Experimental Analysis of Stemming on Jurisprudential Documents Retrieval
نویسندگان
چکیده
منابع مشابه
Experimental Analysis of Stemming on Jurisprudential Documents Retrieval
Stemming algorithms are commonly used during textual preprocessing phase in order to reduce data dimensionality. However, this reduction presents different efficacy levels depending on the domain that it is applied to. Thus, for instance, there are reports in the literature that show the effect of stemming when applied to dictionaries or textual bases of news. On the other hand, we have not fou...
متن کاملJurisprudential analysis of
One Islamic financial instrument that adds to the liquidity of futures contracts is the standard parallel contract. In recent years, these tools have been used in some Islamic countries and have recently been introduced to the Iranian capital market. This tool is first proposed in petroleum and petroleum products with the aim of financing oil projects and is known for its oil futures. The most ...
متن کاملStemming for Kurdish Information Retrieval
Resource scarcity along with diversity –in both dialect and script– are the two primary challenges in Kurdish language processing. In this paper we aim at addressing these two problems by building stemmers for the two main dialects of the Kurdish language (i.e. Sorani and Kurmanji) and investigate their effectiveness on Kurdish Information Retrieval. More specifically, we build Jedar, the first...
متن کاملSubword Retrieval on Biomedical Documents
Document retrieval in languages with a rich and complex morphology – particularly in terms of derivation and (single-word) composition – suffers from serious performance degradation with the stemming-only query-term-totext-word matching paradigm. We propose an alternative approach in which morphologically complex word forms are segmented into relevant subwords (such as stems, prefixes, suffixes...
متن کاملLight Stemming for Arabic Information Retrieval
Computational Morphology is an urgent problem for Arabic Natural Language Processing, because Arabic is a highly inflected language. We have found, however, that a full solution to this problem is not required for effective information retrieval. Light stemming allows remarkably good information retrieval without providing correct morphological analyses. We developed several light stemmers for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information
سال: 2018
ISSN: 2078-2489
DOI: 10.3390/info9020028