Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems becau...

This article discusses the use of a French computerized grammar checker as a learning and teaching resource. As is well known, foreign language grammar checkers can give unreliable, even farcical results, but that does not necessarily mean that they cannot be effectively used by foreign language teachers. After some discussion of the nature of foreign language grammar checkers, the article pres...

These are notes for a minicourse given at Regional Norte UdelaR in Salto, Uruguay for the conference “CIMPA Research School Hamiltonian and Langrangian Dynamics”. They are a preliminary version which have not had enough proof-reading, in particular there can be errors of any type (orthographical, typos, and mainly serious mistakes). Any comment is welcome. The purpose of the notes is to present...

This paper presents the 'techniques of correcting for spelling errors, orthographical errors, and grammatical errors in computer-based text. And this paper addresses an extension that goes beyond normal checking of isolated single word by taking multiwords as well as a sentence. The candidate words for spelling errors are created by applying function of rules and correction rule table that cont...

Most foreign names are transliterated into Chinese, Japanese or Korean with approximate phonetic equivalents. The transliteration is usually achieved through intermediate phonemic mapping. This paper presents a new framework that allows direct orthographical mapping (DOM) between two different languages, through a joint source-channel model, also called n-gram transliteration model (TM). With t...

In this work we present our expert system of speech synthesis based on a text written in Standard Arabic, our work is carried out in two great stages: the creation of the sound data base, and the transformation of the written text into speech (Text To Speech TTS). This transformation is done firstly by a Phonetic Orthographical Transcription (POT) of any written Standard Arabic text that to tra...

In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns (Artificial Neural Network, Support Vector Machine, C4.5 Decision Tree), their combinations and the effects of dimensionality reduction as well. We used a segment of Szeged Corpus [7] for training and validation purpo...

The role of Named entity (NE) extraction is very important in many NLP tasks, such as information extraction, etc. In Thai, the problems of NE extraction are much more difficult due to the characteristics of Thai language, that are lack of orthographical information to signal NEs, and no boundary indicator between words. In this paper, we present Thai NE extraction system by using Maximum Entro...

introduction: medication errors are among the most serious health errors threatening patient safety in all countries, with major impacts on public health. midwives as members of healthcare systems are prone to such errors. therefore, in this study, we aimed to determine medication errors and the contributing factors among midwives working in maternity units of mashhad university of medical scie...

This paper focuses on loanword phonology in the context of Spanish words that have become part English lexicon 20th century. The background section shows attention has been paid to used from a lexical point view, but scarcely regarding phonology. Furthermore, few existing studies do not deal depth with and as an example crosslinguistic contact. Therefore, this aims at contributing explanation p...