Permalink
Fetching contributors…
Cannot retrieve contributors at this time
56 lines (54 sloc) 13.5 KB

Publications in which LingPy was used

No. Publication Links
1 List, J.-M. (2018): More on Network Approaches in Historical Chinese Phonology (音韵学). In: LFK Society Young Scholars Symposium BibTex URL
2 Jäger, G. and J.-M. List (2018): Using ancestral state reconstruction methods for onomasiological reconstruction in multilingual word lists. Language Dynamics and Change 8.? ??-?? BibTex
3 Dumont-Le Brazidc, J. (2018): An Object-Oriented Data Analysis approach for text population. . KTH, Mathematical Statistics: . BibTex
4 Dekker, P. (2018): Reconstructing language ancestry by performing word prediction with neural networks. . University of Amsterdam: Amsterdam. BibTex
5 Collins, K. (2018): An interface and case studies for automatic cognate detection methods. . Department of Linguistics, Swarthmore College: Philadelphia. BibTex
6 Rama, T., Ç. Çöltekin, and P. Sofroniev (2017): Computational analysis of Gondi dialects. In: Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and DialectsAssociation of Computational Linguistics 26-35. BibTex
7 Prokić, J. (2017): Quantitative diachronic dialectology. In: Wieling, M., M. Kroon, G. Noord, and G. Bouma*From semantics to dialectometry. Festschrift in honor of John Nerbonne.*College Publications: Groningen. 293-301. BibTex
8 List, J.-M., S. Greenhill, and R. Gray (2017): The potential of automatic word comparison for historical linguistics. PLOS ONE 12.1. 1-18. BibTex URL
9 List, J.-M. (2017): Vertikale und laterale Aspekte der chinesischen Dialektgeschichte[Vertical and lateral aspects of Chinese dialect history]. Research Report. Max Planck Institute for the Science of Human History: Jena. BibTex URL
10 List, J.-M. (2017): Using network models to analyze Old Chinese rhyme data. Bulletin of Chinese Linguistics 9.2. 218-241. BibTex
11 Kassian, A. (2017): Linguistic homoplasy and phylogeny reconstruction. The cases of Lezgian and Tsezic languages (North Caucasus). Folia Linguistica Historica 38. 217-262. BibTex
12 Jäger, G., J.-M. List, and P. Sofroniev (2017): Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Long Papers 1204-1215. BibTex
13 Hill, N. and J.-M. List (2017): Challenges of annotation and analysis in computer-assisted language comparison: A case study on Burmish languages. Yearbook of the Poznań Linguistic Meeting 3.1. 47–76. BibTex URL
14 Dellert, J. (2017): Information-theoretical causal inference of lexical flow. PhD. Eberhard-Karls Universität: Tübingen. BibTex
15 Arnaud, A., D. Beck, and G. Kondrak (2017): Identifying cognate sets across dictionaries of related languages. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing 2509-2518. BibTex
16 Gampe, A., I. Kurthen, and M. Daum (2017): BILEX: A new tool measuring bilingual children’s lexicons and translational equivalents. First Language 0.0. 0142723717736450. BibTex
17 Willems, M., E. Lord, L. Laforest, G. Labelle, F.-J. Lapointe, A. Di Sciullo, and V. Makarenkov (2016): Using hybridization networks to retrace the evolution of Indo-European languages. BMC Evolutionary Biology 16.1. 1-18. BibTex
18 Wahle, J. (2016): An approach to cross-concept cognacy identification. In: Proceedings of the Leiden Workshop on Capturing Phylogenetic Algorithms for Linguistics BibTex
19 Rama, T. (2016): Siamese convolutional networks for cognate identification. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers 1018–1027. BibTex
20 Rama, T. (2016): Chinese Restaurant Process for cognate clustering: A threshold free approach. ArXiv e-prints BibTex
21 List, J.-M., J. Pathmanathan, P. Lopez, and E. Bapteste (2016): Unity and disunity in evolutionary sciences: process-based analogies open common research avenues for biology and linguistics. Biology Direct 11.39. 1-17. BibTex URL
22 List, J.-M., P. Lopez, and E. Bapteste (2016): Using sequence similarity networks to identify partial cognates in multilingual wordlists. In: *Proceedings of the Association of Computational Linguistics 2016 (Volume 2: Short Papers)*Association of Computational Linguistics 599-605. BibTex URL
23 List, J.-M. (2016): Beyond cognacy: Historical relations between words and their implication for phylogenetic reconstruction. Journal of Language Evolution 1.2. 119-136. BibTex URL
24 Lesage, J. (2016): Words, trees, and the dispersal of iron working in sub-Saharan Afric. Some explorations of a computational linguistic approach to tracing the spread of words for ‘iron’ across Africa. Master’s thesis. Radboud Universiteit: Nijmegen. BibTex
25 Jäger, G. and P. Sofroniev (2016): Automatic cognate classification with a Support Vector Machine. In: Proceedings of the 13th Conference on Natural Language Processing 128-133. BibTex
