Challenge: voicing alternation phenomena of stops are a common problem in connected speech . phoneticians and phonologists are interested in analyzing phonetic variation .
Approach: They use forced alignment with pronunciation variants and machine learning techniques to examine voicing alternations of stops in Romance languages.
Outcome: The proposed method enables linguists to use large corpora and speech recognition systems . the results show that voicing alternations occur in all Romance languages .

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Challenge: morphological inflection models typically employ language-independent data splitting algorithms.
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Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech (2024.findings-emnlp)

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Challenge: Existing methods to synthesize speech for low-resource languages require a substantial amount of source language corpora to generate the linguistic knowledge that can be reused for speech synthesis.
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Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge (2025.emnlp-main)

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Challenge: Using large language models, we study their morphosyntactic competence and generalization capabilities.
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Opening the Romance Verbal Inflection Dataset 2.0: A CLDF lexicon (2020.lrec-1)

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Challenge: lexicon provides verbal paradigm forms in broad IPA phonemic notation for 74 varieties . most resources used to study language evolution computationally rely on multilingual contemporary information .
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Automatic Identification of Code-Switching Functions in Speech Transcripts (2023.findings-acl)

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Challenge: Code-switching, or switching between languages, occurs for many reasons and has important linguistic, sociological, and cultural implications.
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Speech Translation and the End-to-End Promise: Taking Stock of Where We Are (2020.acl-main)

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Challenge: Until recently, the only feasible approach to translating acoustic speech signals into text was the cascaded approach.
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Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction (2024.emnlp-main)

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Challenge: Existing methods for protoword reconstruction are limited to a few languages.
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Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies (2023.acl-long)

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Challenge: Using psycholinguistic and computational experiments, we compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences.
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Challenge: a large-scale study of human dubbing in practice is lacking in qualitative literature on human dubs . authors argue for vocal naturalness and translation quality over isometric constraints . a data-driven examination of the way humans perform this task is needed .
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Towards Comprehensive Language Analysis for Clinically Enriched Spontaneous Dialogue (2024.lrec-main)

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Challenge: Contemporary NLP has progressed from feature-based classification to fine-tuning and prompt-based techniques . many of these techniques remain understudied in the context of real-world, clinically enriched spontaneous dialogue.
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