Stasis: Python wrapper for SemEval's Semantic Textual Similarity datasets
Submitted by c.orasan on Tue, 10/11/2015 - 10:30Stasis: Python wrapper for SemEval's Semantic Textual Similarity datasets
ESR5
Gale-Church Filter: Cleaning noisy parallel data for machine translation
Submitted by c.orasan on Tue, 10/11/2015 - 10:28The Gacha filter cleans out sentence pairs that have global character mean lower than a certain threshold. Use this cleaner to produce low quantity of high quality sentence pairs. It is an aggressive cleaner that cleaned out ~64% of the HindEnCorp during WMT14 when threshold is set at 20% (Tan and Pal, 2014); achieving lowest TER. (see http://www.aclweb.org/anthology/W/W14/W14-3323.pdf)
Manipulating Input Data for Machine Translation
Liling and Francis Bond. 2014. Manipulating Input Data for Machine Translation [poster]. In Workshop for Asian Translation. Tokyo, Japan
SeedLing: Building and using a seed corpus for the Human Language Project
Guy Emerson, Liling Tan, Susanne Fertmann, Alexis Palmer and Michaela Regneri . 2014. SeedLing: Building and using a seed corpus for the Human Language Project. In Proceedings of the use of Computational methods in the study of Endangered Languages (ComputEL) Workshop. Baltimore, USA.
Merging Comparable Data Sources for the Discrimination of Similar Languages: The DSL Corpus Collection
Liling Tan, Marcos Zampieri, Nikola Ljubešic, Jörg Tiedemann. 2014. Merging Comparable Data Sources for the Discrimination of Similar Languages: The DSL Corpus Collection. In Proceedings of the 7th Workshop on Building and Using Comparable Corpora: Building Resources for Machine Translation Research. Reykjavik, Iceland.
Translation Clouds: Producing Word Clouds from Non-aligned Parallel Corpora
Marcos Zampieri, Liling Tan and Constance Wang. 2014. Translation Clouds: Producing Word Clouds from Non-aligned Parallel Corpora [abstract]. In Proceedings of the 6th International Conference on Corpus Linguistics (CILC6). Las Palmas de Gran Canaria, Spain.
Explicit Holmes: A Diachronie Investigation of Explicitness and Explicitation in Chinese Translations of Detective Stories
Constance Wang, Liling Tan. 2014. Explicit Holmes: A Diachronie Investigation of Explicitness and Explicitation in Chinese Translations of Detective Stories. In Kerstin Kunz, Elke Teich, Silvia Hansen-Schirra, Stella Neumann and Peggy Daut (Editors). Caught in the Middle – Language Use and Translation: A Festschrift for Erich Steiner on the Occasion of his 60th Birthday. Germany: Saarland University Press.
Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process
Liling Tan, Anne Schumann, Jose M.M. Martinez and Francis Bond. 2014. Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process. In Proceedings of the Eighth International Workshop on Semantic Evaluation (SemEval 2014). Dublin, Ireland.
A Report on the Discriminating between Similar Languages (DSL) Shared Task 2014
Marcos Zampieri, Liling Tan, Nikola Ljubešić, Jörg Tiedemann. 2014. A Report on the Discriminating between Similar Languages (DSL) Shared Task 2014. Proceedings of the 1st Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects (VarDial). Dublin, Ireland.
Proceedings of 25th International Conference on Computational Linguistics (COLING 2014)
Liling Tan and Francis Bond. 2014. NTU-MC Toolkit: Annotating a Linguistically Diverse Corpus. In Proceedings of 25th International Conference on Computational Linguistics (COLING 2014). Dublin, Ireland.