lu, Jennifer Foster, Elaine U{\'\i} Dhonnchadha, Mark Dras, Josef van Genabith
This paper describes the early stages in the development of new language resources for Irish ― namely the first Irish dependency treebank and the first Irish statistical dependency parser.