Merging Data Resources for Inflectional and Derivational Morphology in Czech

no code implementations • LREC 2016 • Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Magda {\v{S}}ev{\v{c}}{\'\i}kov{\'a}, Milan Straka, Jon{\'a}{\v{s}} Vidra, Ad{\'e}la Limbursk{\'a}

The paper deals with merging two complementary resources of morphological data previously existing for Czech, namely the inflectional dictionary MorfFlex CZ and the recently developed lexical network DeriNet.

Lemmatization Morphological Analysis

Derivational Morphological Relations in Word Embeddings

no code implementations • WS 2019 • Tom{\'a}{\v{s}} Musil, Jon{\'a}{\v{s}} Vidra, David Mare{\v{c}}ek

Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting affixes.

Clustering Word Embeddings

DeriNet 2.0: Towards an All-in-One Word-Formation Resource

no code implementations • WS 2019 • Jon{\'a}{\v{s}} Vidra, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Magda {\v{S}}ev{\v{c}}{\'\i}kov{\'a}, Luk{\'a}{\v{s}} Kyj{\'a}nek

Supervised Morphological Segmentation Using Rich Annotated Lexicon

no code implementations • RANLP 2019 • Ebrahim Ansari, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Mohammad Mahmoudi, Hamid Haghdoost, Jon{\'a}{\v{s}} Vidra

In the experimental phase, using the hand-annotated Persian lexicon and two smaller similar lexicons for Czech and Finnish languages, we evaluated the effect of the training data size, different hyper-parameters settings as well as different RNN-based models.

Segmentation

Universal Derivations Kickoff: A Collection of Harmonized Derivational Resources for Eleven Languages

no code implementations • WS 2019 • Luk{\'a}{\v{s}} Kyj{\'a}nek, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Magda {\v{S}}ev{\v{c}}{\'\i}kov{\'a}, Jon{\'a}{\v{s}} Vidra