In order to treat a wide scope of news sentences, the system is provided with more than I00,000 lexical entries as well as about 3,000 grammatical rules which can robustly analyze various types of undefined words. It is also effective in translation of news sentences to preprocess proper nouns, to resolve structural ambiguities by weighting grammatical rules, and to select appropriate words usi...

This paper describes a fully-automated realtime broadcast news video and audio processing system. The system combines speech recognition, machine translation, and crosslingual information retrieval components to enable real-time alerting from live English and Arabic news sources.

Huge multilingual news articles are reported and disseminated on the Internet. How to extract the key information and save the reading time is a crucial issue. This paper proposes architecture of multilingual news summarizer, including monolingual and multilingual clustering, similarity measure among meaningful units, and presentation of summarization results. Translation among news stories, id...

Recently, the use of syntax has very effectively improved machine translation (MT) quality in many text translation tasks. However, using syntax in speech translation poses additional challenges because of disfluencies and other spoken language phenomena, and of errors introduced by automatic speech recognition (ASR). In this paper, we investigate the effect of using syntax in a large-scale aud...

For NTCIR Workshop 6 UC Berkeley participated in Phase 1 of the bilingual task of the CLIR track. Our focus was upon Japanese topic search against the Chinese News Document Collection and upon Chinese topic searches retrieving from Japanese News document collection. We performed search experiments to segment and use Chinese search topics directly as if they were Japanese topics and vice versa. ...

This paper describes the neural machine translation systems of the University of Latvia, University of Zurich and University of Tartu. We participated in the WMT 2017 shared task on news translation by building systems for two language pairs: English↔German and English↔Latvian. Our systems are based on an attentional encoder-decoder, using BPE subword segmentation. We experimented with backtran...

This article discusses the collaborative nature of news translation, specifically in case community radio South Africa. It starts with a short overview Africa, emphasising participatory and interactive thereof. The following section provides journalistic translation highlighting multi-source multiple-author realities this form translation. These characteristics are linked to literature on argum...

News report has become an important source for people to obtain information, and as the “eye” of a piece news, title highly summarizes its theme, expresses attitude author. By analyzing relevant literature, it is found that most current studies focus on stylistic characteristics translation principles news translation. The headline are limited. Besides, researches headlines mainly specific meth...

In this paper we describe the work carried out to develop an automatic system for translation of broadcast news from Spanish to Portuguese. Two challenging topics of speech and language processing were involved: Automatic Speech Recognition (ASR) of the Spanish News and Statistical Machine Translation (SMT) of the results to the Portuguese language. ASR of broadcast news is based on the AUDIMUS...