Predicting the Growth of Morphological Families from Social and Linguistic Factors

Hofmann, Valentin; Pierrehumbert, Janet and Schütze, Hinrich (6. July 2020): Predicting the Growth of Morphological Families from Social and Linguistic Factors. , July 6 – 8, 2020, Seattle, USA

Abstract

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. We introduce the novel task of Morphological Family Expansion Predic- tion (MFEP) as predicting the increase in the size of a morphological family. We create a ten-year Reddit corpus as a benchmark for MFEP and evaluate a number of baselines on this benchmark. Our experiments demonstrate very good performance on MFEP.

• Item Type: Conference
• EU Funded Grant Agreement Number: 740516
• EU Projects: Horizon 2020 > ERC Grants > ERC Advanced Grant > ERC Grant 740516: NonSequeToR - Non-sequence models for tokenization replacement
• Research Centers: Center for Information and Language Processing (CIS)
• Subjects: 000 Computer science, information and general works > 000 Computer science, knowledge, and systems; 400 Language > 410 Linguistics
• Place of Publication: Stroudsburg, USA
• Language: English