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Found 10 papers, 2 papers with code
Investigating the Impact of Various Partial Diacritization Schemes on Arabic-English Statistical Machine Translation
The absence of these diacritics naturally leads to significant word ambiguity to top the inherent ambiguity present in fully diacritized words.
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories
This paper presents the results that were obtained from WASSA 2022 shared task on predicting empathy, emotion, and personality in reaction to news stories.
Automatic Restoration of Diacritics for Speech Data Sets
Automatic text-based diacritic restoration models generally have high diacritic error rates when applied to speech transcripts as a result of domain and style shifts in spoken language.
Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems
Pre-trained language models (PLM) have advanced the state-of-the-art across NLP applications, but lack domain-specific knowledge that does not naturally occur in pre-training data.
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target embedding spaces.
A Multitask Learning Approach for Diacritic Restoration
Such diacritics are often omitted in written text, increasing the number of possible pronunciations and meanings for a word.
Efficient Convolutional Neural Networks for Diacritic Restoration
Diacritic restoration has gained importance with the growing need for machines to understand written texts.
Homograph Disambiguation Through Selective Diacritic Restoration
Diacritic restoration could theoretically help disambiguate these words, but in practice, the increase in overall sparsity leads to performance degradation in NLP applications.
Using Ambiguity Detection to Streamline Linguistic Annotation
Arabic writing is typically underspecified for short vowels and other markups, referred to as diacritics.
Guidelines and Framework for a Large Scale Arabic Diacritized Corpus
This paper presents the annotation guidelines developed as part of an effort to create a large scale manually diacritized corpus for various Arabic text genres.
