Results 11 to 20 of about 1,609,509 (142)

Damerau Levenshtein Distance for Indonesian Spelling Correction [PDF]

Jurnal Informatika, 2019
Word correction used to find an incorrect word in writing. Levenshtein distance is one of algorithm to correcting typing error. It is an algorithm that calculates a difference between two strings.
Puji Santoso, Pundhi Yuliawati, Ridwan Shalahuddin, Aji Prasetya Wibawa   +3 more
doaj   +2 more sources

Damerau Levenshtain Distance dengan Metode Empiris untuk Koreksi Ejaan Bahasa Indonesia [PDF]

Ilkom Jurnal Ilmiah, 2020
Damerau Levenshtein Distance (DLD) adalah algoritma untuk koreksi kesalahan penulisan. Kesalahan terjadi karena penyisipan, penghapusan, pertukaran, dan penggantian alfabet dalam sebuah kata. Ini mungkin terjadi karena hilangnya spasi di antara dua kata.
Aji Prasetya Wibawa, Pundhi Yuliawati, Puji Santoso, Ridwan Shalahuddin, I Made Wirawan   +4 more
doaj   +2 more sources

Enhanced Levenshtein Edit Distance Method functioning as a String-to-String Similarity Measure [PDF]

Iraqi Journal for Computers and Informatics, 2016
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   +2 more sources

Misspelled-Word Reading Modulates Late Cortical Dynamics. [PDF]

Hum Brain Mapp
We used magnetoencephalography (MEG) to track the cortical activity as the participants read words with different degrees of misspelling that were perceived to range from real words to complete pseudowords, as confirmed by their behavioral responses. Our findings revealed that misspellings modulated late cortical activations in language‐related brain ...
You J, Saranpää A, Lindh-Knuutila T, van Vliet M, Salmelin R.   +4 more
europepmc   +2 more sources

Adapting Off-the-Shelf Speech Recognition Systems for Novel Words

Information, 2023
Current speech recognition systems with fixed vocabularies have difficulties recognizing Out-of-Vocabulary words (OOVs) such as proper nouns and new words. This leads to misunderstandings or even failures in dialog systems.
Wiam Fadel, Toumi Bouchentouf, Pierre-André Buvet, Omar Bourja   +3 more
doaj   +1 more source

Machine Learning-Based Text Processing Reveals Research Trends in Heterotopic Ossification. [PDF]

Anal Cell Pathol (Amst)
Background Heterotopic ossification (HO) represents a highly active research field in pathological bone formation. Despite substantial advancements, a comprehensive understanding of its underlying mechanisms and clinical trajectory remains incomplete. Materials and Methods A bibliometric and machine‐learning latent Dirichlet allocation (LDA) analysis ...
Sun Y, Zhu Q, Yu C, Wang C, Yan W, Jiang C.   +5 more
europepmc   +2 more sources

Penerapan Algoritma Damerau Levenshtein Distance Pada Pencarian Arsip Desa Jerukseger Pendukung ISO [PDF]

, 2023
Penelitian ini bertujuan untuk mengimplementasikan algoritma Damerau-Levenshtein Distance pada sistem informasi arsip dan surat menyurat di Desa Jerukseger.
Putra, Ricky Eka, Arsyta, Farra Wahyunanda   +1 more
core   +1 more source

Emergence of ATP‐ and GTP‐Binding Aptamers from Single RNA Sequences by Error‐Prone Replication and Selection**

ChemSystemsChem, Volume 5, Issue 5, September 2023., 2023
Function in RNA oligomers ‐ specifically low μM specific binding of purine (ATP and GTP) nucleotides ‐ can arise from single, non‐functional and partially homopolymeric (polyA) sequences of minimal structural and informational complexity by iterative cycles of mutation and selection.
Falk Wachowius, Benjamin T. Porebski, Christopher M. Johnson, Philipp Holliger   +3 more
wiley   +1 more source

Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices

Methods in Ecology and Evolution, Volume 14, Issue 1, Page 12-25, January 2023., 2023
Abstract The process of standardizing taxon names, taxonomic name harmonization, is necessary to properly merge data indexed by taxon names. The large variety of taxonomic databases and related tools are often not well described. It is often unclear which databases are actively maintained or what is the original source of taxonomic information.
Matthias Grenié, Emilio Berti, Juan Carvajal‐Quintero, Gala Mona Louise Dädlow, Alban Sagouis, Marten Winter   +5 more
wiley   +1 more source

The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials

Stat, Volume 11, Issue 1, December 2022., 2022
Abstract An app‐based clinical trial enrolment process can contribute to duplicated records, carrying data management implications. Our objective was to identify duplicated records in real time in the Apple Heart Study (AHS). We leveraged personal identifiable information (PII) to develop a dissimilarity score (DS) using the Damerau–Levenshtein ...
Ariadna Garcia, Justin Lee, Vidhya Balasubramanian, Rebecca Gardner, Santosh E. Gummidipundi, Grace Hung, Todd Ferris, Lauren Cheung, Sumbul Desai, Christopher B. Granger, Mellanie True Hills, Peter Kowey, Divya Nag, John S. Rumsfeld, Andrea M. Russo, Jeffrey W. Stein, Nisha Talati, David Tsay, Kenneth W. Mahaffey, Marco V. Perez, Mintu P. Turakhia, Haley Hedlin, Manisha Desai, on behalf of the Apple Heart Study Investigators   +23 more
wiley   +1 more source