@inproceedings{a60c0a973b354b338500714f1448a607,
title = "The Tel Aviv University System for the Code-Switching Workshop Shared Task",
abstract = "We describe our entry in the EMNLP 2014 code-switching shared task. Our system is based on a sequential classifier, trained on the shared training set using various character- and word-level features, some calculated using a large monolingual corpora. We participated in the Twitter-genre Spanish-English track, obtaining an accuracy of 0.868 when measured on the tweet level and 0.858 on the word level.",
author = "Kfir Bar and Nachum Dershowitz",
note = "Publisher Copyright: {\textcopyright} 2014 Association for Computational Linguistics; 1st Workshop on Computational Approaches to Code Switching, Switching 2014 at the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 ; Conference date: 25-10-2014",
year = "2014",
language = "אנגלית",
series = "1st Workshop on Computational Approaches to Code Switching, Switching 2014 at the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "139--143",
editor = "Mona Diab and Julia Hirschberg and Pascale Fung and Thamar Solorio",
booktitle = "1st Workshop on Computational Approaches to Code Switching, Switching 2014 at the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Proceedings",
address = "ארצות הברית",
}