Access to information is increasingly global, which brings with it the growth in a non-English speaking public and, as such, demand for tools that allow users access this information. Faced scenario, development of new and technologies essential. This case machine translation (MT), one most popular used overcome linguistic barriers. As result, companies are offering services related MT. In addi...

Machine translation is the process of translating text from one natural language to other using computers. The process requires extreme intelligence and experience like a human being that a machine usually lacks. Availability of machine translators for translation from English to Dravidian language, Malayalam is on the low. A few corpus-based and non-corpus based approaches have been tried in p...

In this opinion paper, we describe our research work on machine translation evaluation approaches that include mechanisms for human feedback and are designed to allow partial adaptation of the translation models which are being evaluated. While there exists a plethora of different automatic evaluation metrics for machine translation, their output in terms of scores, distances, etc. quite often ...

One of difficult issues in pattern-based machine translation system is maybe to find how to overcome the domain difference in adapting a system from one domain to other domain. This paper describes how we have resolved such barriers among domains as default target word of any domain, domain-specific patterns, and domain adaptation of engine modules in pattern-based machine translation system, e...

This paper describes our Kyoto-U system that attended the IWSLT06 Japanese-English machine translation task. Example-based machine translation is applied in this system to integrate our study on both structural NLP and machine translation.

This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system. The speech translation system consists of three modules: automatic speech recognition, machine translation and text to speech synthesis. Many procedures for incorporation of speech recognition and machin...

When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into grammatically correct target-language sentences. In this paper we describe how to adapt the alignment templates used in statistical machine translation to the rulebased machine translation framework. The alignment templa...

This paper presents our Chinese-to-Japanese patent machine translation system for WAT 2016 (Group ID: ntt) that uses syntactic pre-ordering over Chinese dependency structures. Chinese words are reordered by a learning-to-rank model based on pairwise classification to obtain word order close to Japanese. In this year’s system, two different machine translation methods are compared: traditional p...

In this survey brief historical review of natural language processing and machine translation in Japan is given first. This is followed by an explanation of a few typical research results in the morphological and syntactic analyses of the Japanese language. Machine translation has been getting the spotlight once again in Japan. Two research results are explained in some detail. One is the machi...