Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …

Metaphor is a special linguistic phenomenon, challenging diverse natural language
processing tasks. Previous works focused on either metaphor identification or domain …

Large language models (LLMs) finetuned to follow human instructions have recently
emerged as a breakthrough in AI. Models such as Google Bard and OpenAI ChatGPT, for …

We present a novel representation, evaluation measure, and supervised models for the task
of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical …

We present TURJUMAN, a neural toolkit for translating from 20 languages into Modern
Standard Arabic (MSA). TURJUMAN exploits the recently-introduced text-to-text Transformer …

Computer programs that make inferences about natural language are easily fooled by the
often haphazard relationship between words and their meanings. This thesis develops …

In this paper we present PARSEME-AR, the first openly available Arabic corpus manually
annotated for Verbal Multiword Expressions (VMWEs). The annotation process is carried out …

In this paper we describe a framework for classifying and annotating Egyptian Arabic
Multiword Expressions (EMWE) in a specialized computational lexical resource. The …

In this paper we introduce a new method for detecting a type of English Multiword
Expressions (MWEs), which is phrasal verbs, into an English-Arabic phrase-based statistical …

Social media has become an essential focus for Natural Language Processing (NLP)
research due to its widespread use and unique linguistic characteristics. Normalising social …