. Measuring the compositionality of noun-noun compounds over time. In 1st International Workshop on Computational Approaches to Historical Language Change 2019, Florence, Italy, August 2019.

### Abstract

We present work in progress on the temporal progression of compositionality in noun-noun compounds. Previous work has proposed computational methods for determining the compositionality of compounds. These methods try to automatically determine how transparent the meaning of the compound as a whole is with respect to the meaning of its parts. We hypothesize that such a property might change over time. We use the time-stamped Google Books corpus for our diachronic investigations, and first examine whether the vector-based semantic spaces extracted from this corpus are able to predict compositionality ratings, despite their inherent limitations. We find that using temporal information helps predicting the ratings, although correlation with the ratings is lower than reported for other corpora. Finally, we show changes in compositionality over time for a selection of compounds.

### BibTeX

@inproceedings{ Dhar2019aa,
Title = { { Measuring the compositionality of noun-noun compounds over time } },
Address = { Florence, Italy },
Author = { Prajit Dhar and Janis Pagel and Lonneke van der Plas },
Booktitle = { 1st International Workshop on Computational Approaches to Historical Language Change 2019 },
Pages = { 234-239 },
Month = { August },
Year = { 2019 }
}

### RIS

TY -
TI - Measuring the compositionality of noun-noun compounds over time
AU - Prajit Dhar
AU - Janis Pagel
AU - Lonneke van der Plas
PY - 2019
CY - Florence, Italy
ID - Dhar2019aa
J2 - 1st International Workshop on Computational Approaches to Historical Language Change 2019
ER -