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Found 28 papers, 4 papers with code
Findings of the 2021 Conference on Machine Translation (WMT21)
This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021. In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories.
UFAL Submissions to the IWSLT 2016 MT Track
We present our submissions to the IWSLT 2016 machine translation task, as our first attempt to translate subtitles and one of our early experiments with neural machine translation (NMT).
CUNI Basque-to-English Submission in IWSLT18
We present our submission to the IWSLT18 Low Resource task focused on the translation from Basque-to-English.
CUNI Submission for the Inuktitut Language in WMT News 2020
This paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut–English in both translation directions.
The Reality of Multi-Lingual Machine Translation
Machine translation is for us a prime example of deep learning applications where human skills and learning capabilities are taken as a benchmark that many try to match and surpass.
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Automatic metrics are commonly used as the exclusive tool for declaring the superiority of one machine translation system's quality over another.
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
Recent studies emphasize the need of document context in human evaluation of machine translations, but little research has been done on the impact of user interfaces on annotator productivity and the reliability of assessments.
THEaiTRE 1.0: Interactive generation of theatre play scripts
We present the first version of a system for interactive generation of theatre play scripts.
Findings of the 2020 Conference on Machine Translation (WMT20)
In the news task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting mainly of news stories.
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
This paper presents a description of CUNI systems submitted to the WMT20 task on unsupervised and very low-resource supervised machine translation between German and Upper Sorbian.
Gender Coreference and Bias Evaluation at WMT 2020
Our work presents the largest evidence for the phenomenon in more than 19 systems submitted to the WMT over four diverse target languages: Czech, German, Polish, and Russian.
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.
THEaiTRE: Artificial Intelligence to Write a Theatre Play
We present THEaiTRE, a starting project aimed at automatic generation of theatre play scripts.
Exploring Benefits of Transfer Learning in Neural Machine Translation
For the former scenario, we present a proof-of-concept method by reusing a model trained by other researchers.
Efficiently Reusing Old Models Across Languages via Transfer Learning
To show the applicability of our method, we recycle a Transformer model trained by different researchers and use it to seed models for different language pairs.
CUNI Submission for Low-Resource Languages in WMT News 2019
This paper describes the CUNI submission to the WMT 2019 News Translation Shared Task for the low-resource languages: Gujarati-English and Kazakh-English.
CUNI Submissions in WMT18
Our main focus was the low-resource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method.
Trivial Transfer Learning for Low-Resource Neural Machine Translation
We present a simple transfer learning method, where we first train a "parent" model for a high-resource language pair and then continue the training on a lowresource pair only by replacing the training corpus.
Low-Resource Neural Machine Translation
Transfer Learning
+1
SubGram: Extending Skip-gram Word Representation with Substrings
Skip-gram (word2vec) is a recent method for creating vector representations of words ("distributed word representations") using a neural network.
An Exploration of Word Embedding Initialization in Deep-Learning Tasks
We support this hypothesis by observing the performance in learning lexical relations and by the fact that the network can learn to perform reasonably in its task even with fixed random embeddings.
CUNI NMT System for WAT 2017 Translation Tasks
The paper presents this year{'}s CUNI submissions to the WAT 2017 Translation Task focusing on the Japanese-English translation, namely Scientific papers subtask, Patents subtask and Newswire subtask.
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
We examine the effects of particular orderings of sentence pairs on the on-line training of neural machine translation (NMT).
LanideNN: Multilingual Language Identification on Character Window
In language identification, a common first step in natural language processing, we want to automatically determine the language of some input text.
