[PDF] Top 20 The University of Sydney’s Machine Translation System for WMT19
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The University of Sydney’s Machine Translation System for WMT19
... cle translation procedure, we first report our ex- perimental results on validation data set with dif- ferent thresholds, which ranges from [0%, 25%, 50%, ...cycle translation ratios on Transformer base ... See full document
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The University of Edinburgh’s Submissions to the WMT19 News Translation Task
... The University of Edinburgh participated in the WMT19 Shared Task on News Transla- tion in six language directions: English-Gujarati (EN ↔ GU), English-Chinese (EN ↔ ZH), German- English (DE→EN) and ... See full document
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The University of Helsinki Submissions to the WMT19 Similar Language Translation Task
... The goal of Gr¨onroos et al. (2018) was to im- prove the translation accuracy from a language with less parallel data (e.g. Estonian) using a re- lated language with more data (e.g. Finnish) in the same NMT ... See full document
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The University of Helsinki Submissions to the WMT19 News Translation Task
... For English–Finnish, we used news test data from 2015-2017 as the only available in-domain parallel training data, and for English–German we added the NewsCommentary data set to the news test sets from 2008-2018. As both ... See full document
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The University of Maryland’s Kazakh English Neural Machine Translation System at WMT19
... How can we define lexical units to maximize information sharing across related source lan- guages? We compare different configurations of sub-word segmentations using different variants of the standard Byte-Pair Encoding ... See full document
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The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT
... The available parallel Kazakh-Russian corpora for the shared task included News Commentary v14 and a crawled Russian-Kazakh corpus prepared by Bagdat Myrzakhmetov of Nazarbayev University. After concatenating the ... See full document
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Robust Machine Translation with Domain Sensitive Pseudo Sources: Baidu OSU WMT19 MT Robustness Shared Task System Report
... the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared ...Task. Translation of ... See full document
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NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task
... level translation probabilities using the lexical translation probabilities learned by mgiza during the training of our USMT ...USMT system while the other is a small model trained on all the ... See full document
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Combining Local and Document Level Context: The LMU Munich Neural Machine Translation System at WMT19
... Munich’s machine transla- tion system for English→German translation which was used to participate in the WMT19 shared task on supervised news ...The system used as a primary submission ... See full document
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The MLLP UPV Spanish Portuguese and Portuguese Spanish Machine Translation Systems for WMT19 Similar Language Translation Task
... We applied this to both translation directions, using the first part of the development data as in- domain training data, and the second part as a new dev set. One checkpoint was stored after every fine-tuning ... See full document
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The MLLP UPV Supervised Machine Translation Systems for WMT19 News Translation Task
... We have used the same configuration sent for the WMT18-filtering task, which uses 3 par- tial scores: a language identification score (lang), a dual conditional cross-entropy score (adq), and a cross-entropy difference ... See full document
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Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task
... The goal of the task is to make NMT systems that are robust to noisy text found on Reddit, a social media, in two language pairs (French-English and Japanese-English) and both translation directions. The ... See full document
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The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation
... number of rules, thus efficiently storing and ac- cessing grammar rules can become a major prob- lem. Since a grammar consists of the set of rules extracted from a parallel corpus containing tens of millions of words, ... See full document
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The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation
... Both German and Hungarian have a large number of compound words that are created by concate- nating several morphemes to form a single ortho- graphic token. To deal with productive compound- ing, we employ word ... See full document
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NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task
... neural machine translation (NMT) systems that we developed for the news translation task for Kazakh↔English, Gujarati↔English, Chinese↔English, and English→Finnish translation ... See full document
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The IIIT H Gujarati English Machine Translation System for WMT19
... The bulk of research on low resource NMT has focused on exploiting monolingual data or parallel data from other language pairs. Some recent meth- ods to improve NMT models that exploit mono- lingual data ranges from ... See full document
5
SAO WMT19 Test Suite: Machine Translation of Audit Reports
... its translation. What is a good Czech→English manual translation is not always literal enough when observed from the English ...incorrect translation of term “lessee” and one mistake in the number of ... See full document
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The NiuTrans Machine Translation Systems for WMT19
... For EN ↔ LT tasks, we used all parallel data avail- able as follows: Europarl-v9, ParaCrawl-v3 and Rapid corpus of EU press releases. Through data filtering mentioned in Section3-1, 1.93M bilingual corpus were remained. ... See full document
10
Findings of the 2019 Conference on Machine Translation (WMT19)
... a system combination be- tween the Transformer (implemented in Marian (Junczys-Dowmunt et ...Phrase-based machine translation system (implemented with Moses) and for the Spanish-Portuguese ... See full document
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The LMU Munich Unsupervised Machine Translation System for WMT19
... noisy machine translation output from our iteration 0 Czech→German unsupervised PBT en- ...When machine-translating the monolingual corpus, we let the Moses decoder also write out the word alignment ... See full document
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