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Found 149 papers, 11 papers with code
Gender-Aware Reinflection using Linguistically Enhanced Neural Models
In this paper, we present an approach for sentence-level gender reinflection using linguistically enhanced sequence-to-sequence models.
AraSAS: The Open Source Arabic Semantic Tagger
This paper presents (AraSAS) the first open-source Arabic semantic analysis tagging system.
Hierarchical Aggregation of Dialectal Data for Arabic Dialect Identification
We test the value of such aggregation by building language models and using them in dialect identification.
Camel Treebank: An Open Multi-genre Arabic Dependency Treebank
We present the Camel Treebank (CAMELTB), a 188K word open-source dependency treebank of Modern Standard and Classical Arabic.
The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic
Our objective is to create a specialized corpus of the Bahraini Arabic dialect, which includes written texts as well as transcripts of audio files, belonging to a different genre (folktales, comedy shows, plays, cooking shows, etc.).
ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus
We present ZAEBUC, an annotated Arabic-English bilingual writer corpus comprising short essays by first-year university students at Zayed University in the United Arab Emirates.
Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator
Arabic is a morphologically rich and complex language, with numerous dialectal variants.
A View From the Crowd: Evaluation Challenges for Time-Offset Interaction Applications
Our contributions include the annotated dataset that we make publicly available and the proposal of Success Rate @k as an evaluation metric that is more appropriate than the traditional QA’s and information retrieval’s metrics.
A Unified Model for Arabizi Detection and Transliteration using Sequence-to-Sequence Models
While online Arabic is primarily written using the Arabic script, a Roman-script variety called Arabizi is often seen on social media.
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages
This year's iteration of the SIGMORPHON Shared Task on morphological reinflection focuses on typological diversity and cross-lingual variation of morphosyntactic features.
PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation
We present PALMYRA 2. 0, a graphical dependency-tree visualization and editing software.
A Cloud-based User-Centered Time-Offset Interaction Application
Time-offset interaction applications (TOIA) allow simulating conversations with people who have previously recorded relevant video utterances, which are played in response to their interacting user.
Camelira: An Arabic Multi-Dialect Morphological Disambiguator
We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine.
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
We present our work on collecting ArzEn-ST, a code-switched Egyptian Arabic - English Speech Translation Corpus.
Maknuune: A Large Open Palestinian Arabic Lexicon
We present Maknuune, a large open lexicon for the Palestinian Arabic dialect.
The Shared Task on Gender Rewriting
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop.
Arabic Word-level Readability Visualization for Assisted Text Simplification
This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization.
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022).
The User-Aware Arabic Gender Rewriter
We introduce the User-Aware Arabic Gender Rewriter, a user-centric web-based system for Arabic gender rewriting in contexts involving two users.
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text
For extreme low-resource scenarios, a combination of frequency and morphology-based segmentations is shown to perform the best.
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation
Our best models achieve 33. 6% improvement in perplexity, +3. 2-5. 6 BLEU points on MT task, and 7% relative improvement on WER for ASR task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
UniMorph 4.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
User-Centric Gender Rewriting
In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent grammatical gender preferences.
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
Like most natural language understanding and generation tasks, state-of-the-art models for summarization are transformer-based sequence-to-sequence architectures that are pretrained on large corpora.
Abstractive Text Summarization
Natural Language Understanding
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses
Much of the research on this issue has focused on mitigating gender bias in English NLP models and systems.
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects
We present state-of-the-art results on morphosyntactic tagging across different varieties of Arabic using fine-tuned pre-trained transformer language models.
Automatic Error Type Annotation for Arabic
We present ARETA, an automatic error type annotation system for Modern Standard Arabic.
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models.
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
This Shared Task includes four subtasks: country-level Modern Standard Arabic (MSA) identification (Subtask 1. 1), country-level dialect identification (Subtask 1. 2), province-level MSA identification (Subtask 2. 1), and province-level sub-dialect identification (Subtask 2. 2).
Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations
In this paper we present a parsing model for projective dependency trees which takes advantage of the existence of complementary dependency annotations which is the case in Arabic, with the availability of CATiB and UD treebanks.
An Online Readability Leveled Arabic Thesaurus
This demo paper introduces the online Readability Leveled Arabic Thesaurus interface.
