ZZX_MT: the BeiHang MT System for NTCIR-9 PatentMT Task
نویسندگان
چکیده
In this paper, we describe ZZX_MT machine translation system for the NTCIR-9 Patent Machine Translation Task(PatentMT). We participated in the Chinese-English translation subtask and submit three results, which correspond to three different models or decoding algorithms respectively. Both of the first two are phrase-based SMT approaches integrating the BTG constraint into reordering models, and the last one is a hybrid system, which is an SMT system while using an example-based decoder.
منابع مشابه
The NiuTrans Machine Translation System for NTCIR-9 PatentMT
This paper describes the NiuTrans system developed by the Natural Language Processing Lab at Northeastern University for the NTCIR-9 Patent Machine Translation task (NTCIR-9 PatentMT). We present our submissions to the two tracks of NTCIR-9 PatentMT, and show several improvements to our phrase-based Statistical MT engine, including: a hybrid reordering model, large-scale language modeling, and ...
متن کاملMachine Translation System for Patent Documents Combining Rule-based Translation and Statistical Postediting Applied to the NTCIR-10 PatentMT Task
In this article, we describe system architecture, preparation of training data and discussion on experimental results of the EIWA group in the NTCIR-10 Patent Translation Task. Our system is combining rule-based machine translation and statistical postediting. The thing about our new system compared with NTCIR-9 PatentMT task is to implement automatic selecting method from multiple translations...
متن کاملBBN's Systems for the Chinese-English Sub-task of the NTCIR-9 PatentMT Evaluation
This paper describes the work we conducted for building a statistical machine translation (SMT) system for the ChineseEnglish sub-task of the NTCIR-9 patent machine translation (MT) evaluation [17]. We first applied the various techniques on patent data that we had developed for improving SMT performance on other types of data. Our results show that most of the techniques work on patent documen...
متن کاملLearning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT
This paper describes the patent translation system submitted for the NTCIR-9 PatentMT task. We applied the Linear Ordering Problem (LOP) based reordering model [16] to Japanese-to-English translation to deal with the substantial difference in the word order between the two languages.
متن کاملEBMT System of KYOTO Team in PatentMT Task at NTCIR-9
This paper describes“KYOTO”EBMT system that attended PatentMT task at NTCIR-9. When translating very different language pairs such as Japanese-English and ChineseEnglish, it is very important to handle sentences in tree structures to overcome the difference. Some works incorporate tree structures in some parts of whole translation process, but not all the way from model training (parallel sente...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011