26 Jäger, G. and J.-M. List (2016): Investigating the potential of ancestral state reconstruction algorithms in historical linguistics. In: Proceedings of the Leiden Workshop on Capturing Phylogenetic Algorithms for Linguistics BibTex
27 da Silva Cardoso, H. and M. Wolska (2015): Misspellings in responses to listening comprehension questions: Prospects for scoring based on phonetic normalization. In: 4th workshop on NLP for Computer Assisted Language Learning 1-10. BibTex
28 Wahle, J. (2015): Automatic alignment using Pair Hidden Markov Models. In: Proceedings of the ESSLLI 2015 Student Session 238-248. BibTex
29 Roberts, S. (2015): Commentary: Large-scale psychological differences within China explained by rice vs. wheat agriculture. Frontiers in Psychology 6.950. 1-4. BibTex
30 List, J.-M. (2015): Network perspectives on Chinese dialect history. Bulletin of Chinese Linguistics 8. 42-67. BibTex URL
31 Kassian, A. (2015): Towards a formal genealogical classification of the Lezgian languages (North Caucasus): Testing various phylogenetic methods on lexical data. PLoS ONE 10.2. e0116950. BibTex
32 Jäger, G. and J.-M. List (2015): Factoring lexical and phonetic phylogenetic characters from word lists. In: Proceedings of the 6th Conference on Quantitative Investigations in Theoretical LinguisticsEberhard-Karls University BibTex URL
33 Chacon, T. and J.-M. List (2015): Improved computational models of sound change shed light on the history of the Tukanoan languages. Journal of Language Relationship 13.3. 177-204. BibTex URL
34 List, J.-M., S. Nelson-Sathi, W. Martin, and H. Geisler (2014): Using phylogenetic networks to model Chinese dialect history. Language Dynamics and Change 4.2. 222–252. BibTex
35 List, J.-M., S. Nelson-Sathi, H. Geisler, and W. Martin (2014): Networks of lexical borrowing and lateral gene transfer in language and genome evolution. Bioessays 36.2. 141-150. BibTex URL
36 List, J.-M. (2014): Sequence comparison in historical linguistics. Düsseldorf University Press: Düsseldorf. BibTex URL
37 List, J.-M. (2014): Investigating the impact of sample size on cognate detection. Journal of Language Relationship 11. 91-101. BibTex URL
38 List, J.-M. and J. Prokić (2014): A benchmark database of phonetic alignments in historical linguistics and dialectology.. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation 288-294. BibTex URL
39 Kassian, A. (2014): K formal’noj genealogičeskoj klassifikacii lezginskich jazykov (Severnyj Kavkaz)[On the formal genetic classification of Lezgian languages (North Caucasus)]. Journal of Language Relationship 11. 63-80. BibTex
40 Dekker, P. (2014): Determining Dutch dialect phylogeny using bayesian inference. Bachelor’s thesis. University of Utrecht: Utrecht. BibTex
41 Wahle, J. (2013): Alignment and word comparison with Pair Hidden Markov Models. Master’s thesis. Eberhard-Karls-Universität: Tübingen. BibTex
42 Moran, S. and J. Prokić (2013): Investigating the relatedness of the endangered Dogon languages. Literary and Linguistic Computing 28.4. 676-691. BibTex
43 List, J.-M. and S. Moran (2013): An open source toolkit for quantitative historical linguistics. In: Proceedings of the ACL 2013 System DemonstrationsAssociation for Computational Linguistics 13-18. BibTex
44 Gilman, S. (2013): Comparative method algorithm. Bachelor’s thesis. Yale University: New Haven. BibTex
45 Delz, M. (2013): A theoretical approach to automatic loanword detection. Master’s thesis. Eberhard-Karls-Universität: Tübingen. BibTex
46 Mayer, T. (2012): The induction of phonological structure. PhD thesis. Universität Konstanz: Konstanz. BibTex
47 List, J.-M. (2012): Multiple sequence alignment in historical linguistics**. A sound class based approach**. In: Proceedings of ConSOLE XIX 241-260. BibTex
48 List, J.-M. (2012): LexStat. Automatic detection of cognates in multilingual wordlists. In: Proceedings of the EACL 2012 Joint Workshop of Visualization of Linguistic Patterns and Uncovering Language History from Multilingual Resources 117-125. BibTex
49 List, J.-M. (2012): Improving phonetic alignment by handling secondary sequence structures. In: Computational approaches to the study of dialectal and typological variation. Working papers submitted for the workshop organized as part of the ESSLLI 2012 BibTex
50 Gilman, S. (2012): Comparative method algorithm. Cambridge Occasional Papers in Linguistics 6. 131-175. BibTex
51 Uneson, M. and R. Schachtenhaufen (2011): Exploring phonetic realization in Danish by transformation-based learning. Speech, Music and Hearing - Quarterly Progress and Status Report 51. 73-76. BibTex