{"id":731401,"date":"2021-03-07T06:58:22","date_gmt":"2021-03-07T14:58:22","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=731401"},"modified":"2021-03-07T11:04:34","modified_gmt":"2021-03-07T19:04:34","slug":"understanding-script-mixing-a-case-study-of-hindi-english-bilingual-twitter-users","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/understanding-script-mixing-a-case-study-of-hindi-english-bilingual-twitter-users\/","title":{"rendered":"Understanding Script-Mixing: A Case Study of Hindi-English Bilingual Twitter Users"},"content":{"rendered":"

In a multi-lingual and multi-script society such as India, many users resort to code-mixing while typing on social media. While code-mixing has received a lot of attention in the past few years, it has mostly been studied within a single-script scenario. In this work, we present a case study of Hindi-English bilingual Twitter users while considering the nuances that come with the intermixing of different scripts. We present a concise analysis of how scripts and languages interact in communities and cultures where code-mixing is rampant and offer certain insights into the findings. Our analysis shows that both intra-sentential and inter-sentential script-mixing are present on Twitter and show different behavior in different contexts. Examples suggest that script can be employed as a tool for emphasizing certain phrases within a sentence or disambiguating the meaning of a word. Script choice can also be an indicator of whether a word is borrowed or not. We present our analysis along with examples that bring out the nuances of the different cases.<\/p>\n","protected":false},"excerpt":{"rendered":"

In a multi-lingual and multi-script society such as India, many users resort to code-mixing while typing on social media. While code-mixing has received a lot of attention in the past few years, it has mostly been studied within a single-script scenario. In this work, we present a case study of Hindi-English bilingual Twitter users while 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