Predictive Models of Performance in Multi-Engine Machine Translation
نویسندگان
چکیده
The paper describes a novel approach to Multi-Engine Machine Translation. We build statistical models of performance of translations and use them to guide us in combining and selecting from outputs from multiple MT engines. We empirically demonstrate that the MEMT system based on the models outperforms any of its component engine.
منابع مشابه
A new model for persian multi-part words edition based on statistical machine translation
Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...
متن کاملMulti-Engine Machine Translation with Voted Language Model
The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from multiple off-theshelf MT systems. Experiments are done using large corpora from three distinct domains. The study found that the use of voted language models leads to an improved performance of MEMT systems.
متن کاملOptimization of GRI-mech 3.0 Mechanism using HCCI Combustion Models and Genetic Algorithm
This paper presents a modeling study of a CNG Homogenous Charge Compression Ignition (HCCI) engine using single-zone and multi-zone combustion models. Authors' developed code could be able to predict engine combustion and performance parameters in closed part of the engine cycle. As detailed chemical kinetics is necessary to investigate combustion process in HCCI engines, therefore, GRI-m...
متن کاملDevelopment of an in-cylinder processes model of a CVVT gasoline engine using artificial neural network
Today, employing model based design approach in powertrain development is being paid more attention. Precise, meanwhile fast to run models are required for applying model based techniques in powertrain control design and engine calibration. In this paper, an in-cylinder process model of a CVVT gasoline engine is developed to be employed in extended mean valve control oriented model and also mod...
متن کاملCombining Multi-Engine Machine Translation and Online Learning through Dynamic Phrase Tables
Extending phrase-based Statistical Machine Translation systems with a second, dynamic phrase table has been done for multiple purposes. Promising results have been reported for hybrid or multi-engine machine translation, i.e.\ building a phrase table from the knowledge of external MT systems, and for online learning. We argue that, in prior research, dynamic phrase tables are not scored optimal...
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 2003