Verbal multi-word expressions in yiddish

Chaya Liebeskind, Yaakov HaCohen-Kerner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Verbal Multi-Word Expressions (VMWEs) are very common in many languages. They include among other types the following types: Verb-Particle Constructions (VPC) (e.g. get around), Light-Verb Constructions (LVC) (e.g. make a decision), and idioms (ID) (e.g. break a leg). In this paper, we present a new dataset for supervised learning of VMWEs written in Yiddish. The dataset was manually collected and annotated from a web resource. It contains a set of positive examples for VMWEs and a set of non-VMWEs examples. While the dataset can be used for training supervised algorithms, the positive examples can be used as seeds in unsupervised bootstrapping algorithms. Moreover, we analyze the lexical properties of VMWEs written in Yiddish by classifying them to six categories: VPC, LVC, ID, Inherently Pronominal Verb (IPronV), Inherently Prepositional Verb (IPrepV), and other (OTH). The analysis suggests some interesting features of VMWEs for exploration. This dataset is a first step towards automatic identification of VMWEs written in Yiddish, which is important for natural language understanding, generation and translation systems.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings
EditorsFarid Meziane, Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Metais
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319919461
StatePublished - 2018
Externally publishedYes
Event23rd International Conference on Natural Language and Information Systems, NLDB 2018 - Paris, France
Duration: 13 Jun 201815 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10859 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference23rd International Conference on Natural Language and Information Systems, NLDB 2018

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.


  • Multi-Word Expression (MWE)
  • Verbal Multi-Word Expression (VMWE)
  • Yiddish


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