NLP research in Hebrew has largely focused on morphology and syntax, where rich annotated datasets in the spirit of Universal Dependencies are available. Semantic datasets, however, are in short supply, hindering crucial advances in the development o
f NLP technology in Hebrew. In this work, we present ParaShoot, the first question answering dataset in modern Hebrew. The dataset follows the format and crowdsourcing methodology of SQuAD, and contains approximately 3000 annotated examples, similar to other question-answering datasets in low-resource languages. We provide the first baseline results using recently-released BERT-style models for Hebrew, showing that there is significant room for improvement on this task.
The /n/ is an original consonant in Hebrew and Arabic, and comparative linguistic studies confirm its originality in all Semitic languages. Due to the importance of the /n/ in the vocal structure of the Arabic word, the Quranic literature allocated
chapters to study its rules. But the importance of this consonant is not restricted to phonetics only. We have found that it has effects on the linguistic and grammatical structure of the word in both Hebrew and Arabic. Therefore, our study aims to unveil the importance of this consonant and its role in the linguistic structure of the word in both languages. To achieve this we adopted the comparative linguistic approach.
Knowing the vowels in the Hebrew language is one of the most important obstacles faced by learners of the Hebrew language, because of the complexity compared to their counterparts in the Arabic language. I have worked hard, in my research, on
simplifying them, as far as possible, for the Arab recipients through comparing them to their counterparts in the Arabic language. This research may show us that most Vowels in Hebrew have similar counterparts in Arabic, but Arab linguist did not allocate an independent vowel for each case as Hebrew linguists did, which suggests to the neophyte that the number of the symbols of vowels in Hebrew is larger than the number of those in Arabic.
