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Juan Junco

dblp:425/8135 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 70% Speech recognition and synthesis · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › multilingual NLP
code-switching
0.912025
Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech · EMNLP 2025
Natural language and speech › Information extraction and text analysis
discourse analysis
0.912025
Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech · EMNLP 2025
Natural language and speech › Information extraction and text analysis › dialogue analysis
dialogue act
0.312025
Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech · EMNLP 2025

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.9predictive modeling · 0.9
YearPublicationVenuePosition
2025 Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech
abstract
Code-switching (CSW) is commonly observed among bilingual speakers, and is motivated by various paralinguistic, syntactic, and morphological aspects of conversation.We build on prior work by asking: how do discourse-level aspects of dialogue -i.e. the content and function of speech -influence patterns of CSW?To answer this, we analyze the named entities and dialogue acts present in a Spanish-English spontaneous speech corpus, and build a predictive model of CSW based on our statistical findings.We show that discourse content and function interact with patterns of CSW to varying degrees, with a stronger influence from function overall.Our work is the first to take a discourse-sensitive approach to understanding the pragmatic and referential cues of bilingual speech and has potential applications in improving the prediction, recognition, and synthesis of code-switched speech that is grounded in authentic aspects of multilingual discourse.
Debasmita Bhattacharya, Juan Junco, Divya Tadimeti, Julia Hirschberg
EMNLP2