We release a Python module containing several tools to build analogical grids from words
contained in a corpus. The module implements several previously presented algorithms …

Analogical proportions are statements of the form “A is to B as C is to D”. They support
analogical inference and provide a logical framework to address learning, transfer, and …

This contribution is a first attempt at solving morphological analogies through generation,
instead of relying on retrieval approaches. Our preliminary experiments show promising …

Analogical inference is a remarkable capability of human reasoning, and has been used to
solve hard reasoning tasks. Analogy based reasoning (AR) has gained increasing interest …

Analogical proportions are statements of the form “𝐴 is to 𝐵 as 𝐶 is to 𝐷”, which have been
extensively studied in morphology. Recent advances on learning models of analogy from …

Morphological generation is a task where given a lemma and a morphosyntactic description
of the target form, we are asked to generate the target form. Knowing that the syntactic and …

Analogical grids aim to capture the organization of the lexicon of a language. We conduct
experiments on analogical grids extracted in four different languages with different …

We perform a study on the universal morphological analysis task: given a word form,
generate the lemma (lemmatisation) and its corresponding morphosyntactic descriptions …

Morphological segmentation is useful for processing Mongolian. In this paper, we manually
build a morphological segmentation data set for Mongolian. We then present a character …

Analogical proportions are statements of the form" A is to B as C is to D". They constitute an
inference tool that provides a logical framework to address learning, transfer, and …