However, most of previous work relied on substantial amount of resources such as language-specific rules, basic tools such as part-of-speech taggers, a large amount of labeled data, or a huge amount of Web ngram data, which are usually unavailable for low-resource ILs.
in this paper we put the name tagging task in a new emergent setting where we need to process a surprise IL within very short time using very few resources.