SubmissionNumber#=%=#59
FinalPaperTitle#=%=#Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine Translation
ShortPaperTitle#=%=#
NumberOfPages#=%=#5
CopyrightSigned#=%=#Hidetsune Takahashi
JobTitle#==#
Organization#==#
Abstract#==#In this system paper for SemEval-2024 Task
10 subtask 1 (ERC), I present my approach to
recognizing emotions in Hindi-English codemixed conversations. I train a SpaCy model
with English translated data and classify emotions behind Hindi-English code-mixed utterances by using the model and translating them
into English. I use machine translation to translate all the data in Hindi-English mixed language into English due to an easy access to existing data for emotion recognition in English.
Some additional data in English are used to enhance my model. This English based approach
demonstrates a fundamental possibility and potential of simplifying code-mixed language into
one major language for emotion recognition.
Author{1}{Firstname}#=%=#Hidetsune
Author{1}{Lastname}#=%=#Takahashi
Author{1}{Username}#=%=#hidetsune
Author{1}{Email}#=%=#takahashi78h@toki.waseda.jp
Author{1}{Affiliation}#=%=#Waseda University

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