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models
In addition to generic n-gram embeddings (using FastText), we experiment with concatenative (stems) and templatic (roots and patterns) morphological subwords.
A Panoramic Survey of Natural Language Processing in the Arab World
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design.
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
The data for the shared task covers a total of 100 provinces from 21 Arab countries and are collected from the Twitter domain.
The Paradigm Discovery Problem
Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm.
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods
In this paper we present the first full morphological analysis and disambiguation system for Gulf Arabic.
The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems
The first challenges are to define a sensible methodology for data collection and to create useful data sets for training the system to retrieve the best answer to a user{'}s question.
A Large-Scale Leveled Readability Lexicon for Standard Arabic
We present a large-scale 26, 000-lemma leveled readability lexicon for Modern Standard Arabic.
A Spelling Correction Corpus for Multiple Arabic Dialects
In this paper, we present the MADAR CODA Corpus, a collection of 10, 000 sentences from five Arabic city dialects (Beirut, Cairo, Doha, Rabat, and Tunis) represented in the Conventional Orthography for Dialectal Arabic (CODA) in parallel with their raw original form.
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
In this paper we explore the use of multitask learning and adversarial training to address morphological richness and dialectal variations in the context of full morphological tagging.
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging
Semitic languages can be highly ambiguous, having several interpretations of the same surface forms, and morphologically rich, having many morphemes that realize several morphological features.
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan
These corpora will be publicly available to serve as benchmarks for training and evaluating systems for Arabic dialect morphological analysis and disambiguation.
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification
In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine-Grained Dialect Identification.
Automatic Gender Identification and Reinflection in Arabic
The impressive progress in many Natural Language Processing (NLP) applications has increased the awareness of some of the biases these NLP systems have with regards to gender identities.
A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance
We present de-lexical segmentation, a linguistically motivated alternative to greedy or other unsupervised methods, requiring only minimal language specific input.
Simple Automatic Post-editing for Arabic-Japanese Machine Translation
A common bottleneck for developing machine translation (MT) systems for some language pairs is the lack of direct parallel translation data sets, in general and in certain domains.
The Effectiveness of Simple Hybrid Systems for Hypernym Discovery
Hypernymy modeling has largely been separated according to two paradigms, pattern-based methods and distributional methods.
The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation
Neural networks have become the state-of-the-art approach for machine translation (MT) in many languages.
ADIDA: Automatic Dialect Identification for Arabic
This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text.
An Arabic Dependency Treebank in the Travel Domain
In this paper we present a dependency treebank of travel domain sentences in Modern Standard Arabic.
Complementary Strategies for Low Resourced Morphological Modeling
Morphologically rich languages are challenging for natural language processing tasks due to data sparsity.
An Arabic Morphological Analyzer and Generator with Copious Features
We introduce CALIMA-Star, a very rich Arabic morphological analyzer and generator that provides functional and form-based morphological features as well as built-in tokenization, phonological representation, lexical rationality and much more.
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
We show that providing the model with word-level features bridges the gap for the neural network approach to achieve a state-of-the-art F1 score on a standard Arabic language correction shared task dataset.
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction
In this paper, we introduce MADARi, a joint morphological annotation and spelling correction system for texts in Standard and Dialectal Arabic.
A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain
We present Qutr (Query Translator), a smart cross-lingual communication application for the travel domain.
Fine-Grained Arabic Dialect Identification
Previous work on the problem of Arabic Dialect Identification typically targeted coarse-grained five dialect classes plus Standard Arabic (6-way classification).
Improving Domain Independent Question Parsing with Synthetic Treebanks
Automatic syntactic parsing for question constructions is a challenging task due to the paucity of training examples in most treebanks.
Feature Optimization for Predicting Readability of Arabic L1 and L2
Advances in automatic readability assessment can impact the way people consume information in a number of domains.
Addressing Noise in Multidialectal Word Embeddings
Arabic dialects lack large corpora and are noisy, being linguistically disparate with no standardized spelling.
A Bilingual Interactive Human Avatar Dialogue System
This demonstration paper presents a bilingual (Arabic-English) interactive human avatar dialogue system.
Noise-Robust Morphological Disambiguation for Dialectal Arabic
User-generated text tends to be noisy with many lexical and orthographic inconsistencies, making natural language processing (NLP) tasks more challenging.
