Ghazal is a very popular poetic form of Punjabi poetry. Every verse of a Ghazal follows the same rhythmical pattern. Punjabi Ghazal is written in Hindi meter and Arud meter. In this research, we deal with Arud meter. Arud is the science of versification being followed in Arabic, Turkish, Persian, Urdu, Hindi and Punjabi as well as some other languages of South Asia. It is a complex set of rules and has a steep learning curve for a novice. In this work, we devised an algorithm to detect the Arud meter in the Punjabi verse and developed a web-based application as well. This web application will not only facilitate the professional poets but also help the students to analyse the poetry in the context of prosody rules. Computing prosody of any poetry depends on recitation instead of written transcription. In the first phase of orthography, we analyse the text phonetically and phonologically to transform it according to the recitation by adding (as in gemination), removing (as in weightless nasalization and aspiration), modifying (as in tonal sounds) and grafting (to assimilate the sounds of neighbouring words) the letters. In the second phase of verse scansion, the verse is passed through a pipeline process of syllabification and step by step weight assignments, figuring out short, flexible and long syllables, ending up in one or more rhythmical patterns. All of these rhythmical patterns are compared one by one to standard and most famous 37 Arud meters. The Cartesian product type matching between verse patterns and Arud meters is solved using nested iterations, regular expressions and finite state automata. The meter that matches with verse pattern is declared as the Arud meter of the verse. This automatic process is more efficient than the manual process and yields satisfactory results.

加扎尔语是旁遮普诗歌的一种非常流行的诗意形式。加扎尔语的每节经文都遵循相同的节奏模式。旁遮普语Ghazal用印地语米和阿鲁德米计。在这项研究中，我们处理Arud仪表。阿鲁德（Arud）是阿拉伯语，土耳其语，波斯语，乌尔都语，印地语和旁遮普语以及南亚其他一些语言所遵循的多样化科学。这是一组复杂的规则，对于新手来说学习曲线很陡。在这项工作中，我们设计了一种算法来检测旁遮普诗中的阿鲁德表，并开发了基于Web的应用程序。该网络应用程序不仅可以帮助专业诗人，而且可以帮助学生在韵律规则的背景下分析诗歌。计算任何诗歌的韵律都取决于背诵而不是书面抄写。在拼字法的第一阶段，我们对语音进行语音和语音分析，以根据背诵，通过添加（如在发芽中），删除（如在失重的鼻腔化和抽吸中），修改（如在音调中）和嫁接（以吸收相邻单词的发音）来根据朗读进行转换这些信。在诗句扫描的第二阶段中，使诗句经过音节化的流水线过程，并​​逐步分配权重，找出短，灵活和长的音节，最后以一种或多种节奏模式结束。所有这些节奏模式都与标准和最著名的37 Arud米一一比较。通过嵌套迭代，正则表达式和有限状态自动机，可以解决诗歌模式与阿鲁德计量表之间的笛卡尔乘积类型匹配问题。与诗句样式匹配的量表被声明为该诗的阿鲁德量表。这种自动过程比手动过程更有效，并且可以得到令人满意的结果。