The massive growth of social webs offer opportunities to communicate with diverse
languages, unstructured text, informal posts, misspelled contents and emojis. Social media …

With recent advances in large language models (LLMs), the concept of automatically
generating children's educational materials has become increasingly realistic. Working …

Being an informal communication source, social media text is susceptible to several
intentional and unintentional textual variations. These variations lead to various out-of …

Due to the lack of data resources, rule-based or transfer learning is mainly used in the
morphological tagging of low-resource languages. However, these methods require expert …

This paper presents a detailed foundational empirical case study of the nature of out-of-
vocabulary words encountered in modern text in a moderate-resource language such as …

With a growing focus on morphological inflection systems for languages where high-quality
data is scarce, training data noise is a serious but so far largely ignored concern. We aim at …

In this paper we explore how morphological information can be extracted from fastText
embeddings for Russian nouns. We investigate the negative effects of syncretism and …

Morphological word segmentation splits a given word into its morphemes (roots and affixes),
the smallest meaning-bearing units of language. We introduce a novel approach, called …

The goal of this course is to lead students to engage broadly with the existing NLP and
computational linguistics research on subword modeling and develop new computational …

Most existing discourse annotation guidelines have focused on the English language. As a
result, there is a significant lack of research and resources concerning computational …