Machine Translation and Automated Analysis of the Sumerian Language
This paper presents a newly funded international project for machine translation and automated analysis of ancient cuneiform languages where NLP specialists and Assyriologists collaborate to create an information retrieval system for Sumerian. This research is conceived in response to the need to translate large numbers of administrative texts that are only available in transcription, in order to make them accessible to a wider audience. The methodology includes creation of a specialized NLP pipeline and also the use of linguistic linked open data to increase access to the results.
Code (0)
등록된 구현이 없습니다.
Tasks
Information RetrievalMachine TranslationRetrievalTranslationSimilar Papers 제목 키워드 기반
Towards the First Machine Translation System for Sumerian Transliterations
The Sumerian cuneiform script was invented more than 5,000 years ago and represents one of the oldest in history. We present the first attempt to translate Sumerian texts into English automatically. We publicly release h…
Cultural Vocal Bursts Intensity PredictionMachine TranslationTransfer LearningTranslationHow Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
Despite the recent advancements of attention-based deep learning architectures across a majority of Natural Language Processing tasks, their application remains limited in a low-resource setting because of a lack of pre-…
Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+2SumTablets: A Transliteration Dataset of Sumerian Tablets
Sumerian transliteration is a conventional system for representing a scholar's interpretation of a tablet in the Latin script. Thanks to visionary digital Assyriology projects such as ETCSL, CDLI, and Oracc, a large numb…
Machine Translation Systems in India
Machine Translation is the translation of one natural language into another using automated and computerized means. For a multilingual country like India, with the huge amount of information exchanged between various reg…
Machine TranslationTranslationInvestigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Identification of the languages written using cuneiform symbols is a difficult task due to the lack of resources and the problem of tokenization. The Cuneiform Language Identification task in VarDial 2019 addresses the p…
BIG-bench Machine LearningDialect IdentificationLanguage Identification