Deep learning based language models have improved generation-based linguistic steganography, posing a huge challenge for steganalysis. The existing neural-network-based steganalysis methods are incompetent to deal with complicated text because they only extract single-granularity features such as global or local features. To fuse multi-granularity features, we present novel method on attentiona...

the present article describes the common phonological features of linguistic varieties in 20 areas of sarakhs city. one hundred linguistic forms were gathered through interviews and questionnaires. the subjects were mostly adults, farmers, illiterate people and villagers. the phonological processes observed in these varieties were: 1. assimilation of consonants and vowels ablauting, 2. addition...

This work presents a study of linguistically-informed features for the automatic quality estimation of machine translations. In particular, we address the problem of estimating quality when no reference translations are available, as this is the most common case in real world situations. Unlike previous attempts that make use of internal information from translation systems or rely on purely sh...