We describe the experiments of the UC Berkeley team on improving English-Spanish machine translation of news text, as part of the WMT’08 Shared Translation Task. We experiment with domain adaptation, combining a small in-domain news bi-text and a large out-of-domain one from the Europarl corpus, building two separate phrase translation models and two separate language models. We further add a t...

This paper reports ongoing experiments towards exploiting the use of images to provide additional context for statistical machine translation (SMT). We investigate whether this contextual information can be helpful in targeting two well-known challenges in machine translation: ambiguity (incorrect translation of words that have multiple senses) and out-of-vocabulary words (words left untranslat...

The aim of the present study was to investigate the importance of skopos in the translation of political texts from English into Persian. To do this, 30 Iranian translators were conveniently selected and equally divided into the in-house and freelance translators. They were asked to translate a translation test encompassing 10 short political texts that were extracted from English news websites...

The Informedia Digital Video Library Project includes a multilingual component for retrieval of video documents in multiple languages and a topic-labeling component for English video documents. We now extend this capability to English topic labeling of foreign-language broadcast-news stories. News stories are coarsely machine-translated into English, then assigned to a topic category using a K-...

This presentation demonstrates a new multi-engine machine translation system, which combines knowledge-based and example-based machine translation strategies for realtime translation of business news captions from English to German.

We have developed a Japanese-to-English machine translation system for market flash reports called ALTFLASH. ALTFLASH is a hybrid translation system based on a combination of rule-based translation and template-based translation systems. The experimental results were that the system could achieve good translation for 90% of source sentences (70% of articles) in reports on the foreign section of...

Huge multilingual news articles are reported and disseminated on the Internet. ltow to extract the kcy information and savc the reading time is a crucial issue. This paper proposes architecture of multilingual news sumlnarizer, including monolingual and multilingual clustering, similarity measure among lneaningful ullits, and presentation of summarization results. Translation anlong news storie...