Machine translation training data for English-Tshivenḓa.

This data article describes a machine translation training data set for translation between English and Tshivenḓa. The data set contains parallel, aligned English-Tshivenḓa data as well as monolingual Tshivenḓa data. The data was collected from both web crawling of multilingual South African government sites and matched documents from translators or publishing sources.

Dataset for Siswati: Parallel textual data for English and Siswati and monolingual textual data for Siswati.

This data article presents a dataset for Siswati, a Bantu language of the Nguni group that is one of the eleven official South African languages and the official language of Eswatini (together with English). The dataset contains parallel textual data between English and Siswati as well as monolingual data for Siswati and was developed for use as training data for machine translation systems, specifically the Autshumato machine translation project. Both corpora can also be used for development and evaluation of Natural Language Processing (NLP) core technologies for Siswati.

Linguistically annotated dataset for four official South African languages with a conjunctive orthography: IsiNdebele, isiXhosa, isiZulu, and Siswati.

This data article presents a linguistically annotated data set for four official South African languages with a conjunctive orthography, namely isiNdebele, isiXhosa, isiZulu and Siswati. The data set is parallel for all four languages and can be used for language-specific as well as cross-language development and evaluation of Natural Language Processing (NLP) core technologies. In addition, it can be used for corpus linguistic studies.

Dataset for comparable evaluation of machine translation between 11 South African languages.

This data article describes the Autshumato machine translation evaluation set. The evaluation set contains data that can be used to evaluate machine translation systems between any of the 11 official South African languages. The dataset is parallel with four reference translations available for each of the following languages: Afrikaans, English, isiNdebele, isiXhosa, isiZulu, Sepedi, Sesotho, Setswana, Siswati, Tshivenḓa and Xitsonga.

The treatment of chronic recurrent oral aphthous ulcers.

Background: Chronic recurrent oral aphthous ulcers are the most common type of inflammatory efflorescence of the oral mucosa, with a prevalence of 2% to 10% in Caucasian populations. To treat them properly, physicians should know their clinical appearance and course, conditioning factors, underlying causes, and differential diagnosis.

Method: This review is based on pertinent articles that were retrieved by a selective search in PubMed and in the Cochrane Central Register of Controlled Trials.