ACL Machine Co., Ltd. established in 1981, is one of China's larger-scaled manufacturers of heavy forging machinery, heating and ventilating equipment and sheet metal equipment.
10.18653/v1/D16-1053. Bibkey: cheng-etal-2016-long. Cite (ACL): Jianpeng Cheng, Li Dong, and Mirella Lapata. 2016. Long Short-Term Memory-Networks for Machine Reading. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 551–561, Austin, Texas. Association for Computational …
The 1st Workshop on Machine Learning for Ancient Languages @ ACL 2024 Bangkok, Thailand Thursday, August 15 2024 (co-located with ACL 2024) https:// DESCRIPTION. ACL-Sponsored Event: 1. ... (RepL4NLP-2021), co-located with ACL 2021 in Bangkok, Thailand, invites papers of a theoretical or …
In this paper, we aims to alleviate the low-resource and under-universality problems for document-level NMT. First, we collect a large number of existing document-level corpora, which covers 7 language pairs and 6 domains. In order to address resource sparsity, we construct a novel document parallel corpus in Chinese-Portuguese, which is …
Abstract. k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT). It aims to alleviate the performance degradation of advanced MT systems in translating out-of-domain sentences by coordinating with an additional token-level …
Cite (ACL): Kevin Knight and Jonathan Graehl. 1998. Machine Transliteration. Computational Linguistics, 24 (4):599–612. Cite (Informal): Machine Transliteration (Knight & Graehl, CL 1998) Copy Citation: BibTeX.
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10.3115/976909.979634. Award: ACL 2022 25-Year Test of Time. Bibkey: knight-graehl-1997-machine. Cite (ACL): Kevin Knight and Jonathan Graehl. 1997. Machine Transliteration. In 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for …
Bibkey: ng-cardie-2002-improving. Cite (ACL): Vincent Ng and Claire Cardie. 2002. Improving Machine Learning Approaches to Coreference Resolution. In Proceedings of the 40th Annual Meeting of …
Bibkey: klein-etal-2017-opennmt. Cite (ACL): Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander Rush. 2017. OpenNMT: Open-Source Toolkit for Neural Machine Translation. In Proceedings of ACL 2017, System Demonstrations, pages 67–72, Vancouver, Canada. Association for Computational …
Cite (ACL): Sébastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015. On Using Very Large Target Vocabulary for Neural Machine Translation. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural …
This paper proposes a simple and effective algorithm for incorporating lexical constraints in neural machine translation. Previous work either required re-training existing models with the lexical constraints or incorporating them during beam search decoding with significantly higher computational overheads. Leveraging the flexibility and speed ...
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Competence-based Curriculum Learning for Neural Machine Translation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 1162–1172, Minneapolis, Minnesota. Association for …
With GLM, we develop Glancing Transformer (GLAT) for machine translation. With only single-pass parallel decoding, GLAT is able to generate high-quality translation with 8×-15× speedup. Note that GLAT does not modify the network architecture, which is a training method to learn word interdependency. Experiments on multiple WMT …
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O.K. Li. 2018. Universal Neural Machine Translation for Extremely Low Resource Languages. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 344–354, …
ACL MACHINE CO., LTD. Manufacturer. foshan, China. Website: Company Overview. CL Machine Co., Ltd. established in …
Priming is a well known and studied psychology phenomenon based on the prior presentation of one stimulus (cue) to influence the processing of a response. In this paper, we propose a framework to mimic the process of priming in the context of neural machine translation (NMT). We evaluate the effect of using similar translations as …
This paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of four different domains. ... ACL …
Abstract. Unsupervised neural machine translation (UNMT) has recently achieved remarkable results for several language pairs. However, it can only translate between a single language pair and cannot produce translation results for multiple language pairs at the same time. That is, research on multilingual UNMT has been limited.
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Cite (ACL): Lifeng Shang, Zhengdong Lu, and Hang Li. 2015. Neural Responding Machine for Short-Text Conversation. In Proceedings of the 53rd Annual Meeting of the Association for …
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In neural machine translation (NMT), generation of a target word depends on both source and target contexts. We find that source contexts have a direct impact on the adequacy of a translation while …
Neural machine translation (NMT) is a recently introduced approach to solving machine transla-tion(KalchbrennerandBlunsom,2013; Bahdanau et al., 2015; Sutskever et al., 2014). In neural ma-chine translation, one builds a single neural net-work that reads a source sentence and generates itstranslation. Thewholeneuralnetworkisjointly
As we have shown earlier, BLEU-2 cannot differ-entiate S2 from S3. However, S2 has a ROUGE-L score of 3/4 = 0.75 and S3 has a ROUGE-L score of 2/4 = 0.5, with β = 1. Therefore S2 is better than S3 according to ROUGE-L. This example also il-lustrated that ROUGE-L can work reliably at sen-tence level.
Abstract. In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML, Finn, et al., 2017) for low-resource neural machine translation (NMT). We frame low-resource translation as a meta-learning problem where we learn to adapt to low-resource languages based on multilingual high-resource …
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%0 Conference Proceedings %T Chunk-based Nearest Neighbor Machine Translation %A Martins, Pedro Henrique %A Marinho, Zita %A Martins, André F. T. %Y Goldberg, Yoav %Y Kozareva, Zornitsa %Y Zhang, Yue %S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing %D 2022 %8 …
Abstract. This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality.
Abstract. Modern sentence-level NMT systems often produce plausible translations of isolated sentences. However, when put in context, these translations may end up being inconsistent with each other. We propose a monolingual DocRepair model to correct inconsistencies between sentence-level translations. DocRepair performs …
Abstract. Sentence representation (SR) is the most crucial and challenging task in Machine Reading Comprehension (MRC). MRC systems typically only utilize the information contained in the sentence …
Machine Reading at Scale (MRS) is a challenging task in which a system is given an input query and is asked to produce a precise output by "reading" information from a large knowledge base. The task has gained popularity with its natural combination of information retrieval (IR) and machine comprehension (MC). ... ACL. Yixin Nie, Songhe ...
ACL Machine Co., Ltd. established in 1981, is one of China's larger-scaled manufacturers of heavy forging machinery. +86-757-85105188. int@acl. EN / CN. Home about us View of factory Company Profile partner certificate Video qualification ...
This tutorial, building upon a new edition of a survey paper on multimodal ML as well as previously-given tutorials and academic courses, will describe an updated taxonomy on multimodal machine learning synthesizing its core technical challenges and major directions for future research. Louis-Philippe Morency, Paul Pu Liang, and Amir …
In this paper, we present AxCell, an automatic machine learning pipeline for extracting results from papers. AxCell uses several novel components, including a table segmentation subtask, to learn relevant structural knowledge that aids extraction. When compared with existing methods, our approach significantly improves the state of the art …