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A further enhancement of the normapi algorithm applied in Filipino text message mobile application / Nina Katrina P. Galamay, and Maria Angelica S. Villanueva. 6

By: Galamay, Nina Katrina P. and Villanueva, Maria Angelica S. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 201846Edition: Description: 28 cm. 202 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: ABSTRACT: Testing has developed rapidly throughout the world and became an integral part of our lives. Philippines was known to be one of the overpowered countries by texting. As its popularity became wide, different ways of text messaging have also been formed. Natural Language Processing is said to be a field that covers computer understanding and manipulation of human language. Data gathered in this processing comes from a variety of resources such as social media, which may consists of shortcuts that hinder existing tools from working properly. Thus, Gems Cuevas, Jedd Gopez, Nisco Nocon and Peter Suministrado of De La Salle University conducted a research in 2014 which aimed to normalize Filipino shortcut text messages using dictionary substitution approach and is named NormAPI is an algorithm with different techniques combined to transform shortcut in its original form. In 2016, Ainsley Kaye A. Niroma and Mary Angeli D. Valmonte, Computer Science students from Pamantasan ng Lungsod ng Maynila, have done a research which aims to improve the :NormAPI: An API for Normalizing Filipino Shortcut texts. Upon looking at the past studies, the proponents gave interest on the topic which lead to the further enhancement of NormAPI algorithm. The further enhanced research does not only normalize shortcut text but also Japanese, Jejemon's speech. Also, this further enhancement did the prediction of user's word input and added a functionality which made the dictionary updated. With these enhancements, the proponents widened the capability of the algorithm. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T QA76.G35.2018 (Browse shelf)	Available		FT6474

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Thesis: (BSCS major in Computer Studies)- Pamantasan ng Lungsod ng Maynila, 2018. 56

ABSTRACT: Testing has developed rapidly throughout the world and became an integral part of our lives. Philippines was known to be one of the overpowered countries by texting. As its popularity became wide, different ways of text messaging have also been formed. Natural Language Processing is said to be a field that covers computer understanding and manipulation of human language. Data gathered in this processing comes from a variety of resources such as social media, which may consists of shortcuts that hinder existing tools from working properly. Thus, Gems Cuevas, Jedd Gopez, Nisco Nocon and Peter Suministrado of De La Salle University conducted a research in 2014 which aimed to normalize Filipino shortcut text messages using dictionary substitution approach and is named NormAPI is an algorithm with different techniques combined to transform shortcut in its original form. In 2016, Ainsley Kaye A. Niroma and Mary Angeli D. Valmonte, Computer Science students from Pamantasan ng Lungsod ng Maynila, have done a research which aims to improve the :NormAPI: An API for Normalizing Filipino Shortcut texts. Upon looking at the past studies, the proponents gave interest on the topic which lead to the further enhancement of NormAPI algorithm. The further enhanced research does not only normalize shortcut text but also Japanese, Jejemon's speech. Also, this further enhancement did the prediction of user's word input and added a functionality which made the dictionary updated. With these enhancements, the proponents widened the capability of the algorithm.

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