Search Results for author: Janet Pierrehumbert

Found 6 papers, 1 papers with code

Not wacky vs. definitely wacky: A study of scalar adverbs in pretrained language models

no code implementations25 May 2023 Isabelle Lorge, Janet Pierrehumbert

In such models, words that are similar in their topical associations but differ in their logical force tend to emerge as semantically close, creating well-known challenges for NLP applications that involve logical reasoning.

Logical Reasoning Word Embeddings

A Graph Auto-encoder Model of Derivational Morphology

no code implementations ACL 2020 Valentin Hofmann, Hinrich Sch{\"u}tze, Janet Pierrehumbert

The auto-encoder models MWF in English surprisingly well by combining syntactic and semantic information with associative information from the mental lexicon.

Predicting the Growth of Morphological Families from Social and Linguistic Factors

no code implementations ACL 2020 Valentin Hofmann, Janet Pierrehumbert, Hinrich Sch{\"u}tze

We present the first study that examines the evolution of morphological families, i. e., sets of morphologically related words such as {``}trump{''}, {``}antitrumpism{''}, and {``}detrumpify{''}, in social media.

On Hapax Legomena and Morphological Productivity

no code implementations WS 2018 Janet Pierrehumbert, Ramon Granell

Quantifying and predicting morphological productivity is a long-standing challenge in corpus linguistics and psycholinguistics.

Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages

no code implementations LREC 2014 Peter Baumann, Janet Pierrehumbert

In a case study of two such languages, Tagalog and Zulu, we show that an easily obtainable English wordlist can be deployed to seed a morphological analysis algorithm from a small training set of conversational transcripts.

Lemmatization Morphological Analysis

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