The workshop on cross-Lingual Technologies (xLiTe) offers a platform for discussing algorithms and applications for statistical analysis of language resources covering many languages.

The xLiTe workshop is aimed at techniques, which strive for flexibility making them applicable across languages and language varieties with less manual effort and manual labeled training data. Such approaches might also be beneficial for solving the pressing task of analyzing the continuously evolving natural language varieties that are not well formed. Such data typically originates from social media, like text messages, forum posts or tweets and often is highly domain dependent.

Ideal contributions cover one or more of the topics listed below:
‣ Unsupervised and weakly supervised learning methods for cross-lingual technologies
‣ Cross-lingual technologies beyond statistical machine translation
‣ Cross-lingual representations of linguistic structure

And cover cross-lingual tasks, such as:
‣ Information diffusion across the languages
‣ Cross-lingual document linking and comparison
‣ Cross-lingual topic modeling
‣ Cross-lingual information extraction
‣ Cross-lingual semantic distances
‣ Cross-lingual semantic parsing
‣ Cross-lingual disambiguation
‣ Cross-lingual semantic annotation
‣ Cross-lingual language resources and knowledge bases

For submission instructions see
http://km.aifb.kit.edu/ws/xlite/