An inquiry into the semantic transparency and productivity of German particle verbs and derivational affixation

IV Stupak, RH Baayen - The Mental Lexicon, 2022 - jbe-platform.com
This study addresses the relation between morphological productivity and semantic
transparency. Using distributional semantics, we compare German word formation using …

Distributional measures of semantic abstraction

S Schulte im Walde, D Frassinelli - Frontiers in artificial intelligence, 2022 - frontiersin.org
This article provides an in-depth study of distributional measures for distinguishing between
degrees of semantic abstraction. Abstraction is considered a “central construct in cognitive …

Assessing meaning components in German complex verbs: A collection of source-target domains and directionality

SS im Walde, M Köper… - Proceedings of the seventh …, 2018 - aclanthology.org
This paper presents a collection to assess meaning components in German complex verbs,
which frequently undergo meaning shifts. We use a novel strategy to obtain source and …

[PDF][PDF] Modeling derivational morphology in Ukrainian

M Melymuka, G Lapesa, M Kisselew… - Proceedings of the 12th …, 2017 - aclanthology.org
We report on a study applying compositional distributional semantic models (CDSMs) to a
set of Ukrainian derivational patterns. Ukrainian is an interesting language as it is …

Computational phraseology discovery in corpora with the MWETOOLKIT

C Ramisch - Computational phraseology, 2020 - degruyter.com
Computer tools can help discovering new phraseological units in corpora, thanks to their
ability to quickly draw statistics from large amounts of textual data. While the research …

[PDF][PDF] Computational approaches for German particle verbs: compositionality, sense discrimination and non-literal language

M Köper - 2018 - scholar.archive.org
Anfangen (to start) is a German particle verb. Consisting of two parts, a base verb (“fangen”)
and particle (“an”), with potentially many or no intervening words in a sentence, particle …

Gathering Natural Language Processing Data Using Experts

D Peskov - 2021 - search.proquest.com
Natural language processing needs substantial data to make robust predictions. Automatic
methods, unspecialized crowds, and domain experts can be used to collect conversational …

[PDF][PDF] TextImager-VSD

AW Hemati, A Mehler - academia.edu
2. Abstract Durch das World Wide Web steigt die Zahl der frei zugänglichen Textdaten, was
zu einem zunehmenden Interesse an der Forschung im Bereich der Computerlinguistik (CL) …

TextImager-VSD: large scale verb sense disambiguation and named entity recognition in the context of TextImager

W Hemati - 2019 - publikationen.ub.uni-frankfurt.de
The World Wide Web is increasing the number of freely accessible textual data, which has
led to an increasing interest in research in the field of computational linguistics (CL). This …