Work

Morphology-rich Alphasyllabary Embeddings.

Year: 2020

Type: article

Source: Language Resources and Evaluation

Authors: Amanuel Mersha, Stephen Wu

Institution: The University of Texas Health Science Center at Houston

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3032007682

FWCI:

Cites: 17

Cited by:

Related to: 20