: A Multilingual Humor-aided Multiparty Dialogue Generation in multimodal conversational setting

Chauhan, Dushyant Singh; Singh, Gopendra Vikram; Ekbal, Asif; Bhattacharyya, Pushpak

doi:10.1016/j.knosys.2023.110840

Cited by 2 publications

(1 citation statement)

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“…This poses a significant challenge when users seek information in languages other than English. Herein lies the crucial role of CLIR systems -to bridge this language gap and facilitate the seamless retrieval of information regardless of the language in which it is stored (Chauhan et al, 2023;Lomonosov MSU, Moscow, Russia and Potemkin, 2019;Spasic, 2018).…”

Section: Cross Language Information Retrieval (Clir) and The Importan...mentioning

confidence: 99%

MarQO: A query optimizer in multilingual environment for information retrieval in Marathi language

Suhas D. Pachpande,

Parag U. Bhalchandra

2023

Int. J. Sci. Res. Arch.

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Information retrieval is a crucial component of modern information systems. A significant portion of the vast amount of information stored worldwide is in local languages. While most information retrieval systems are designed primarily for English, there is a growing need for these systems to work with data in languages other than English. Cross Language Information Retrieval (CLIR) systems play a pivotal role in enabling information retrieval across multiple languages. However, these systems often face challenges due to ambiguities in query translation, impacting retrieval accuracy. This paper introduces "MarQO," a query optimizer designed to address these challenges in the context of Marathi language. MarQO employs a multi-stage approach, including lexical processing, extraction of multi-word terms, synonym addition, phrasal translations, utilization of word co-occurrence statistics, and more. By disambiguating query keyword translations, MarQO significantly improves the accuracy of translations, thereby leading to more relevant document retrieval results.

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Section: Cross Language Information Retrieval (Clir) and The Importan...mentioning

confidence: 99%