abstractthis study evaluated the translation quality of english equivalents of persian proper nouns in the tourist signs and bilingual boards in isfahan. to find different errors in the translations of the bilingual boards and tourist signs, the data were collected directly by taking picture or writing exactly from the available tourist signs and bilingual boards. then, the errors were assessed...

Abstract This study evaluated the translation quality of English equivalents of Persian proper nouns in the tourist signs and bilingual boards in Isfahan. To find different errors in the translations of the bilingual boards and tourist signs, the data were collected directly by taking picture or writing exactly from the available tourist signs and bilingual boards. Then, the errors were assesse...

Abstract This study evaluated the translation quality of English equivalents of Persian proper nouns in the tourist signs and bilingual boards in Isfahan. To find different errors in the translations of the bilingual boards and tourist signs, the data were collected directly by taking picture or writing exactly from the available tourist signs and bilingual boards. Then, the errors were assesse...

We present BLAST, an open source tool for error analysis of machine translation (MT) output. We believe that error analysis, i.e., to identify and classify MT errors, should be an integral part of MT development, since it gives a qualitative view, which is not obtained by standard evaluation methods. BLAST can aid MT researchers and users in this process, by providing an easy-to-use graphical u...

This paper proposes a typology concerning errors and linguistic structures found in the source text that have an impact on Machine Translation (MT). The main objectives of this project were firstly, to make comparison between error typologies analyze them according their suitability; annotated data build data-driven while adapting previous existing typologies; distinction produced by users agen...

Intelligibility and fidelity are the two key notions in machine translation system evaluation, but do not always provide enough information for system development. Detailed information about the type and number of errors of each type that a translation system makes is important for diagnosing the system, evaluating the translation approach, and allocating development resources. In this paper, w...

This paper presents a proposal for a grammar error typology oriented towards the development of an automatic grammar and style checker. Cognitively– motivated errors have been considered the first and foremost objective. In particular, in the area of grammar checking, the granularity of the error typology greatly influences the adequacy of the error messages shown to the final user during the d...