To analyze the same language similar to the Cross-Lingual Translation: Activities and Invasion
The Cross-Lingual Transmission is a popular way to increase the number of NLP service training data in low context. However, the best strategy to determine which Cross-Lingual Data should include. The previous study usually focuses on a small set of languages from a few language families or work. It is still an open question how the findings extend into languages and many different languages. In this project, we contribute to this question by analyzing the short transfer of 263 languages from various language families. In addition, we include three popular NLP activities in our analysis: Marking to mark, depending on the dependence, and the subdivision of topics. Our acquisition indicates that the similarity of the language similarities depends on the variety of things: NLP work, languages (mono- or multilingualism), and the meaning of language matches.
- † work done while in apple
- ‡ LMU MUNIC
- § Munich Center for Machine Learning
