Knowledge transfer between object classes has been identified as an important tool for scalable recognition. However, determining which knowledge to transfer where remains a key challenge. While most approaches employ varying levels of human supervision, we follow the idea of mining linguistic knowledge bases to automatically infer transferable knowledge. In contrast to previous work, we explic...

The article focusses on the manuscript stored in Leiden as a witness of Russian-German linguistic, cultural, and pedagogical transfer. consists three parts contains "linguistic" introduction, full text Orbis Pictus by Jan Comenius two languages, German-Russian dictionary. authors systematized results previous studies foreign Slavists, put forward substantiated their own assumptions about its or...

While statistical methods have been very effective in developing NLP tools, the use of linguistic tools and understanding of language structure can make these tools better. Cross-lingual parser construction has been used to develop parsers for languages with no annotated treebank. Delexicalized parsers that use only POS tags can be transferred to a new target language. But the success of a dele...

Speech is often described as a sequence of units associating linguistic, sensory and motor representations. Is the connection between these representations preferentially maintained at a specific level in terms of a linguistic unit? In the present study, we contrasted the possibility of a link at the level of the syllable (CV) and the word (CVCV). We modified the production of the syllable /be/...

We present a hybrid machine learning approach to correcting features in transferred linguistic representations in machine translation. The hybrid approach combines decision trees and transformation-based learning. Decision trees serve as a filter on the intractably large search space of possible interrelations among features. Transformation-based learning results in a simple set of ordered rule...