Toward verbalizing ontologies in isiZulu
IsiZulu is one of the eleven official languages of South Africa and roughly half the population can speak it. It is the first (home) language for over 10 million people in South Africa. Only a few computational resources exist for isiZulu and its related Nguni languages, yet the imperative for tool development exists. We focus on natural language generation, and the grammar options and preferences in particular, which will inform verbalization of knowledge representation languages and could contribute to machine translation. The verbalization pattern specification shows that the grammar rules are elaborate and there are several options of which one may have preference. We devised verbalization patterns for subsumption, basic disjointness, existential and universal quantification, and conjunction. This was evaluated in a survey among linguists and non-linguists. Some differences between linguists and non-linguists can be observed, with the former much more in agreement, and preferences depend on the overall structure of the sentence, such as singular for subsumption and plural in other cases.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSentenceText GenerationTranslationSimilar Papers 제목 키워드 기반
Redundancy-free Verbalization of Individuals for Ontology Validation
We investigate the problem of verbalizing Web Ontology Language (OWL) axioms of domain ontologies in this paper. The existing approaches address the problem of fidelity of verbalized OWL texts to OWL semantics by explori…
Low-Resource Neural Machine Translation for Southern African Languages
Low-resource African languages have not fully benefited from the progress in neural machine translation because of a lack of data. Motivated by this challenge we compare zero-shot learning, transfer learning and multilin…
Low Resource Neural Machine TranslationLow-Resource Neural Machine TranslationMachine TranslationSentence+3OWLSIZ: An isiZulu CNL for structured knowledge validation
In iterative knowledge elicitation, engineers are expected to be directly involved in validating the already captured knowledge and obtaining new knowledge increments, thus making the process time consuming. Languages su…
Practical Approach on Implementation of WordNets for South African Languages
This paper proposes the implementation of WordNets for five South African languages, namely, Sepedi, Setswana, Tshivenda, isiZulu and isiXhosa to be added to open multilingual WordNets (OMW) on natural language toolkit (…
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition
We present an analysis of semi-supervised acoustic and language model training for English-isiZulu code-switched ASR using soap opera speech. Approximately 11 hours of untranscribed multilingual speech was transcribed au…
Language ModelingLanguage Modellingspeech-recognitionSpeech Recognition