Spelling Checker Algorithm Methods for Many Languages

Author(s):  
Novan Zukarnain ◽  
Bahtiar Saleh Abbas ◽  
Suparta Wayan ◽  
Agung Trisetyarso ◽  
Chul Ho Kang
Keyword(s):  
Author(s):  
Sandor Dembitz ◽  
Petar Knezevic ◽  
Mladen Sokele
Keyword(s):  

2005 ◽  
Vol 11 (1) ◽  
pp. 87-111 ◽  
Author(s):  
GRAEME HIRST ◽  
ALEXANDER BUDANITSKY

Spelling errors that happen to result in a real word in the lexicon cannot be detected by a conventional spelling checker. We present a method for detecting and correcting many such errors by identifying tokens that are semantically unrelated to their context and are spelling variations of words that would be related to the context. Relatedness to context is determined by a measure of semantic distance initially proposed by Jiang and Conrath (1997). We tested the method on an artificial corpus of errors; it achieved recall of 23–50% and precision of 18–25%.


2004 ◽  
Vol 17 (04) ◽  
pp. 239-252 ◽  
Author(s):  
HYUK-CHUL KWON ◽  
MI-YOUNG KANG ◽  
SUNG-JA CHOI
Keyword(s):  

Author(s):  
Amalia Todirascu ◽  
Marion Cargill

We present SimpleApprenant, a platform aiming to improve French L2 learners’ knowledge of Multi Word Expressions (MWEs). SimpleApprenant integrates an MWE database annotated with the Common European Framework of Reference for languages (CEFR) level and several Natural Language Processing (NLP) tools: a spelling checker, a parser, and a set of transformation rules. NLP tools and resources are used to build training and writing exercises to improve MWE knowledge and writing skills of French L2 learners. We present the user scenarios, the platform’s architecture, as well as the preliminary evaluation of its NLP tools.


1989 ◽  
Vol 35 ◽  
pp. 89-102
Author(s):  
J.J. Zuidema ◽  
J. Weber

Dutch verb spelling is a rather complicated system of rival orthographic pre-scriptions. The spelling of Dutch verbs not only depends on their pronuncia-tion, but also on syntax and semantics. Pupils are often incapable of learning the system, even after many hours of verb spelling instruction. Investigations lead to the insight that a rule-oriented algorithmic method is more effective than traditional methods. But pupils still make a lot of errors. In this study we investigate how computers can improve verb-spelling performance of pupils. A first way could be the use of a word processor with an built-in spelling checker. Spelling checkers find errors in typed text, but existing spelling checkers cannot correct Dutch verbs automatically. Artificially Intelligent spelling checkers will do (but will be expensive for instructional use). A second way of improving spelling performance is the use of tutorial programs. We discuss algorithm-based instructional programs that introduce and train the verb spelling system and its underlying concepts. As a third way to improve spelling performance we introduce the instructional program DT-DUIVELTJE (DT-DEMON). DT-DEMON can be characterized as a half-automatic spelling checker for Dutch verbs. In most cases it can find and correct verb spellings automatically. In the remaining cases DT-DEMON asks the user one or two questions, in order to complete the analysis. The core of the program is a simulation of a human expert in verb spelling. An expert is supposed to find correct orthographic prescriptions as a result of very economic decisions, i.e. based on an analysis of lower-order language regularities. For instance, when the spelling of a verb can be found by analyzing letter sequences, a syntactic analysis can be omitted. In this way an expert writes far more verbs correctly as a result of automatic pattern recognition. Although the internal inference mechanism of DT-DEMON is one of pat-tern recognition, the dialogue with the user is rule-oriented. The program also knows the rule-oriented algorithm for verb spelling. A final remark about the way DT-DEMON internally processes, concerns the number of analyses performed. The program does not just stop searching when it finds a solution, but continues until all solutions are found. The number of successful redundant analyses is an indication of the degree of difficulty of the spelling problem. A lot of solutions means: easy; just one solution means: a less simple problem; not even one complete, automatically found solution means: pay attention, this is a difficult problem. DT-DEMON is suitable for instructional purposes once a pupil has learned the rules that govern verb spelling. The program works like an online spelling checker. When there is a difficult spelling problem, and the program cannot find a complete solution itself, it will ask the student for help. By doing so, it prevents errors due to premature automatization of spelling skills. The use of DT-DEMON is not restricted to precooked exercises, it can handle free language productions.


2010 ◽  
Vol 10 (17) ◽  
pp. 1963-1967
Author(s):  
R.F. Alwan ◽  
O. Al-Hadithi
Keyword(s):  

Author(s):  
Rebecca Treiman

To be literate, people must be able to read and to write. There has been a large amount of research on the first aspect of literacy, reading. We now know a good deal about how adults read and about how children learn to read. We know much less about the second aspect of literacy, writing. One aspect of learning how to write is learning how to spell. How do children manage this, especially in a language like English that has so many irregular spellings? That is the topic of this book. In this book, I present a detailed study of the spellings produced by a group of American first-grade children. I ask what the children’s spellings reveal about their knowledge of language and about the development of spelling ability. In these days of computerized spelling checkers, is learning to spell correctly still necessary for being a good writer? I believe that it is. In her review of research on beginning reading, Marilyn Adams (1990, p. 3) states that “the ability to read words, quickly, accurately, and effortlessly, is critical to skillful reading comprehension— in the obvious ways and in a number of more subtle ones.” Similarly, the ability to spell words easily and accurately is an important pan of being a good writer. A person who must stop and puzzle over the spelling of each word, even if that person is aided by a computerized spelling checker, has little attention left to devote to other aspects of writing. Just as learning to read words is an important part of reading comprehension, so learning to spell words is an important part of writing. In the study reported in this book, I focus on a group of American first-grade children who were learning to read and write in English. These children, like an increasing number of children in America today, were encouraged to write on their own from the very beginning of the first-grade year. Their teacher did not stress correct spelling. Indeed, she did not tell the children how to spell a word even if they asked.


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