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TweeNLP
API
Team
Ergun Bicici
Number of Papers:- 26
Number of Citations:- 104
First ACL Paper:- 2009
Latest ACL Paper:- 2021
Venues:-
IJCNLP
EMNLP
WMT
*SEMEVAL
WS
ACL
Co-Authors:-
Andy Way
Deniz Yuret
Josef Van Genabith
Qun Liu
S Serdar Kozat
Similar Authors:-
Francisco Zamora Martinez
Jorge Antonio Leoni De Leon
Josep Angel Mas
Mara Chinea Rios1
Josu Landa
2021
2020
2019
2018
2017
2016
2015
2014
2013
2011
2010
2009
RTM Super Learner Results at Quality Estimation Task
EMNLP
WMT
Ergun Biçici |
RTM Ensemble Learning Results at Quality Estimation Task
EMNLP
WMT
Ergun Biçici |
evision PDF of 'Machine Translation with parfda, Moses, kenlm, nplm, and PRO
ACL
WMT
WS
Ergun Biçici |
RTM Stacking Results for Machine Translation Performance Prediction
ACL
WMT
WS
Ergun Biçici |
Robust parfda Statistical Machine Translation Results
EMNLP
WMT
WS
Ergun Biçici |
RTM results for Predicting Translation Performance
EMNLP
WMT
WS
Ergun Biçici |
RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity
*SEMEVAL
Ergun Biçici |
Predicting Translation Performance with Referential Translation Machines
WMT
WS
Ergun Biçici |
evision PDF of 'RTM at SemEval-2016 Task 1: Predicting Semantic Similarity with Referential Translation Machines and Related Statistics
*SEMEVAL
Ergun Biçici |
evision PDF of 'ParFDA for Instance Selection for Statistical Machine Translation
WMT
WS
Ergun Biçici |
Referential Translation Machines for Predicting Translation Performance
WMT
WS
Ergun Biçici |
RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
*SEMEVAL
Ergun Biçici |
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
WMT
WS
Ergun Biçici |
Qun Liu |
Andy Way |
Referential Translation Machines for Predicting Translation Quality and Related Statistics
WMT
WS
Ergun Biçici |
Qun Liu |
Andy Way |
RTM-DCU: Referential Translation Machines for Semantic Similarity
*SEMEVAL
Ergun Biçici |
Andy Way |
Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems
WMT
WS
Ergun Biçici |
Qun Liu |
Andy Way |
Referential Translation Machines for Predicting Translation Quality
WMT
WS
Ergun Biçici |
Andy Way |
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity
*SEMEVAL
Ergun Biçici |
Josef van Genabith |
CNGL: Grading Student Answers by Acts of Translation
*SEMEVAL
Ergun Biçici |
Josef van Genabith |
Feature Decay Algorithms for Fast Deployment of Accurate Statistical Machine Translation Systems
WMT
WS
Ergun Biçici |
Referential Translation Machines for Quality Estimation
WMT
WS
Ergun Biçici |
Instance Selection for Machine Translation using Feature Decay Algorithms
WMT
WS
Ergun Biçici |
Deniz Yuret |
RegMT System for Machine Translation, System Combination, and Evaluation
WMT
WS
Ergun Biçici |
Deniz Yuret |
Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations
WS
Ergun Biçici |
S. Serdar Kozat |
L1 Regularized Regression for Reranking and System Combination in Machine Translation
WS
Ergun Biçici |
Deniz Yuret |
Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
ACL
IJCNLP
Deniz Yuret |
Ergun Biçici |
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