Naturalization is a translation procedure that is predominantly utilized in the translation of English medical terms into Indonesian. This study focuses on identifying types of naturalization involving the adjustment of spelling and pronunciation and investigating whether naturalization has been appropriately applied based on the rules in the Indonesian general guidance of term formation. The d...

Naturalization is a translation procedure that is predominantly utilized in the translation of English medical terms into Indonesian. This study focuses on identifying types of naturalization involving the adjustment of spelling and pronunciation and investigating whether naturalization has been appropriately applied based on the rules in the Indonesian general guidance of term formation. The d...

Work performed under the SPElling Error Detection Correction Project (SPEEDCOP) supported by National Science Foundation (NSF) at Chemical Abstracts Service (CAS) to devise effective automatic methods of detecting and correcting misspellings in scholarly and scientific text is described. The investigation was applied to 50,000 wordlmisspelling pairs collected from six datasets (Chemical Industr...

In this paper, we propose a new model for refining SMS text messages where two different kinds of grammatical errors frequently occur together. A two-phase approach based on the divide and conquer strategy is presented where HMM-based model is used for correcting spacing errors in the first phase, and rule-based correction model is used for correcting spelling errors in the second phase. Experi...

This paper describes the submission of the National University of Singapore (NUS) to the Helping Our Own (HOO) Pilot Shared Task. Our system targets spelling, article, and preposition errors in a sequential processing pipeline.

In computing, spell checking is the process of detecting and sometimes providing spelling suggestions for incorrectly spelled words in a text. Basically, a spell checker is a computer program that uses a dictionary of words to perform spell checking. The bigger the dictionary is, the higher is the error detection rate. The fact that spell checkers are based on regular dictionaries, they suffer ...

This study aims to find out why students spell incorrectly at the university level in Bangladesh. To discover causes this has followed two research questions regarding possible reasons behind making spelling errors and learners’ attitude towards errors. A few previous pieces of have already been done on ground focusing errors, but they hardly focused specifically students. paper uses a quantita...

This paper presents two classifications of errors in Czech texts. As a basic resource we use the corpus (Chyby – Errors) which has been continuously developed from 1999–2000 ([1]). The corpus text contains various kinds of errors such as spelling, typographical, grammatical, semantic, lexical, and stylistic ones. They have been corrected manually and annotated according to the classification of...