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Linguistic typology aims to capture structural and semantic variation across the world's languages.
Language
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Inferring universals from grammatical variation: Multidimensional scaling for typological analysis
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Automatically identifying computationally relevant typological features
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Unsupervised multilingual learning for morphological segmentation
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Cross-language parser adaptation between related languages
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Linguistically naïve != language independent: why NLP needs linguistic typology
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Language sampling
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Semantic typology
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Zhou, Guangyou, Tingting He, Jun Zhao, and Wensheng Wu. 2015 · 2015
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Classifying syntactic regularities for hundreds of languages
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Data point selection for cross-language adaptation of dependency parsers
Søgaard, Anders. 2011 · 2011
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Identifying word translations from comparable corpora using latent topic models
Vulić, Ivan, Wim De Smet, and Marie-Francine Moens. 2011 · 2011
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Syntactic transfer using a bilingual lexicon
Durrett, Greg, Adam Pauls, and Dan Klein. 2012 · 2012
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Klementiev, Alexandre, Ivan Titov, and Binod Bhattarai. 2012 · 2012
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Naseem, Tahira, Regina Barzilay, and Amir Globerson. 2012 · 2012
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Multi event extraction guided by global constraints
Reichart, Roi and Regina Barzilay. 2012 · 2012
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Coke, Reed, Ben King, and Dragomir R. Radev. 2016 · 2016
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Universal reordering via linguistic typology
Daiber, Joachim, Miloš Stanojević, and Khalil Sima’an. 2016 · 2016
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Deri, Aliya and Kevin Knight. 2016 · 2016
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Learning crosslingual word embeddings without bilingual corpora
Duong, Long, Hiroshi Kanayama, Tengfei Ma, Steven Bird, and Trevor Cohn. 2016 · 2016
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A universal framework for inductive transfer parsing across multi-typed treebanks
Guo, Jiang, Wanxiang Che, Haifeng Wang, and Ting Liu. 2016 · 2016
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Toward multilingual neural machine translation with universal encoder and decoder
Ha, Thanh-Le, Jan Niehues, and Alexander Waibel. 2016 · 2016
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Glottolog 2.7
Hammarström, Harald, Robert Forkel, Martin Haspelmath, and Sebastian Bank, editors. 2016 · 2016
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Deep neural networks with massive learned knowledge
Hu, Zhiting, Zichao Yang, Ruslan Salakhutdinov, and Eric Xing. 2016b · 2016
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Ethnologue: Languages of the world , 19th edition
Lewis, M Paul, Gary F Simons, and Charles D Fennig. 2016 · 2016
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Littel, Patrick, David R. Mortensen, and Lori Levin. 2016 · 2016
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Counter-fitting word vectors to linguistic constraints
Mrkšić, Nikola, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Lina Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young. 2016 · 2016
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Universal dependencies v1: A multilingual treebank collection
Nivre, Joakim, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, and Daniel Zeman. 2016 · 2016
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Survey on the use of typological information in natural language processing
O’Horan, Helen, Yevgeni Berzak, Ivan Vulić, Roi Reichart, and Anna Korhonen. 2016 · 2016
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Encoding prior knowledge with eigenword embeddings
Osborne, D., S. Narayan, and S. B. Cohen. 2016 · 2016
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Linguistic input features improve neural machine translation
Sennrich, Rico and Barry Haddow. 2016 · 2016
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Language typology in speech and language technology
Sproat, Richard. 2016 · 2016
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Discriminative analysis of linguistic features for typological study
Takamura, Hiroya, Ryo Nagata, and Yoshifumi Kawasaki. 2016 · 2016
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Polyglot neural language models: A case study in cross-lingual phonetic representation learning
Tsvetkov, Yulia, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W. Black, Lori Levin, and Chris Dyer. 2016 · 2016
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Cross-lingual models of word embeddings: An empirical comparison
Upadhyay, Shyam, Manaal Faruqui, Chris Dyer, and Dan Roth. 2016 · 2016
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The galactic dependencies treebanks: Getting more data by synthesizing new languages
Wang, Dingquan and Jason Eisner. 2016 · 2016
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The ASJP Database (version 17)
Wichmann, Søren, Eric W. Holman, and Cecil H. Brown, editors. 2016 · 2016
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Inducing multilingual text analysis tools using bidirectional recurrent neural networks
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Cross-lingual sentiment classification with bilingual document representation learning
Zhou, Xinjie, Xianjun Wan, and Jianguo Xiao. 2016 · 2016
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Cross-lingual parser selection for low-resource languages
Agić, Željko. 2017 · 2017
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Past, present, future: A computational investigation of the typology of tense in 1000 languages
Asgari, Ehsaneddin and Hinrich Schütze. 2017 · 2017
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The AUTOTYP typological databases. version 0.1.0
Bickel, Balthasar, Johanna Nichols, Taras Zakharko, Alena Witzlack-Makarevich, Kristine Hildebrandt, Michael Rießler, Lennart Bierkandt, Fernando Zún̂iga, and John Lowe. 2017 · 2017
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Word translation without parallel data
Conneau, Alexis, Guillaume Lample, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2017 · 2017
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Probabilistic typology: Deep generative models of vowel inventories
Cotterell, Ryan and Jason Eisner. 2017 · 2017
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Linguistic typology meets universal dependencies
Croft, William, Dawn Nordquist, Katherine Looney, and Michael Regan. 2017 · 2017
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Model transfer for tagging low-resource languages using a bilingual dictionary
Fang, Meng and Trevor Cohn. 2017 · 2017
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Learning language representations for typology prediction
Malaviya, Chaitanya, Graham Neubig, and Patrick Littell. 2017 · 2017
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Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints
Mrkšić, Nikola, Ivan Vulić, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gašić, Anna Korhonen, and Steve Young. 2017 · 2017
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Diachrony-aware induction of binary latent representations from typological features
Murawaki, Yugo. 2017 · 2017
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Continuous multilinguality with language vectors
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Multilingual hierarchical attention networks for document classification
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