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  1. Better Search Algorithm, Custom Built For Tagalog: This Dictionary has been specially coded with enhanced search functionality tailored to the unique attributes of the Filipino / Tagalog language and its complex system of prefixes, suffixes and infixes.

  2. Better Search Algorithm, Custom Built For Tagalog: This Dictionary has been specially coded with enhanced search functionality tailored to the unique attributes of the Filipino / Tagalog language and its complex system of prefixes, suffixes and infixes.

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    • Sequential Search
    • Interval Search
    • Time Complexity Analysis
    • Conclusion

    In Sequential Search the program traverses the data provided one by one at every possible data available in the given set of data, i.e. it’ll traverse every element of the data even by knowing that it’s not the element we’re looking for. The most famous use case for this search is Linear Search.

    This searching algorithm is specially designed to search for a given element from the sorted data, it’s not efficient on data that is not sorted. These Search algorithms are much more efficient and faster than Sequential Search algorithms. The most famous use case for this type of algorithm is Binary Search.

    Time Complexity for Linear Search

    Best Case: The Best case for Linear Search can be only if the element is found at the first index- only. So if ever that array appeared then time complexity will be O(1) Average Case: The Average case for Linear Search to ever appear is if only the element to be searched for appears in the middle of the array. In that case, number of comparisons will be N/2 and the time complexity will be O(N)( The constant being ignored ). Worst Case: The Worst case for any Linear Search Algorithm can be if...

    Time Complexity for Binary Search

    The Best Case occurs when the target element is the middle element of the array. The number of comparisons, in this case, is 1. So, the time complexity is O(1). Best Case: Best Case for any of these algorithms is when the element is found in the middle of the array. The number of Comparision, in this case, is 1. So, the time complexity is O(1). Average Case: Average Case for any of this Algorithm is when the element is found somewhere in the middle. So, the time complexity is O(logN). Worst C...

    Time Complexity for Jump Search

    No. of comparisons made in any Jump Search Algorithm n/m times. Thus the time complexity for Jump Search is O(\\sqrt N).

    In this article, we discussed some of the best searching algorithms. We also did a time complexity analysis to search for in-depth code implementation. We recommend you to go through Binary Search as it’s the most important topic with the Interview in mind. We recommend you take up Python Courseif you want to learn all these algorithms in the easie...

  4. Jan 5, 2024 · This Tagalog-English dictionary is custom built with the Tagalog / Filipino language in mind, including an advanced affix analysis engine to give better search results than other Tagalog...

  5. The Tagalog stemming algorithm (TagSA) is a new approach in stemming words having a complex morphological structure, such as Tagalog words. It not only covers removal of prefixes, suffixes, infixes, and circumfixes, but reduplication and compounding as well.

  6. Feb 19, 2023 · Pull requests. Generates a Filipino dictionary with Tagalog, Cebuano, Hiligaynon, and Ilocano words by scraping data from pinoydictionary.com.

  7. Tag-SA, a Tagalog Stemming Algorithm, was developed for all forms of Tagalog words. It can be used specifically for morphological analysis to derive root words. In addition, it can also be applied to information retrieval (IR) to conflate different word forms to a common canonical form.

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