Some of the difficulties and misunderstandings that happen in accounting theory, practice, regulation and education are grounded in language and linguistics. As an illustration of this the Persian equivalent of 'accounting' is linguistically analysed to reveal how a mistranslation may cause difficulties in understanding and improving Iranian Accounting. This paper shows how Hesaabdaaree is not ...

Translators always seek to find the best equivalents for each word, sentence or phrase in the target language (TL) in order to have the most accurate and meaningful translation of the text. Generally, a translator’s main concern is whether to prefer the form over the content or vice versa. In translation studies, literal translation prioritizes the form while free translation concentrates on th...

Language modeling is an important part for both speech recognition and machine translation systems. Adaptation has been successfully applied to language models for speech recognition. In this paper we present experiments concerning language model adaptation for statistical machine translation. We develop a method to adapt language models using information retrieval methods. The adapted language...

Many studies can be found on translation teaching and students' perceptions of different classroom prac- tices. However, few studies have focused on how translator trainers view the task at hand. In the present study, the researchers aimed to explore the challenges translator trainers faced during the act of teaching translation. The method applied in this research was ethnography. The pa...

Machine Translation is a task to translate the text from a source language to a target language in an automatic manner. Here, we describe a system that translate the English language to Assamese language text which is based on Phrase based statistical translation technique. To overcome the translation problem related with highly open word class like Proper Noun or the Out Of Vocabulary words we...

Machine Translation has been a topic of research from the past many years. Many methods and techniques have been proposed and developed. However, quality of translation has always been a matter of concern. In this paper, we outline a target language generation mechanism with the help of language English-Sanskrit language pair using rule based machine translation technique [1]. Rule Based Machin...

A machine translation model has been proposed where an input is translated through both source-language and target-language paraphrasing processes. We have implemented our prototype model for the Japanese-Chinese language pair. This paper describes our core idea of translation, where a source language paraphraser and a language transfer cooperates in translation by exchanging information about ...

Today, word sense disambiguation (WSD) is an important technique for many natural language processing (NLP) applications such as grammatical analysis, content analysis, information retrieval and machine translation. Among them, the WSD technique is used for machine translation to find the correct sense of a word in a specific context. In machine translation, the input sentences in the source la...

abstractthis study focused mainly on the shifts of the grammatical cohesion in texts translated from english into persian. it aimed to identify the grammatical cohesive devices (gcds) in st and tt separately, based on halliday and hassn's model (1976), determine the number of occurrences of gcds in two texts and finally, illustrate types of shifts of grammatical cohesion and strategies used in ...

We compare two pivot strategies for phrase-based statistical machine translation (SMT), namely phrase translation and sentence translation. The phrase translation strategy means that we directly construct a phrase translation table (phrase-table) of the source and target language pair from two phrase-tables; one constructed from the source language and English and one constructed from English a...