Abstract
Our submission is a non-structural Example-Based Machine Translation system that translates text from Arabic to English, using a parallel corpus aligned at the paragraph / sentence level. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological information. Source-language synonyms were derived automatically and used to help locate potential translation examples for fragments of a given input sentence. We participated in the BTEC task for translating Arabic sentences to English.
| Original language | English |
|---|---|
| Pages | 169-174 |
| Number of pages | 6 |
| State | Published - 2010 |
| Event | 7th International Workshop on Spoken Language Translation, IWSLT 2010 - Paris, France Duration: 2 Dec 2010 → 3 Dec 2010 |
Conference
| Conference | 7th International Workshop on Spoken Language Translation, IWSLT 2010 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 2/12/10 → 3/12/10 |