(0, \'0.707*"उत्तरपश्चिमी" + 0.707*"यूरोप" + -0.000"बुद्ध" + -0.000*"जन्म" + \' \'0.000*"बेल्जियम" +
Thanks for using SO.
The show_topics provides you the most significant topics from the corpus. The probabilities that you see are the contribution from each word towards the topic. For e.g. "उत्तरपश्चिमी" and "यूरोप" have contribution of 0.707 each while "बेल्जियम" has 0.000 contribution towards defining this topic.
When showing the contribution of word, the model displays the greatest absolute value but due to truncation of floating numbers that are close to 0( say -0.0000008),they are shown as -0.00.
References: https://radimrehurek.com/gensim/models/lsimodel.html