The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation
نویسندگان
چکیده
This paper describes the system we developed to improve German-English translation of News text for the shared task of the Fifth Workshop on Statistical Machine Translation. Working within cdec, an open source modular framework for machine translation, we explore the benefits of several modifications to our hierarchical phrase-based model, including segmentation lattices, minimum Bayes Risk decoding, grammar extraction methods, and varying language models. Furthermore, we analyze decoder speed and memory performance across our set of models and show there is an important trade-off that needs to be made.
منابع مشابه
A Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملThe Correlation of Machine Translation Evaluation Metrics with Human Judgement on Persian Language
Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...
متن کاملA 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 کاملCUED Submission for the WMT10 Translation Shared Task
This paper describes the Cambridge University Engineering Department (CUED) system for the ACL 2010 fifth workshop on statistical machine translation (WMT10). We participated in the FrenchEnglish and Spanish-English translation shared tasks in both directions. The CUED system is a hierarchical phrase-based system that uses finite-state transducers and lattice rescoring. In the French-English ta...
متن کاملThe RWTH Aachen Machine Translation System for WMT 2010
In this paper we describe the statistical machine translation system of the RWTH Aachen University developed for the translation task of the Fifth Workshop on Statistical Machine Translation. Stateof-the-art phrase-based and hierarchical statistical MT systems are augmented with appropriate morpho-syntactic enhancements, as well as alternative phrase training methods and extended lexicon models...
متن کامل