#Smart start portable
#Smart start mods

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesĪssociation for Computational Linguistics Smart-Start Decoding for Neural Machine Translation Experimental results show that the proposed method can significantly outperform strong baseline models.', We evaluate the proposed Smart-Start decoding method on three datasets. It starts to decode the words on the right side of the median word and then generates words on the left. More specifically, our method first predicts a median word. In this work, we propose a novel method that breaks up the limitation of these decoding orders, called Smart-Start decoding.

Publisher = 'Association for Computational Linguistics',Ībstract = 'Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left.

#Smart start mods

Cite (Informal): Smart-Start Decoding for Neural Machine Translation (Yang et al., NAACL 2021) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: Video: = 'Smart-Start Decoding for Neural Machine Translation',īooktitle = 'Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies', Association for Computational Linguistics. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3982–3988, Online. Smart-Start Decoding for Neural Machine Translation. Anthology ID: 2021.naacl-main.312 Volume: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Month: June Year: 2021 Address: Online Venue: NAACL SIG: Publisher: Association for Computational Linguistics Note: Pages: 3982–3988 Language: URL: DOI: 10.18653/v1/2021.naacl-main.312 Bibkey: yang-etal-2021-smart Cite (ACL): Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, and Ming Zhou. Experimental results show that the proposed method can significantly outperform strong baseline models. Smart Start's commitment to state of the art technology and best of class service has established themselves as the industry leader.Abstract Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left. The quality of Smart Start devices, their ease of operation, access to over 1000 service centers and a 24/7 bilingual Customer Care Center makes Smart Start the vendor of choice for both clients and monitors. Going forward, the company plans to continue to expand both its international presence as well as its product offerings. In 2008, Smart Start entered the global market developing a distribution system and representation in 19 countries outside of the U.S. In addition, we have provided over 506 million safe starts since 1992. To date Smart Start has served over a million clients and prevented over 6.5 million illegal vehicle starts. The company has built one of the largest, most successful programs worldwide.

#Smart start portable

Smart Start focuses on ignition interlock technologies for vehicles as well as portable alcohol monitoring devices. In the years since, it has built a reputation as the leader in alcohol monitoring technology. It began serving clients on December 1st, 1992. Smart Start is a privately held company based in Grapevine, TX.