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus.
Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic
We make use of the resulting morphological models for scoring and ranking the analyses of the morphological analyzer for morphological disambiguation.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model
While sentiment analysis in English has achieved significant progress, it remains a challenging task in Arabic given the rich morphology of the language.
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields
We describe a supervised system that uses optimized Condition Random Fields and lexical features to predict the sentiment of a tweet.
Universal Dependencies for Arabic
We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic.
Robust Dictionary Lookup in Multiple Noisy Orthographies
We present the MultiScript Phonetic Search algorithm to address the problem of language learners looking up unfamiliar words that they heard.
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
Opinion mining in Arabic is a challenging task given the rich morphology of the language.
A Morphological Analyzer for Gulf Arabic Verbs
We present CALIMAGLF, a Gulf Arabic morphological analyzer currently covering over 2, 600 verbal lemmas.
A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages
We present Arab-Acquis, a large publicly available dataset for evaluating machine translation between 22 European languages and Arabic.
Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine
Arabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much.
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings
Evaluation of machine translation (MT) into morphologically rich languages (MRL) has not been well studied despite posing many challenges.
CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation
In this paper, we present CamelParser, a state-of-the-art system for Arabic syntactic dependency analysis aligned with contextually disambiguated morphological features.
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer
In this paper, we present YAMAMA, a multi-dialect Arabic morphological analyzer and disambiguator.
Analysis of Foreign Language Teaching Methods: An Automatic Readability Approach
Much research in education has been done on the study of different language teaching methods.
Morphological Constraints for Phrase Pivot Statistical Machine Translation
One common solution is to pivot through a third language for which there exist parallel corpora with the source and target languages.
A Large Scale Corpus of Gulf Arabic
Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World.
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015
The competition focused on informal dialectal Arabic, as used in SMS, chat, and speech.
First Result on Arabic Neural Machine Translation
Neural machine translation has become a major alternative to widely used phrase-based statistical machine translation.
Morphologically Annotated Corpora and Morphological Analyzers for Moroccan and Sanaani Yemeni Arabic
We present new language resources for Moroccan and Sanaani Yemeni Arabic.
Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation
We present our guidelines and annotation procedure to create a human corrected machine translated post-edited corpus for the Modern Standard Arabic.
Exploiting Arabic Diacritization for High Quality Automatic Annotation
We present a novel technique for Arabic morphological annotation.
Arabic Corpora for Credibility Analysis
We focus on Arabic due to the recent popularity of blogs and microblogs in the Arab World and due to the lack of any such public corpora in Arabic.
SPLIT: Smart Preprocessing (Quasi) Language Independent Tool
Text preprocessing is an important and necessary task for all NLP applications.
Applying the Cognitive Machine Translation Evaluation Approach to Arabic
The goal of the cognitive machine translation (MT) evaluation approach is to build classifiers which assign post-editing effort scores to new texts.
DALILA: The Dialectal Arabic Linguistic Learning Assistant
Dialectal Arabic (DA) poses serious challenges for Natural Language Processing (NLP).
Developing an Egyptian Arabic Treebank: Impact of Dialectal Morphology on Annotation and Tool Development
This paper describes the parallel development of an Egyptian Arabic Treebank and a morphological analyzer for Egyptian Arabic (CALIMA).
Large Scale Arabic Error Annotation: Guidelines and Framework
Finally, we present the annotation tool that was developed as part of this project, the annotation pipeline, and the quality of the resulting annotations.
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic
In this paper, we present MADAMIRA, a system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA (Habash and Rambow, 2005; Habash et al., 2009; Habash et al., 2013) and AMIRA (Diab et al., 2007).
A Multidialectal Parallel Corpus of Arabic
The daily spoken variety of Arabic is often termed the colloquial or dialect form of Arabic.
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition
In this paper we describe an effort to create a corpus and phonetic dictionary for Tunisian Arabic Automatic Speech Recognition (ASR).
A Conventional Orthography for Tunisian Arabic
Tunisian Arabic is a dialect of the Arabic language spoken in Tunisia.
Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon
Multiple levels of quality checks are performed on the output of each step in the creation process.
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research.
Conventional Orthography for Dialectal Arabic
Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken in the Arab world.
