Mixed up with machine Translation: Multi-word Units Disambiguation Challenge.
Year: 2010
Type: conference-paper
Abstract: The poor analysis and translation of multi-word units is an arena where investment in linguistic knowledge systems with the goal of improving machine translation would be beneficial. This paper addresses the difficulties multi-word units present to machine translation, by comparing translations performed by systems adopting different approaches to machine translation. It proposes a solution for improving the quality of the translation of multi-word units by adopting a methodology that combines Lexicon-Grammar resources with OpenLogos lexical resources and semantico-syntactic rules. Finally, it discusses the need to create new evaluation metrics and a machine translation evaluation tool to correctly evaluate the performance of machine translation engines with regards to multi-word units and thus to contribute to the improvement of translation quality.
Source: HAL
Institution: University of Salerno
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2245970377