Multi-system machine translation using online APIs for English-Latvian
نویسنده
چکیده
This paper describes a hybrid machine translation (HMT) system that employs several online MT system application program interfaces (APIs) forming a MultiSystem Machine Translation (MSMT) approach. The goal is to improve the automated translation of English – Latvian texts over each of the individual MT APIs. The selection of the best hypothesis translation is done by calculating the perplexity for each hypothesis. Experiment results show a slight improvement of BLEU score and WER (word error rate).
منابع مشابه
Syntax-based Multi-system Machine Translation
This paper describes a hybrid machine translation system that explores a parser to acquire syntactic chunks of a source sentence, translates the chunks with multiple online machine translation (MT) system application program interfaces (APIs) and creates output by combining translated chunks to obtain the best possible translation. The selection of the best translation hypothesis is performed b...
متن کاملMulti-word Expressions in English-Latvian Machine Translation
The paper presents series of experiments that aim to find best method how to treat multi-word expressions (MWE) in machine translation task. Methods have been investigated in a framework of statistical machine translation (SMT) for translation form English into Latvian. MWE candidates have been extracted using pattern-based and statistical approaches. Different techniques for MWE integration in...
متن کاملThe QT21 Combined Machine Translation System for English to Latvian
This paper describes the joint submission of the QT21 projects for the English→Latvian translation task of the EMNLP 2017 Second Conference on Machine Translation (WMT 2017). The submission is a system combination which combines seven different statistical machine translation systems provided by the different groups. The systems are combined using either RWTH’s system combination approach, or U...
متن کاملTowards Improving English-Latvian Translation: A System Comparison and a New Rescoring Feature
This paper presents a comparative study of two alternative approaches to statistical machine translation (SMT) and their application to a task of English-to-Latvian translation. Furthermore, a novel feature intending to reflect the relatively free word order scheme of the Latvian language is proposed and successfully applied on the n-best list rescoring step. Moving beyond classical automatic s...
متن کاملThe Helsinki Neural Machine Translation System
We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English–Finnish. We discuss the success of English–Finnish translations and the overall advantage of NMT over a strong SMT baseline. We also discuss our submissions for English–Latvian, English– C...
متن کامل