2000 character limit reached
Hierarchical Character-Word Models for Language Identification
Published 10 Aug 2016 in cs.CL | (1608.03030v1)
Abstract: Social media messages' brevity and unconventional spelling pose a challenge to language identification. We introduce a hierarchical model that learns character and contextualized word-level representations for language identification. Our method performs well against strong base- lines, and can also reveal code-switching.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.