Ағылшын-қытай

task ID: englishchinese

Related Papers

The RWTH Phrase-based Statistical Machine Translation System

Authors: nan

Publication: TIPSTER (2005)

DOI: nan

We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken Lan- guage Translation 2005. We …...

20461

A discriminative framework of integrating translation memory features into SMT

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractCombining Translation Memory (TM) with Statistical Machine Translation (SMT) together has been demonstrated to be beneficial. In this paper, we present a discriminative framework which can integrate TM into SMT …...

29075

Hierarchical Phrase-based Stream Decoding

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

This paper proposes a method for hierar- chical phrase-based stream decoding. A stream decoder is able to take a contin- uous stream of tokens as input, and seg- ments this …...

34600

Towards better translation performance on spoken language

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractIn this paper, we describe GTCOM’s neural machine translation(NMT) systems for the International Workshop on Spoken Language Translation(IWSLT) 2017. We participated in the English-to-Chinese and Chinese-to-English tracks in the small …...

20771

Constraining the Transformer NMT Model with Heuristic Grid Beam Search

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

Constrained decoding forces a certain set words or phrases to appear in the translation results and is very useful when adapting MT to a certain domain. In recent years, the …...

29154

Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMachine translation of scientific abstracts and terminologies has the potential to support health professionals and biomedical researchers in some of their activities. In the fifth edition of the WMT Biomedical …...

27605

Findings of the WMT 2020 Shared Task on Automatic Post-Editing

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present the results of the 6th round of the WMT task on MT Automatic Post-Editing. The task consists in automatically correcting the output of a “black-box” machine translation system …...

27607

NICT Kyoto Submission for the WMT’20 Quality Estimation Task: Intermediate Training for Domain and Task Adaptation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the NICT Kyoto submission for the WMT’20 Quality Estimation (QE) shared task. We participated in Task 2: Word and Sentence-level Post-editing Effort, which involved Wikipedia data and …...

27507

SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper, we introduced our joint team SJTU-NICT ‘s participation in the WMT 2020 machine translation shared task. In this shared task, we participated in four translation directions of …...

27659

The NiuTrans Machine Translation Systems for WMT20

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes NiuTrans neural machine translation systems of the WMT20 news translation tasks. We participated in Japanese<->English, English->Chinese, Inuktitut->English and Tamil->English total five tasks and rank first in Japanese<->English …...

27644

Papago’s Submissions to the WMT21 Triangular Translation Task

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis paper describes Naver Papago’s submission to the WMT21 shared triangular MT task to enhance the non-English MT system with tri-language parallel data. The provided parallel data are Russian-Chinese (direct), …...

27755

HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper presents HW-TSC’s submissions to the IWSLT 2023 Offline Speech Translation task, including speech translation of talks from English to German, Chinese, and Japanese, respectively. We participate in all …...

20584

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractNeural sequence generation models are known to “hallucinate”, by producing outputs that are unrelated to the source text. These hallucinations are potentially harmful, yet it remains unclear in what conditions …...

26993