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- Adesam, Yvonne, 1975, et al.
(författare)
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Part-of-speech tagging of Swedish texts in the neural era
- 2021
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Ingår i: Proceedings of the 23rd Nordic Conference on Computational Linguistics, NoDaLiDa, May 31–2 June, 2021, Reykjavik, Iceland (online) / eds Simon Dobnik and Lilja Øvrelid. - Linköping : Linköping University Electronic Press. - 1650-3686 .- 1650-3740. - 9789179296148
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Konferensbidrag (refereegranskat)
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| 4. |
- Basirat, Ali, Postdoctoral Researcher, 1982-, et al.
(författare)
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An empirical study on the contribution of formal and semantic features to the grammatical gender of nouns
- 2021
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Ingår i: Linguistics Vanguard. - : Walter de Gruyter. - 2199-174X. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- This study conducts an experimental evaluation of two hypotheses about the contributions of formal and semantic features to the grammatical gender assignment of nouns. One of the hypotheses (Corbett and Fraser, 2000) claims that semantic features dominate formal ones. The other hypothesis, formulated within the optimal gender assignment theory (Rice, 2006), states that form and semantics contribute equally. Both hypotheses claim that the combination of formal and semantic features yields the most accurate gender identification. In this paper, we operationalize and test these hypotheses by trying to predict grammatical gender using only character-based embeddings (that capture only formal features), only context-based embeddings (that capture only semantic features) and the combination of both. We performed the experiment using data from three languages with different gender systems (French, German and Russian). Formal features are a significantly better predictor of gender than semantic ones, and the difference in prediction accuracy is very large. Overall, formal features are also significantly better than the combination of form and semantics, but the difference is very small and the results for this comparison are not entirely consistent across languages.
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| 5. |
- Berdicevskis, Aleksandrs, 1983, et al.
(författare)
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A Diachronic Treebank of Russian Spanning More Than a Thousand Years
- 2020
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Ingår i: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 11-16, 2020, Marseille, France / ed. Nicoletta Calzolari (Conference chair).. - Paris : European Language Resources Association. - 9791095546344
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Konferensbidrag (refereegranskat)
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| 6. |
- Berdicevskis, Aleksandrs, 1983, et al.
(författare)
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Corpus evidence for word order freezing in Russian and German
- 2020
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Ingår i: Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), December 13, 2020, Barcelona, Spain (Online) / Marie-Catherine de Marneffe, Miryam de Lhoneux, Joakim Nivre, Sebastian Schuster (Editors). Pp. 26-33. - : Association for Computational Linguistics. - 9781952148484
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Konferensbidrag (refereegranskat)
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| 9. |
- Berdicevskis, Aleksandrs, 1983, et al.
(författare)
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Imperfect language learning reduces morphological overspecification: Experimental evidence
- 2022
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 17:1, s. 1-26
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Tidskriftsartikel (refereegranskat)abstract
- It is often claimed that languages with more non-native speakers tend to become morphologically simpler, presumably because non-native speakers learn the language imperfectly. A growing number of studies support this claim, but there is a dearth of experiments that evaluate it and the suggested explanatory mechanisms. We performed a large-scale experiment which directly tested whether imperfect language learning simplifies linguistic structure and whether this effect is amplified by iterated learning. Members of 45 transmission chains, each consisting of 10 one-person generations, learned artificial mini-languages and transmitted them to the next generation. Manipulating the learning time showed that when transmission chains contained generations of imperfect learners, the decrease in morphological complexity was more pronounced than when the chains did not contain imperfect learners. The decrease was partial (complexity did not get fully eliminated) and gradual (caused by the accumulation of small simplifying changes). Simplification primarily affected double agent-marking, which is more redundant, arguably more difficult to learn and less salient than other features. The results were not affected by the number of the imperfect-learner generations in the transmission chains. Thus, we provide strong experimental evidence in support of the hypothesis that iterated imperfect learning leads to language simplification.
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