WordNet Gloss Translation for Under-resourced Languages using Multilingual Neural Machine Translation
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationTranslationSimilar Papers 제목 키워드 기반
Improving Wordnets for Under-Resourced Languages Using Machine Translation
Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not avai…
Machine TranslationTranslationMultilingual eXtended WordNet Knowledge Base: Semantic Parsing and Translation of Glosses
This paper presents a method to create WordNet-like lexical resources for different languages. Instead of directly translating glosses from one language to another, we perform first semantic parsing of WordNet glosses an…
Machine TranslationSemantic ParsingTranslationAutomatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations
Interlinear Glossed Text (IGT) is a widely used format for encoding linguistic information in language documentation projects and scholarly papers. Manual production of IGT takes time and requires linguistic expertise. W…
Cross-Lingual TransferLEMMATAGProblems and Procedures to Make Wordnet Data (Retro)Fit for a Multilingual Dictionary
The data compiled through many Wordnet projects can be a rich source of seed information for a multilingual dictionary. However, the original Princeton WordNet was not intended as a dictionary per se, and spawning other …
Navigating Challenges of Multilingual Resource Development for Under-Resourced Languages: The Case of the African Wordnet Project
Creating a new wordnet is by no means a trivial task and when the target language is under-resourced as is the case for the languages currently included in the multilingual African Wordnet (AfWN), developers need to rely…