Slavic-Albanian Language Contact: Lexicon

A Linguistic Anthropology of Praxis and Language Shift: Arvanítika (Albanian) and Greek in Contact. LUKAS

This highly nuanced study, as the Bakhtinian framework adopted by author Tsitsipis (hereafter simply T) would have it, is " polyphonic " , in two ways. First of all, the subject matter — the effects of sustained contact in Greece between Modern Greek, as a dominant language, and the Arvanítika dialect of Tosk Albanian (i.e., the southern variety of the language) that has been spoken in Greece f...

A Supervised Method for Constructing Sentiment Lexicon in Persian Language

Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the imp...

Toward Pan-Slavic NLP: Some Experiments with Language Adaptation

There is great variation in the amount of NLP resources available for Slavic languages. For example, the Universal Dependency treebank (Nivre et al., 2016) has about 2 MW of training resources for Czech, more than 1 MW for Russian, while only 950 words for Ukrainian and nothing for Belorussian, Bosnian or Macedonian. Similarly, the Autodesk Machine Translation dataset only covers three Slavic l...

The Slavic and East European Language Resource Center

Automatic Symbol Processing for Language Model Building in Slavic Languages

When we want to adapt an existing automatic speech recognition system to a new language, we need a large corpus of texts to create a lexicon, a language model and a database of annotated recordings to train an acoustic model. Usually the texts in the corpus (or in annotations) contain not only words but also some other symbols, mainly strings of digits, special characters and some frequent abbr...