Noone can undermine the significance of dictionaries. In earlier days, people used different signs and symbols to convey their message. As time progresses, they developed different languages for communication purposes. Now, according to some reports, there are around 6,500 languages spoken all across the globe. Hamariweb online dictionary made it simple to search any word and its meaning. Just type the word in the search bar and you will get its meaning along with its synonyms, antonyms, origin, and pronunciation.
Are you a word Bee and looking for new words all the time? If so, you've come to the right page. We bring you a free online Urdu To English Dictionary with many new and difficult words and phrases that anyone can learn and improve. The online English to Urdu Dictionary provides a complete search for any word related to definition, pronunciation, spelling, thesaurus entries, and etymology results. The online dictionary can be browsed alphabetically or with terms related to the word to find the true meaning and synonyms of the word. There are online dictionaries in different languages such as French, Italian, Spanish, and German. Find multi-language dictionaries with English words meaning & translation definition, antonyms & synonyms at Hamariweb.com.
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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Abstract: Lemmatization aims at returning the root form of a word. The lemmatizer is envisioned as a vital instrument that can assist in many Natural Language Processing (NLP) tasks. These tasks include Information Retrieval, Word Sense Disambiguation, Machine Translation, Text Reuse, and Plagiarism Detection. Previous studies in the literature have focused on developing lemmatizers using rule-based approaches for English and other highly-resourced languages. However, there have been no thorough efforts for the development of a lemmatizer for most South Asian languages, specifically Urdu. Urdu is a morphologically rich language with many inflectional and derivational forms. This makes the development of an efficient Urdu lemmatizer a challenging task. A standardized lemmatizer would contribute towards establishing much-needed methodological resources for this low-resourced language, which are required to boost the performance of many Urdu NLP applications. This paper presents a lemmatization system for the Urdu language, based on a novel dictionary lookup approach. The contributions made through this research are the following: (1) the development of a large benchmark corpus for the Urdu language, (2) the exploration of the relationship between parts of speech tags and the lemmatizer, and (3) the development of standard approaches for an Urdu lemmatizer. Furthermore, we experimented with the impact of Part of Speech (PoS) on our proposed dictionary lookup approach. The empirical results showed that we achieved the best accuracy score of 76.44% through the proposed dictionary lookup approach. Keywords: NLP; Urdu language; lemmatizer; dictionary approach
As modernity often leads us away from these exquisite expressions, we embark on a journey to revive and celebrate the forgotten splendor of Urdu's chromatic lexicon. This article is a tribute to the timeless beauty of these words, aiming to preserve ...continue reading
Fueled by your unwavering passion for the language, our latest article presents a lexicon dedicated to peace and harmony, encapsulated in a concise yet comprehensive piece. Join us as we delve into the ocean of amn pasand zaban (peace-loving language ...continue reading
Are you passionate about the intricacies of Urdu vocabulary? Do you delight in the nuances of Urdu language? As a regular visitor of Rekhta, your profound passion and dedication to the Urdu language are undeniably commendable. Inspired by your deep f ...continue reading
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