Corpus based approaches to machine translation namely Example based machine translation and Statistical machine translation have received wide focus in the recent years. Hybrid approaches combining the two further improved the performance. Indian language machine translation has mostly focussed on rule based machine translation. We propose a hybrid approach to Example based 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...

Abstract In the field of machine translation, significant progress has been made by using statistical methods. In this paper we suggest a statistical machine translation system for Sign Language and written language, especially for the language pair German Sign Language (DGS) and German. After introducing the system’s architecture, statistical machine translation in general and notation systems...

Log-linear models represent nowadays the state-of-the-art in statistical machine translation. There, several models are combined altogether into a whole statistical approach. Finite-state transducers constitute a special type of statistical translation model whose interest has been proved in different translation tasks. The goal of this work is to introduce a finite-state framework for a log-li...

We developed a two-stage machine translation (MT) system. The first stage consists of an automatically created pattern-based machine translation system, and the second stage consists of a standard statistical machine translation (SMT) system. For French-English machine translation, we first used a French-English pattern-based MT, and we obtained ”English” sentences from French sentences. Second...

In this paper, it is described how an Assamese sentence is translated to English using statistical machine translation. Statistical Machine Translation is the paradigm where translations from source to target language are based on statistical models. Moses is used as a platform for Statistical Machine Translation. GIZA++ is also used for word-alignment and IRSTLM for language model training. A ...

We discuss phrase-based statistical machine translation performance enhancing techniques which have proven effective for Japanese-to-English and Chinese-toEnglish translation of BTEC corpus. We also address some issues that arise in conversational speech translation quality evaluations.

A number of approaches have been taken to improve lexical consistency in Statistical Machine Translation. However, little has been written on the subject of where and when to encourage consistency. I present an analysis of human authored translations, focussing on words belonging to different parts-of-speech across a number of different genres.