Izaskun Etxeberria

Porting Basque morphological grammars to foma, an open-source tool

Basque is a morphologically rich language, of which several finite-state morphological descriptions have been constructed, primarily using the Xerox/PARC finite-state tools. In this paper we describe the process of porting a previous description of Basque morphology to foma, an open-source finite-state toolkit compatible with Xerox tools, provide a comparison of the two tools, and contrast the development of a twolevel grammar with parallel alternation rules and a sequential grammar developed by composing individual replacement rules.

Combining Phonology and Morphology for the Normalization of Historical Texts

This paper presents a proposal for the normalization of word-forms in historical texts. To perform this task, we extend our previous research on induction of phonology and adapt it to the task of normalization. In particular, we combine our earlier models with models for learning morphology (without additional supervision). The results are mixed: induction of the segmentation of morphemes fails to directly offer significant improvements while including known morpheme boundaries in standard texts do improve results.

EHU at the SIGMORPHON 2016 Shared Task. A Simple Proposal: Grapheme-to-Phoneme for Inflection

This paper presents a proposal for learning morphological inflections by a graphemeto-phoneme learning model. No special processing is used for specific languages. The starting point has been our previous research on induction of phonology and morphology for normalization of historical texts. The results show that a very simple method can indeed improve upon some baselines, but does not reach the accuracies of the best systems in the task.