Surinder singh kairon7/31/2023 ![]() ![]() Please note that Related Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source code that was used to bring you this list of term themed words: Concept Net, WordNet, and is still lots of work to be done to get this to give consistently good results, but I think it's at the stage where it could be useful to people, which is why I released it. Punjab not only bore the brunt of Partition, but the states economy was also left in ruins. You will probably get some weird results every now and then - that's just the nature of the engine in its current state. This is the story of a man who was regarded as the most powerful chief minister of the fifties. related words - rather than just direct synonyms.Īs well as finding words related to other words, you can enter phrases and it should give you related words and phrases, so long as the phrase/sentence you entered isn't too long. These algorithms, and several more, are what allows Related Words to give you. He was a member of Punjab Vidhan Sabha before being elected to the Lok Sabha. He was son of ex-chief minister of Punjab, Partap Singh Kairon. The total paid up capital of all companies where GURINDER SINGH. He was a member of Indian National Congress and represented Taran Taran in 10th Lok Sabha. This is the story of a man who was regarded as the most powerful chief minister of the fifties. He was a member of Indian National Congress and represented Taran Taran in 10th Lok Sabha. GURINDER SINGH KAIRON bearing DIN: 01709975 is holding active directorship in 0 Company. Surinder Singh Kairon (8 December 1927 16 March 2009) was an Indian politician from Punjab. Another algorithm crawls through Concept Net to find words which have some meaningful relationship with your query. Surinder Singh Kairon (8 December 1927 16 March 2009) was an Indian politician from Punjab. The vectors of the words in your query are compared to a huge database of of pre-computed vectors to find similar words. One such algorithm uses word embedding to convert words into many dimensional vectors which represent their meanings. Related Words runs on several different algorithms which compete to get their results higher in the list. ![]()
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