Liling Tan

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Marcos ZampieriRochester Institute of TechnologyVerified email at rit.edu
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
Jörg TiedemannProfessor of Language Technology, University of HelsinkiVerified email at helsinki.fi
Nikola LjubešićResearcher at Jožef Stefan InstituteVerified email at ijs.si
Francis BondDepartment of Asian Studies, Palacký University Olomouc.Verified email at ieee.org
Preslav NakovPrincipal Scientist, Qatar Computing Research Institute (QCRI), HBKUVerified email at hbku.edu.qa
Jon DehdariFidelity InvestmentsVerified email at dehdari.org
Stanley KokNational University of SingaporeVerified email at nus.edu.sg
Carolina ScartonLecturer in Natural Language Processing, NLP group / GATE group, University of SheffieldVerified email at sheffield.ac.uk
Shamil ChollampattZoom Video CommunicationsVerified email at zoom.us
Maggie Yundi LiNational University of SingaporeVerified email at u.nus.edu
Lucia SpeciaProfessor, Imperial College London and University of SheffieldVerified email at sheffield.ac.uk
Rohit GuptaApple UKVerified email at apple.com
Santanu PalSaarland UniversityVerified email at uni-saarland.de
Alexis PalmerUniversity of Colorado BoulderVerified email at colorado.edu
Guy EmersonUniversity of CambridgeVerified email at cam.ac.uk
Michaela RegneriUniversität HamburgVerified email at uni-hamburg.de
Anne-Kathrin SchumannT2K: Text to KnowledgeVerified email at text2knowledge.de
Ohnmar HtunResearch Scientist, Rakuten Institute of TechnologyVerified email at iuj.ac.jp
Noam OrdanDepartment of Computer Science, University of HaifaVerified email at staff.haifa.ac.il

Liling Tan

Universität des Saarlandes, Nanyang Technological University

Verified email at uni-saarland.de - Homepage

Natural Language Processing Computational Linguistics Machine Translation Word Sense Disambiguation Corpora Linguistics


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A report on the DSL shared task 2014 M Zampieri, L Tan, N Ljubešić, J Tiedemann Proceedings of the first workshop on applying NLP tools to similar languages …, 2014	116	2014
Overview of the DSL shared task 2015 M Zampieri, L Tan, N Ljubešić, J Tiedemann, P Nakov Proceedings of the Joint Workshop on Language Technology for Closely Related …, 2015	101	2015
Merging comparable data sources for the discrimination of similar languages: The dsl corpus collection L Tan, M Zampieri, N Ljubešic, J Tiedemann Proceedings of the 7th Workshop on Building and Using Comparable Corpora …, 2014	92	2014
Pywsd: Python implementations of word sense disambiguation (wsd) technologies [software] L Tan https://github.com/alvations/pywsd, 2014	47	2014
Building and annotating the linguistically diverse NTU-MC (NTU-multilingual corpus) L Tan, F Bond Proceedings of the 25th Pacific Asia Conference on Language, Information and …, 2011	47	2011
Lexically constrained neural machine translation with Levenshtein transformer RH Susanto, S Chollampatt, L Tan arXiv preprint arXiv:2004.12681, 2020	38	2020
Manawi: Using multi-word expressions and named entities to improve machine translation L Tan, S Pal Proceedings of the Ninth Workshop on Statistical Machine Translation, 201-206, 2014	28	2014
Usaar-wlv: Hypernym generation with deep neural nets L Tan, R Gupta, J Van Genabith SemEval-2015, 932, 2015	25	2015
Usaar at semeval-2016 task 13: Hyponym endocentricity L Tan, F Bond, J van Genabith Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016	18	2016
An Awkward Disparity between BLEU/RIBES and Human Judgment in Machine Translation L Tan, J Dehdari, J van Genebith	18*	2015
MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for Complex Word Identification M Zampieri, L Tan, J van Genabith	17	2016
Seedling: Building and using a seed corpus for the human language project G Emerson, L Tan, S Fertmann, A Palmer, M Regneri Proceedings of the 2014 Workshop on the Use of Computational Methods in the …, 2014	17	2014
Predicting machine translation adequacy with document embeddings M Vela, L Tan Proceedings of the Tenth Workshop on Statistical Machine Translation, 402-410, 2015	16	2015
Grammatical error detection with limited training data: The case of chinese M Zampieri, L Tan Proceedings of ICCE, 2014	12	2014
Xling: Matching query sentences to a parallel corpus using topic models for wsd L Tan, F Bond Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013	11	2013
Can automatic post-editing improve NMT? S Chollampatt, RH Susanto, L Tan, E Szymanska arXiv preprint arXiv:2009.14395, 2020	10	2020
Don’t Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation MY Li, S Kok, L Tan Workshop on Information Technologies and Systems, 2018	10*	2018
NTU-MC Toolkit: Annotating a Linguistically Diverse Corpus. L Tan, F Bond COLING (Demos), 86-89, 2014	10	2014
BIRA: Improved predictive exchange word clustering J Dehdari, L Tan, J van Genabith Proceedings of the 2016 Conference of the North American Chapter of the …, 2016	9	2016
Usaar-sheffield: Semantic textual similarity with deep regression and machine translation evaluation metrics L Tan, C Scarton, L Specia, J van Genabith Proceedings of the 9th international workshop on semantic evaluation …, 2015	9	2015

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