Analogies Between Short Sentences: A Semantico-Formal Approach

Yves Lepage*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The present article proposes a method to solve analogies between sentences by combining existing techniques to solve formal analogies between strings and semantic analogies between words. The method is applied on sentences from the Tatoeba corpus. Two datasets of more than five thousand semantico-formal analogies, in English and French, are released.

Original languageEnglish
Title of host publicationHuman Language Technology. Challenges for Computer Science and Linguistics - 9th Language and Technology Conference, LTC 2019, Revised Selected Papers
EditorsZygmunt Vetulani, Patrick Paroubek, Marek Kubis
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages17
ISBN (Print)9783031053276
Publication statusPublished - 2022
Event9th Language and Technology Conference, LTC 2019 - Poznań, Poland
Duration: 2019 May 172019 May 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13212 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Language and Technology Conference, LTC 2019

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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