|Full Title:||1st Shared Task on Native Language Identification|
|Location:||Atlanta, GA, USA|
|Start Date:||13-Jun-2013 - 14-Jun-2013|
|Meeting Email:||click here to access email|
We are excited to organize the first shared task in Native Language Identification (NLI) which is the task of identifying the native language (L1) of a writer based solely on a sample of their writing. The task is framed as a classification problem where the set of L1s is known a priori. Most work has focused on identifying the native language of writers learning English as a second language. This problem has been growing in popularity and has motivated several ACL, NAACL and EMNLP papers, as well as a master’s and doctorate thesis.
Native Language Identification can be useful for a number of applications. First, it can be used in educational settings to provide more targeted feedback to language learners about their errors. It is well known that speakers of different languages make different kinds of errors when learning a language. A writing tutor system which can detect the native language of the learner will be able to tailor the feedback about the error and contrast it with common properties of the learner’s language. Second, native language is often used as a feature that goes into authorship profiling, which is frequently used in forensic linguistics.
The goal of this task is to provide a space to evaluate different techniques and approaches to Native Language Identification. To date, it has been difficult to compare approaches due to issues with training and testing data and a lack of consistency in evaluation standards. In this shared task, we provide a new data set as well provide a framework where different NLI systems can be finally compared. The shared task will be co-located with the 8th Workshop on Innovative Use of NLP for Building Educational Applications on June 13 or 14 in Atlanta, USA:
|Linguistic Subfield:||Computational Linguistics|
This is a session of the following meeting:
8th Workshop on Innovative Use of NLP for Building Educational Applications
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