Hungarian-English Machine Translation Using GenPar
| Autor: | András Hócza, András Kocsor |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Parsing
Machine translation Computer science business.industry Treebank computer.software_genre Machine translation software usability Example-based machine translation Rule-based machine translation Artificial intelligence Evaluation of machine translation business computer Natural language processing Natural language |
| Zdroj: | Text, Speech and Dialogue ISBN: 9783540390909 TSD |
| DOI: | 10.1007/11846406_11 |
| Popis: | We present an approach for machine translation by applying the GenPar toolkit on POS-tagged and syntactically parsed texts Our experiment in Hungarian-English machine translation is an attempt to develop prototypes of a syntax-driven machine translation system and to examine the effects of various preprocessing steps (POS-tagging, lemmatization and syntactic parsing) on system performance The annotated monolingual texts needed for different language specific tasks were taken from the Szeged Treebank and the Penn Treebank The parallel sentences were collected from the Hunglish Corpus Each developed prototype runs fully automatically and new Hungarian-related functions are built in The results are evaluated with BLEU score. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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