Diacritization

AbstractWe have adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK). First, we extract AWN’s instantiable nouns and …...

We are interested in diacritizing Semitic lan- guages, especially Syriac, using only dia- critized texts. Previous methods have required the use of tools such as part-of-speech taggers, segmenters, morphological analyzers, …...

The many differences between Dialectal Ara- bic and Modern Standard Arabic (MSA) pose a challenge to the majority of Arabic natural language processing tools, which are designed for MSA. In …...

Arabic, Hebrew, and similar languages are typi- cally written without diacritics, leading to ambigu- ity and posing a major challenge for core language processing tasks like speech recognition. Previous approaches …...

AbstractWe present a novel technique for Arabic morphological annotation. The technique utilizes diacritization to produce morphological annotations of quality comparable to human annotators. Although Arabic text is generally written without …...

AbstractWe propose a novel multitask learning method for diacritization which trains a model to both diacritize and translate. Our method addresses data sparsity by exploiting large, readily available bitext corpora. …...