Aleksandra Miletic


2020

pdf bib
Building a Universal Dependencies Treebank for Occitan
Aleksandra Miletic | Myriam Bras | Marianne Vergez-Couret | Louise Esher | Clamença Poujade | Jean Sibille
Proceedings of the 12th Language Resources and Evaluation Conference

This paper outlines the ongoing effort of creating the first treebank for Occitan, a low-ressourced regional language spoken mainly in the south of France. We briefly present the global context of the project and report on its current status. We adopt the Universal Dependencies framework for this project. Our methodology is based on two main principles. Firstly, in order to guarantee the annotation quality, we use the agile annotation approach. Secondly, we rely on pre-processing using existing tools (taggers and parsers) to facilitate the work of human annotators, mainly through a delexicalized cross-lingual parsing approach. We present the results available at this point (annotation guidelines and a sub-corpus annotated with PoS tags and lemmas) and give the timeline for the rest of the work.

pdf bib
A Four-Dialect Treebank for Occitan: Building Process and Parsing Experiments
Aleksandra Miletic | Myriam Bras | Marianne Vergez-Couret | Louise Esher | Clamença Poujade | Jean Sibille
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects

Occitan is a Romance language spoken mainly in the south of France. It has no official status in the country, it is not standardized and displays important diatopic variation resulting in a rich system of dialects. Recently, a first treebank for this language was created. However, this corpus is based exclusively on texts in the Lengadocian dialect. Our paper describes the work aimed at extending the existing corpus with content in three new dialects, namely Gascon, Provençau and Lemosin. We describe both the annotation of initial content in these new varieties of Occitan and experiments allowing us to identify the most efficient method for further enrichment of the corpus. We observe that parsing models trained on Occitan dialects achieve better results than a delexicalized model trained on other Romance languages despite the latter training corpus being much larger (20K vs 900K tokens). The results of the native Occitan models show an important impact of cross-dialectal lexical variation, whereas syntactic variation seems to affect the systems less. We hope that the resulting corpus, incorporating several Occitan varieties, will facilitate the training of robust NLP tools, capable of processing all kinds of Occitan texts.

2019

pdf bib
Building a treebank for Occitan: what use for Romance UD corpora?
Aleksandra Miletic | Myriam Bras | Louise Esher | Jean Sibille | Marianne Vergez-Couret
Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)

2017

pdf bib
Non-Projectivity in Serbian: Analysis of Formal and Linguistic Properties
Aleksandra Miletic | Assaf Urieli
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)

2016

pdf bib
Mise au point d’une méthode d’annotation morphosyntaxique fine du serbe (Developping a method for detailed morphosyntactic tagging of Serbian)
Aleksandra Miletic | Cécile Fabre | Dejan Stosic
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Posters)

Cet article présente une expérience d’annotation morphosyntaxique fine du volet serbe du corpus parallèle ParCoLab (corpus serbe-français-anglais). Elle a consisté à enrichir une annotation existante en parties du discours avec des traits morphosyntaxiques fins, afin de préparer une étape ultérieure de parsing. Nous avons comparé trois approches : 1) annotation manuelle ; 2) préannotation avec un étiqueteur entraîné sur le croate suivie d’une correction manuelle ; 3) réentraînement de l’outil sur un petit échantillon validé du corpus, suivi de l’annotation automatique et de la correction manuelle. Le modèle croate maintient une stabilité globale en passant au serbe, mais les différences entre les deux jeux d’étiquettes exigent des interventions manuelles importantes. Le modèle ré-entraîné sur un échantillon de taille limité (20K tokens) atteint la même exactitude que le modèle existant et le gain de temps observé montre que cette méthode optimise la phase de correction.

2014

pdf bib
TALC-sef A Manually-Revised POS-TAgged Literary Corpus in Serbian, English and French
Antonio Balvet | Dejan Stosic | Aleksandra Miletic
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper, we present a parallel literary corpus for Serbian, English and French, the TALC-sef corpus. The corpus includes a manually-revised pos-tagged reference Serbian corpus of over 150,000 words. The initial objective was to devise a reference parallel corpus in the three languages, both for literary and linguistic studies. The French and English sub-corpora had been pos-tagged from the onset, using TreeTagger (Schmid, 1994), but the corpus lacked, until now, a tagged version of the Serbian sub-corpus. Here, we present the original parallel literary corpus, then we address issues related to pos-tagging a large collection of Serbian text: from the conception of an appropriate tagset for Serbian, to the choice of an automatic pos-tagger adapted to the task, and then to some quantitative and qualitative results. We then move on to a discussion of perspectives in the near future for further annotations of the whole parallel corpus.