DOCUMENT TRANSLATION RETRIEVAL BASED ON STATISTICAL MACHINE TRANSLATION TECHNIQUES
نویسندگان
چکیده
منابع مشابه
Document Translation Retrieval Based on Statistical Machine Translation Techniques
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Finding the translated version of a document is a relevant task, for example, when building a corpus of parallel texts that can help to create and to evaluate new machine translation systems. In contrast to the tradition...
متن کاملCache-based Document-level Statistical Machine Translation
Statistical machine translation systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring document-level information. In this paper, we propose a cache-based approach to document-level translation. Since caches mainly depend on relevant data to supervise subsequent decisions, it is critical to fill the caches with highly-relevant da...
متن کاملStatistical machine translation based passage retrieval
In this paper, we apply the statistical machine translation based passage retrieval, which was proposed at the last NTCIR-6 CLQA subtask, to the IR4QA Task. The experimental evaluation shows that the method is more effective for the relation and event type questions, which are longer and including relatively mane common keywords, than the definition and biography type questions, which are short...
متن کاملDocument-Wide Decoding for Phrase-Based Statistical Machine Translation
Independence between sentences is an assumption deeply entrenched in the models and algorithms used for statistical machine translation (SMT), particularly in the popular dynamic programming beam search decoding algorithm. This restriction is an obstacle to research on more sophisticated discourse-level models for SMT. We propose a stochastic local search decoding method for phrase-based SMT, w...
متن کاملOn Statistical Machine Translation and Translation Theory
The translation process in statistical machine translation (SMT) is shaped by technical constraints and engineering considerations. SMT explicitly models translation as search for a target-language equivalent of the input text. This perspective on translation had wide currency in mid-20th century translation studies, but has since been superseded by approaches arguing for a more complex relatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Artificial Intelligence
سال: 2011
ISSN: 0883-9514,1087-6545
DOI: 10.1080/08839514.2011.559906