Tweet Conversation Annotation Tool with a Focus on an Arabic Dialect, Moroccan Darija
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSimilar Papers 제목 키워드 기반
Finding Romanized Arabic Dialect in Code-Mixed Tweets
Recent computational work on Arabic dialect identification has focused primarily on building and annotating corpora written in Arabic script. Arabic dialects however also appear written in Roman script, especially in soc…
Dialect IdentificationLanguage IdentificationArap-Tweet: A Large Multi-Dialect Twitter Corpus for Gender, Age and Language Variety Identification
In this paper, we present Arap-Tweet, which is a large-scale and multi-dialectal corpus of Tweets from 11 regions and 16 countries in the Arab world representing the major Arabic dialectal varieties. To build this corpus…
Author ProfilingArabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations
Speech acts are the actions that a speaker intends when performing an utterance within conversations. In this paper, we proposed speech act classification for asynchronous conversations on Twitter using multiple machine …
BIG-bench Machine Learningsarcasm detection and quantification in arabic tweets
The role of predicting sarcasm in the text is known as automatic sarcasm detection. Given the prevalence and challenges of sarcasm in sentiment-bearing text, this is a critical phase in most sentiment analysis tasks. Wit…
Binary ClassificationSarcasm DetectionSentiment AnalysisCreating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data
We present our effort to create a large Multi-Layered representational repository of Linguistic Code-Switched Arabic data. The process involves developing clear annotation standards and Guidelines, streamlining the annot…
Management