Papers by Divya Tadimeti

3 papers
Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech (2025.emnlp-main)

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Challenge: Prior work has shown that a range of speaker and listener attributes affect or correlate with the prevalence of code-switching during conversation.
Approach: They analyze the names of entities and dialogue acts present in a Spanish-English spontaneous speech corpus and build a predictive model of CSW.
Outcome: The proposed model is the first to take a discourse-sensitive approach to understanding pragmatic and referential cues of bilingual speech.
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain (2022.lrec-1)

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Challenge: Existing automatic speech recognition systems for non-American accents have a much higher error rate than for general american accents.
Approach: They evaluate automatic speech recognition systems on agent-directed speech . they find that the performance is worse for non-American accents than for General American .
Outcome: The ASR systems perform worse for non-American accents than for General American accents . the results suggest that training on non-native English speakers is needed to narrow the performance gap.
Discovering Differences in the Representation of People using Contextualized Semantic Axes (2022.emnlp-main)

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Challenge: Past work has compared embeddings against “semantic axes” that represent two opposing concepts.
Approach: They extend this paradigm to BERT embeddings and construct contextualized axes that mitigate pitfall where antonyms have neighboring representations.
Outcome: The proposed axes can characterize differences among instances of the same word type on two people-centric datasets.

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