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Analysing the Methods of Dzongkha Word Segmentation
In both Chinese and Dzongkha languages, the greatest challenge is to identify the word boundaries because there are no word delimiters as it is in English and other Western languages.
Dhungyel Parshu Ram +1 more
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METHODS OF DETECTING AND RECOVERING AFTER HOMOGLYPH ATTACKS [PDF]
The problem of homoglyph attacks has become significant nowadays. Due to the increasing range of characters in modern encoding systems, similar symbols are being added.
Roman TOLSTOSHEYEV
doaj +1 more source
Evaluating Automatic Detection of Misspellings in German [PDF]
his study investigates the performance of a spell checker designed for native writers on misspellings made by second language (L2) learners. It addresses two research questions: 1) What is the correction rate of a generic spell checker for L2 ...
Anne Rimrott, Trude Heift
doaj
Enhanced Levenshtein Edit Distance Method functioning as a String-to-String Similarity Measure
Levenshtein is a Minimum Edit Distance method; it is usually used in spell checking applications for generating candidates. The method computes the number of the required edit operations to transform one string to another and it can recognize three types
Abbas Al-Bakry, Marwa Al-Rikaby
doaj +1 more source
A global diatom database – abundance, biovolume and biomass in the world ocean [PDF]
Phytoplankton identification and abundance data are now commonly feeding plankton distribution databases worldwide. This study is a first attempt to compile the largest possible body of data available from different databases as well as from individual ...
K. Leblanc +22 more
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Spelling-checking for highly inflective languages [PDF]
Spelling-checkers have become an integral part of most text processing software. From different reasons among which the speed of processing prevails they are usually based on dictionaries of word forms instead of words. This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languages such as ...
Jan Hajič, Janus Drozd
openaire +1 more source
Advanced Neural Model for Spanish Spell-Checking
Context: Correcting spelling errors in written content, particularly in Spanish texts, remains a critical challenge in natural language processing (NLP) due to the complexity of word structures and the inefficiency of existing methods when applied to ...
Eduard Gilberto Puerto Cuadros
doaj +1 more source
Context-sensitive Spelling Correction Using Google Web 1T 5-Gram Information
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
Alwani, Mohammad, Bassil, Youssef
core +2 more sources
Text segmentation for Chinese spell checking [PDF]
Chinese spell checking is different from its counterparts for Western languages because Chinese words in texts are not separated by spaces. Chinese spell checking in this article refers to how to identify the misuse of characters in text composition. In other words, it is error correction at the word level rather than at the character level.
Kin Hong Lee, Mau Kit Michael Ng, Qin Lu
openaire +1 more source
Query Expansion of Zero-Hit Subject Searches: Using a Thesaurus in Conjunction with NLP Techniques [PDF]
The focus of our study is zero-hit queries in keyword subject searches and the effort of increasing recall in these cases by reformulating and, then, expanding the initial queries using an external source of knowledge, namely a thesaurus.
A. Shiri +5 more
core +1 more source

