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Hits 1 – 20 of 57

1	Multi-source morphosyntactic tagging for Spoken Rusyn
	Scherrer, Yves; Rabus, Achim
	In: Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (2017)
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2	A Quantitative Approach to Swiss German Dialect Syntax
	Scherrer, Yves; Stoeckle, Philipp
	In: International Conference on Language Variation in Europe (ICLAVE 9) (2017) (2017)
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3	Lexicon Induction for Spoken Rusyn – Challenges and Results
	Rabus, Achim; Scherrer, Yves
	In: Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing (2017)
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4	Findings of the VarDial Evaluation Campaign 2017
	Zampieri, Marcos; Malmasi, Shervin; Ljubešić, Nikola...
	In: Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (2017)
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5	Towards automatic geolocalisation of speakers of European French
	Scherrer, Yves; Goldman, Jean-Philippe
	In: International Conference on Language Variation in Europe (ICLAVE 9) (2017) (2017)
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6	Combien d'accents en français? Focus sur la France, la Belgique et la Suisse
	Boula de Mareüil, Philippe; Scherrer, Yves; Goldman, Jean-Philippe
	In: Processus de différenciation: des pratiques langagières à leur interprétation sociale - Actes du colloque VALS-ASLA 2016, Vol. 1 (2017)
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7	Schweizerdeutsche Dialekte quantitativ – Dialektometrische Analysen und Vergleich linguistischer Ebenen
	Scherrer, Yves; Stoeckle, Philipp
	In: 13. Bayerisch-Österreichische Dialektologentagung (BÖDT) (2016) (2016)
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8	Modernising historical Slovene words
	Scherrer, Yves; Erjavec, Tomaž
	In: ISSN: 1351-3249 ; Natural Language Engineering, Vol. 22, No 6 (2016) pp. 881-905 (2016)
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9	Normalizing orthographic and dialectal variants in the ArchiMob corpus of spoken Swiss German
	Scherrer, Yves; Samardžić, Tanja; Glaser, Elvira
	In: 6th Days of Swiss Linguistics (2016) (2016)
	Abstract: To study and automatically process Swiss German, it is necessary to resolve the issue of variation in the written representation of words. Due to the lack of written tradition and to the considerable regional variation, Swiss German writing is highly inconsistent, making it hard to establish identity between lexical items that are felt like “the same word”. This poses a problem for any task that requires establishing lexical identities, such as efficient corpus querying for linguistic research, semantic processing, and information retrieval. In the context of building the general-purpose electronic corpus ArchiMob, we have chosen to create an additional annotation layer that maps the original word forms to unified normalised representations. In this paper, we argue that these normalised representations can be induced in a semi-automatic fashion using techniques from machine translation. A lexical unit can be pronounced, and therefore transcribed, in various ways, due to dialectal variation, intra-speaker variation, code-switching or occasional transcription errors. In order to establish lexical identities between the items felt like “the same word”, the transcribed texts need to be normalised. We propose an approach to automatic normalisation that casts the task as simplified machine translation from inconsistently written texts to a unified representation. The resulting normalisation is treated as word-level annotation which is internally used for executing search queries, but is not intended to be presented to human users. Normalisation is carried out manually on a set of six documents, which serve as training and development data. An important feature of the particular normalised representation implemented in our work is that it diverges from both standard German and Swiss German. Many Swiss German lexical items do not have any etymologically related standard counterparts. We chose to normalise them using a convenient, etymologically motivated common construction. Thus, öpper is normalised as etwer, töff as töff, and gheie as geheien. Standard German conventions regarding word boundaries are often not applicable to Swiss German, where articles and pronouns tend to be cliticised. In these cases, we decided to keep the standard word boundaries whenever this was possible. Thus, hettemers is normalised as hätten wir es, bimene as bei einem. The six manually normalised documents are used as training data to automatically predict normalisation candidates for the following documents. The automatic processing is intended to speed up annotating our corpus, but also to replace manual annotation of new data that is not part of the corpus. Developing an automatic approach, however, is not trivial because the mappings between the transcriptions and their corresponding normalisations need to be learned on a small and extremely sparse data set. We need to be able to fit the training data, but also learn to generalise beyond the cases seen in the training set. The core of our approach is to distinguish four classes of words based on the distribution of their normalisations in the training data, and to apply an appropriate normalisation technique to each class. The words associated with only one or one predominant normalization are best treated using word-to-word translation. To address the words associated with multiple normalisations none of which is predominant, we train a trigram language model. Finally, to address new words that have not been seen at all in the training data, we train a full character-based statistical machine translation system (Vilar et al. 2007, Tiedemann 2009). We show that the combination of the methods gives better results than any of them individually, allowing us to obtain a relatively good automatic normalisation of a wide range of variants in Swiss German using a small training set.
	Keyword: info:eu-repo/classification/ddc/410
	URL: https://archive-ouverte.unige.ch/unige:90850
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10	Automatic normalisation of the Swiss German ArchiMob corpus using character-level machine translation
	Scherrer, Yves; Ljubešić, Nikola
	In: Proceedings of the 13th Conference on Natural Language Processing (KONVENS) (2016)
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11	On-line Multilingual Linguistic Services
	Scherrer, Yves; Nerima, Luka; Wehrli, Eric
	In: ISBN: 978-4-87974-703-7 ; Proceedings of COLING 2016 System Demonstrations (2016)
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12	ArchiMob - A Corpus of Spoken Swiss German
	Samardzic, Tanja; Scherrer, Yves; Glaser, Elvira
	In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (2016)
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13	Normalising orthographic and dialectal variants for the automatic processing of Swiss German
	Samardzic, Tanja; Scherrer, Yves; Glaser, Elvira
	In: Proceedings of the 7th Language and Technology Conference (2015)
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14	Crowdsourced mapping of pronunciation variants in European French
	Boula de Mareüil, Philippe; Goldman, Jean-Philippe; Scherrer, Yves
	In: Proceedings of the 18th International Congress of Phonetic Science pp. 1-5 (2015)
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15	Dialektometrische Analyse von schweizerdeutschen Dialektdaten
	Scherrer, Yves; Kellerhals, Sandra
	In: 18. Arbeitstagung zur alemannischen Dialektologie (2014) (2014)
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16	Part-of-speech tagging for regional languages and dialects : A generic approach based on unsupervised learning
	Scherrer, Yves
	In: 8èmes Journées Suisses de la Linguistique (2014) (2014)
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17	A language-independent and fully unsupervised approach to lexicon induction and part-of-speech tagging for closely related languages
	Scherrer, Yves; Sagot, Benoît
	In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014) (2014)
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18	Unsupervised adaptation of supervised part-of-speech taggers for closely related languages
	Scherrer, Yves
	In: Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects (VarDial) pp. 30-38 (2014)
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19	The distribution of aggregated syntactic construction types compared with other linguistic levels - A dialectometrical analysis of Swiss German dialects
	Kellerhals, Sandra; Scherrer, Yves; Glaser, Elvira...
	In: Methods in Dialectology XV (2014) (2014)
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20	Computerlinguistische Experimente für die schweizerdeutsche Dialektlandschaft: Maschinelle Übersetzung und Dialektometrie
	Scherrer, Yves
	In: ISBN: 978-3-515-10343-5 ; Alemannische Dialektologie: Dialekte im Kontakt (Beiträge zur 17. Arbeitstagung für alemannische Dialektologie in Strassburg) pp. 261-278 (2014)
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