{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-embedded-deep-learning-based-word","title":"An Embedded Deep Learning based Word Prediction","arxiv_id":"1707.01662","date":"2017-07-06","proceeding":null,"authors":["Seunghak Yu","Nilesh Kulkarni","Haejun Lee","Jihie Kim"],"abstract":"Recent developments in deep learning with application to language modeling\nhave led to success in tasks of text processing, summarizing and machine\ntranslation. However, deploying huge language models for mobile device such as\non-device keyboards poses computation as a bottle-neck due to their puny\ncomputation capacities. In this work we propose an embedded deep learning based\nword prediction method that optimizes run-time memory and also provides a real\ntime prediction environment. Our model size is 7.40MB and has average\nprediction time of 6.47 ms. We improve over the existing methods for word\nprediction in terms of key stroke savings and word prediction rate.","url_abs":"http://arxiv.org/abs/1707.01662v1","url_pdf":"http://arxiv.org/pdf/1707.01662v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-embedded-deep-learning-based-word","repo_url":"https://github.com/meinwerk/WordPrediction","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}