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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 53 1 Findings of the IWSLT 2020 Evaluation campaign Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022 BASE Show details 2 MeetDot: Videoconferencing with Live Translation Captions ... Arkhangorodsky, Arkady; Chu, Christopher; Fang, Scot. - : arXiv, 2021 BASE Show details 3 MeetDot: Videoconferencing with Live Translation Captions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arkhangorodsky, Arkady; Chu, Christopher. - : Underline Science Inc., 2021 BASE Show details 4 Abstract Meaning Representation (AMR) Annotation Release 3.0 Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 5 Parallel Corpus Filtering via Pre-trained Language Models ... Zhang, Boliang; Nagesh, Ajay; Knight, Kevin. - : arXiv, 2020 Abstract: Web-crawled data provides a good source of parallel corpora for training machine translation models. It is automatically obtained, but extremely noisy, and recent work shows that neural machine translation systems are more sensitive to noise than traditional statistical machine translation methods. In this paper, we propose a novel approach to filter out noisy sentence pairs from web-crawled corpora via pre-trained language models. We measure sentence parallelism by leveraging the multilingual capability of BERT and use the Generative Pre-training (GPT) language model as a domain filter to balance data domains. We evaluate the proposed method on the WMT 2018 Parallel Corpus Filtering shared task, and on our own web-crawled Japanese-Chinese parallel corpus. Our method significantly outperforms baselines and achieves a new state-of-the-art. In an unsupervised setting, our method achieves comparable performance to the top-1 supervised method. We also evaluate on a web-crawled Japanese-Chinese parallel corpus ... : ACL 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2005.06166 https://dx.doi.org/10.48550/arxiv.2005.06166 BASE Hide details 6 Findings of the IWSLT 2020 Evaluation campaign ... Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020 BASE Show details 7 Abstract Meaning Representation (AMR) Annotation Release 3.0 ... Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020 BASE Show details 8 Learning to Pronounce Chinese Without a Pronunciation Dictionary ... Chu, Christopher; Fang, Scot; Knight, Kevin. - : arXiv, 2020 BASE Show details 9 Cross-lingual entity extraction and linking for 300 languages Pan, Xiaoman. - 2020 BASE Show details 10 Multi-Source Attention for Unsupervised Domain Adaptation. Bollegala, Danushka; Cui, Xia. - : Association for Computational Linguistics, 2020 BASE Show details 11 Neighbors helping the poor: improving low-resource machine translation using related languages [<Journal>] Pourdamghani, Nima [Verfasser]; Knight, Kevin [Verfasser] DNB Subject Category Language Show details 12 Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling ... Shivakumar, Prashanth Gurunath; Li, Haoqi; Knight, Kevin. - : arXiv, 2018 BASE Show details 13 Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding ... Huang, Lifu; Cho, Kyunghyun; Zhang, Boliang. - : arXiv, 2018 BASE Show details 14 Abstract Meaning Representation (AMR) Annotation Release 2.0 Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017 BASE Show details 15 Abstract Meaning Representation (AMR) Annotation Release 2.0 ... Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017 BASE Show details 16 Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features Wiegand, Michael [Verfasser]; Schulder, Marc [Verfasser]; Ruppenhofer, Josef [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2016 DNB Subject Category Language Show details 17 Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach Wiegand, Michael [Verfasser]; Bocionek, Christine [Verfasser]; Ruppenhofer, Josef [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2016 DNB Subject Category Language Show details 18 Leadership discourse as basis and means for developing L2 students into future leaders Knight, Kevin; Candlin, Chris. - : Reading, UK : Garnet Publishing, 2015 BASE Show details 19 Analysing the discourses of leadership as a basis for developing leadership communication skills in a second or foreign language Knight, Kevin. - : Sydney, Australia : Macquarie University, 2015 BASE Show details 20 Statistical Techniques for Translating to Morphologically Rich Languages (Dagstuhl Seminar 14061) Koehn, Philipp; Uszkoreit, Hans; Schmid, Helmut. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2014. : Dagstuhl Reports. Dagstuhl Reports, Volume 4, Issue 2, 2014 BASE Show details Page: 1 2 3

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