A Language-Independent Approach to Extracting Derivational Relations from an Inflectional Lexicon

International audience In this paper, we describe and evaluate an unsupervised method for cquiring pairs of lexical entries belonging to the same morphological family, i.e., derivationally related words, starting from a purely inflectional lexicon. Our approach relies on transformation rules that re...

Full description

Bibliographic Details
Main Authors: Baranes, Marion, Sagot, Benoît
Other Authors: Analyse Linguistique Profonde à Grande Echelle, Large-scale deep linguistic processing (ALPAGE), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7), Viavoo Boulogne Billancourt
Format: Conference Object
Language:English
Published: HAL CCSD 2014
Subjects:
Formal Analogy
Morphological Analysis
Derivational Relation
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
Iceland
Online Access:https://hal.inria.fr/hal-01002723
https://hal.inria.fr/hal-01002723/document
https://hal.inria.fr/hal-01002723/file/lrec14_famillemorpho.pdf
Description
Summary:International audience In this paper, we describe and evaluate an unsupervised method for cquiring pairs of lexical entries belonging to the same morphological family, i.e., derivationally related words, starting from a purely inflectional lexicon. Our approach relies on transformation rules that relate lexical entries with the one another, and which are automatically extracted from the inflected lexicon based on surface form analogies and on part-of-speech information. It is generic enough to be applied to any language with a mainly concatenative derivational morphology. Results were obtained and evaluated on English, French, German and Spanish. Precision results are satisfying, and our French results favorably compare with another resource, although its construction relied on manually developed lexicographic information whereas our approach only requires an inflectional lexicon.

Similar Items