The notable growth of the digital communities and different online news streams led to the
growing availability of online natural language content. However not all natural languages …

Decisions about how to responsibly collect, use and document data often rely upon
understanding how people are represented in data. Yet, the unlabeled nature and scale of …

Sentiment analysis is the process of identifying and extracting subjective information from
text. Despite the advances to employ cross-lingual approaches in an automatic way, the …

With the steady growth of the global economy, the communication between countries in the
world has become increasingly close. Due to its translation efficiency and other problems …

The transformer model is one of the most recently developed models for translating texts into
another language. The model uses the principle of attention mechanism, surpassing …

Machine translation has been a major motivation of development in natural language
processing. Despite the burgeoning achievements in creating more efficient machine …

Spell checking and morphological analysis are two fundamental tasks in text and natural
language processing and are addressed in the early stages of the development of language …

Kurdish, an Indo-European language spoken by over 30 million speakers, is considered a
dialect continuum and known for its diversity in language varieties. Previous studies …

This paper presents an open-source software library that provides a set of finite-state
transducer (FST) components and corresponding utilities for manipulating the writing …

Abstract UniMorph–the Universal Morphology project is a collaborative initiative to create
and maintain morphological data and organize numerous related tasks for various language …