34 citations · 55 across the 11 of their papers we have counts for
12 papers
LLM-assisted Graph-RAG Information Extraction from IFC Data
Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj
IFC data has become the general building information standard for collaborative work in the construction industry. However, IFC data can be very complicated because it allows for m…
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study
Hadeel Saadany, Ashraf Tantawy, Constantin Orasan
With the advent of Neural Machine Translation (NMT) systems, the MT output has reached unprecedented accuracy levels which resulted in the ubiquity of MT tools on almost all online…
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication
Jaleh Delfani, Constantin Orasan, Hadeel Saadany +5
This study explores the use of Google Translate (GT) for translating mental healthcare (MHealth) information and evaluates its accuracy, comprehensibility, and implications for mul…
Better Transcription of UK Supreme Court Hearings
Hadeel Saadany, Catherine Breslin, Constantin Orăsan +1
Transcription of legal proceedings is very important to enable access to justice. However, speech transcription is an expensive and slow process. In this paper we describe part of…
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT
Hadeel Saadany, Constantin Orasan, Emad Mohamed +1
In the online world, Machine Translation (MT) systems are extensively used to translate User-Generated Text (UGT) such as reviews, tweets, and social media posts, where the main me…
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Leonardo Zilio, Hadeel Saadany, Prashant Sharma +2
The detection and extraction of abbreviations from unstructured texts can help to improve the performance of Natural Language Processing tasks, such as machine translation and info…
An Ensemble Approach to Acronym Extraction using Transformers
Prashant Sharma, Hadeel Saadany, Leonardo Zilio +2
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text. Automatic extraction of acronyms from a text can help various Natural La…
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
Hadeel Saadany, Constantin Orasan, Emad Mohamed +1
In translating text where sentiment is the main message, human translators give particular attention to sentiment-carrying words. The reason is that an incorrect translation of suc…
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text
Hadeel Saadany, Constantin Orasan
Social media companies as well as authorities make extensive use of artificial intelligence (AI) tools to monitor postings of hate speech, celebrations of violence or profanity. Si…
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana +2
Although emotions are universal concepts, transferring the different shades of emotion from one language to another may not always be straightforward for human translators, let alo…
Fake or Real? A Study of Arabic Satirical Fake News
Hadeel Saadany, Emad Mohamed, Constantin Orasan
One very common type of fake news is satire which comes in a form of a news website or an online platform that parodies reputable real news agencies to create a sarcastic version o…
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
Hadeel Saadany, Constantin Orasan
Since the advent of Neural Machine Translation (NMT) approaches there has been a tremendous improvement in the quality of automatic translation. However, NMT output still lacks acc…