Papers by Sidsel Boldsen

2 papers
Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color (2022.acl-long)

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Challenge: Character-level information is included in many NLP models, but evaluating the information encoded in character embeddings is an open issue.
Approach: They propose to use shape, sound, and color embeddings to evaluate the information encoded in character representations in five languages to perform cross-lingual analysis.
Outcome: The proposed classifiers evaluate phonological information encoded in character embeddings and LSTM models.
Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings (2022.acl-long)

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Challenge: a great deal of work has been done on NLP approaches to lexical semantic change detection, but other aspects of language change have received less attention from the NLP community.
Approach: They propose to compare the relative distance through time between the distributions of the characters involved before and after a sound change has taken place.
Outcome: The proposed method can trace the well-known historical change of lenition of plosives in Danish historical sources and identify several of the changes under consideration and uncover meaningful contexts in which they appeared.

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