Search Results for author:
Found 45 papers, 7 papers with code
Domain Adaptation of Document-Level NMT in IWSLT19
We describe our four NMT systems submitted to the IWSLT19 shared task in English→Czech text-to-text translation of TED talks.
Detecting Post-Edited References and Their Effect on Human Evaluation
This paper provides a quick overview of possible methods how to detect that reference translations were actually created by post-editing an MT system.
Do UD Trees Match Mention Spans in Coreference Annotations?
One can find dozens of data resources for various languages in which coreference - a relation between two or more expressions that refer to the same real-world entity - is manually annotated.
Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task
We describe the joint submission of the University of Edinburgh and Charles University, Prague, to the Czech/English track in the WMT 2020 Shared Task on News Translation.
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT
We use the latter for experiments with various backtranslation techniques.
CorefUD 1.0: Coreference Meets Universal Dependencies
Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data.
Findings of the Third Shared Task on Multilingual Coreference Resolution
The paper presents an overview of the third edition of the shared task on multilingual coreference resolution, held as part of the CRAC 2024 workshop.
Preliminary WMT24 Ranking of General MT Systems and LLMs
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics.
Charles Translator: A Machine Translation System between Ukrainian and Czech
We present Charles Translator, a machine translation system between Ukrainian and Czech, developed as part of a society-wide effort to mitigate the impact of the Russian-Ukrainian war on individuals and society.
Evaluating Optimal Reference Translations
The overall translation quality reached by current machine translation (MT) systems for high-resourced language pairs is remarkably good.
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation
LongEval-Retrieval is a Web document retrieval benchmark that focuses on continuous retrieval evaluation.
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
We present Charles University submissions to the WMT22 General Translation Shared Task on Czech-Ukrainian and Ukrainian-Czech machine translation.
CUNI Submission in WMT22 General Task
We evaluate performance of MBR decoding compared to traditional mixed backtranslation training and we show a possible synergy when using both of the techniques simultaneously.
Findings of the Shared Task on Multilingual Coreference Resolution
The public edition of CorefUD 1. 0, which contains 13 datasets for 10 languages, was used as the source of training and evaluation data.
Understanding Model Robustness to User-generated Noisy Texts
We also compare two approaches to address the performance drop: a) training the NLP models with noised data generated by our framework; and b) reducing the input noise with external system for natural language correction.
Neural Machine Translation Quality and Post-Editing Performance
We test the natural expectation that using MT in professional translation saves human processing time.
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
We present a new release of the Czech-English parallel corpus CzEng 2. 0 consisting of over 2 billion words (2 "gigawords") in each language.
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
CUNI Transformer Neural MT System for WMT18
We apply a simple but effective filtering of the synthetic data.
Training Tips for the Transformer Model
This article describes our experiments in neural machine translation using the recent Tensor2Tensor framework and the Transformer sequence-to-sequence model (Vaswani et al., 2017).
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Tools and Guidelines for Principled Machine Translation Development
This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods.
QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages
This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference.
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized
We present HamleDT 2. 0 (HArmonized Multi-LanguagE Dependency Treebank).
The Joy of Parallelism with CzEng 1.0
CzEng 1. 0 is automatically aligned at the level of sentences as well as words.
HamleDT: To Parse or Not to Parse?
We propose HamleDT ― HArmonized Multi-LanguagE Dependency Treebank.
