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A current problem in NLP is massaging and processing low-resource languages which lack useful training attributes such as supervised data, number of native speakers or experts, etc.
A study on low-resource language identification
Zhaodi Qi, Yong Ma, and Mingliang Gu. 2019 · 1902
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A grounded unsupervised universal part-of-speech tagger for low-resource languages
Ronald Cardenas, Ying Lin, Heng Ji, and Jonathan May. 2019 · 1904
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How multilingual is multilingual bert?
Telmo Pires, Eva Schlinger, and Dan Garrette. 2019 · 1906
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Language graph distillation for low-resource machine translation
Tianyu He, Jiale Chen, Xu Tan, and Tao Qin. 2019 · 1908
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Towards zero-resource cross-lingual entity linking
Shuyan Zhou, Shruti Rijhwani, and Graham Neubig. 2019 · 1909
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Class-based n-gram models of natural language
Peter F Brown, Peter V Desouza, Robert L Mercer, Vincent J Della Pietra, and Jenifer C Lai. 1992 · 1992
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Inducing multilingual text analysis tools via robust projection across aligned corpora
David Yarowsky, Grace Ngai, and Richard Wicentowski. 2001 · 2001
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Massively multilingual document alignment with cross-lingual sentence-mover’s distance
Ahmed El-Kishky and Francisco Guzmán. 2020 · 2002
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Low resource neural machine translation: A benchmark for five african languages
Surafel M Lakew, Matteo Negri, and Marco Turchi. 2020 · 2003
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Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho Mokgonyane, Rethabile Mokoena, and Abiodun Modupe. 2020a · 2003
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Language model prior for low-resource neural machine translation
Christos Baziotis, Barry Haddow, and Alexandra Birch. 2020 · 2004
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Low resource language dataset creation, curation and classification: Setswana and sepedi
Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho Mokgonyane, Rethabile Mokoena, and Abiodun Modupe. 2020b · 2004
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Establishing baselines for text classification in low-resource languages
Jan Christian Blaise Cruz and Charibeth Cheng. 2020 · 2005
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Design challenges for low-resource cross-lingual entity linking
Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, and Dan Roth. 2020 · 2005
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Unsupervised morphological paradigm completion
Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya D McCarthy, and Katharina Kann. 2020 · 2005
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Paramor: Finding paradigms across morphology
Christian Monson, Jaime Carbonell, Alon Lavie, and Lori Levin. 2007 · 2007
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A hybrid named entity recognition system for south and south east asian languages
Sujan Kumar Saha, Sanjay Chatterji, Sandipan Dandapat, Sudeshna Sarkar, and Pabitra Mitra. 2008 · 2008
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Human language technology resources for less commonly taught languages: Lessons learned toward creation of basic language resources
Heather Simpson, Christopher Cieri, Kazuaki Maeda, Kathryn Baker, and Boyan Onyshkevych. 2008 · 2008
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Natural language processing for less privileged languages: Where do we come from? where are we going?
Anil Kumar Singh. 2008 · 2008
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Two decades of unsupervised pos induction: How far have we come?
Christos Christodoulopoulos, Sharon Goldwater, and Mark Steedman. 2010 · 2010
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Multi-source transfer of delexicalized dependency parsers
Ryan McDonald, Slav Petrov, and Keith Hall. 2011 · 2011
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Analyzing methods for improving precision of pivot based bilingual dictionaries
Xabier Saralegi, Iker Manterola, and Inaki San Vicente. 2011 · 2011
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Unsupervised dependency parsing without gold part-of-speech tags
Valentin I Spitkovsky, Hiyan Alshawi, Angel X Chang, and Daniel Jurafsky. 2011 · 2011
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Text readability classification of textbooks of a low-resource language
Zahurul Islam, Alexander Mehler, and Rashedur Rahman. 2012 · 2012
Earlier work this paper cites.
Multilingual mlp features for low-resource lvcsr systems
Samuel Thomas, Sriram Ganapathy, and Hynek Hermansky. 2012 · 2012
Cited alongside, same era.
Improving named entity recognition for morphologically rich languages using word embeddings
Hakan Demir and Arzucan Özgür. 2014 · 2014
Cited alongside, same era.
What can we get from 1000 tokens? a case study of multilingual pos tagging for resource-poor languages
Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird, and Paul Cook. 2014 · 2014
Cited alongside, same era.
A neural network model for low-resource universal dependency parsing
Long Duong, Trevor Cohn, Steven Bird, and Paul Cook. 2015b · 2015
Cited alongside, same era.
Named entity disambiguation for resource-poor languages
Mohamed H Gad-Elrab, Mohamed Amir Yosef, and Gerhard Weikum. 2015 · 2015
Cited alongside, same era.
A constraint approach to pivot-based bilingual dictionary induction
Low-resource named entity recognition with cross-lingual, character-level neural conditional random fields
Ryan Cotterell and Kevin Duh. 2017 · 2017
Later among the works it cites.
Named entity recognition with word embeddings and wikipedia categories for a low-resource language
Arjun Das, Debasis Ganguly, and Utpal Garain. 2017 · 2017
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Data augmentation for low-resource neural machine translation
Marzieh Fadaee, Arianna Bisazza, and Christof Monz. 2017 · 2017
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Model transfer for tagging low-resource languages using a bilingual dictionary
Meng Fang and Trevor Cohn. 2017 · 2017
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A very low resource language speech corpus for computational language documentation experiments
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Mairidan Wushouer, Donghui Lin, Toru Ishida, and Katsutoshi Hirayama. 2015 · 2015
Cited alongside, same era.
Utilisation des réseaux de neurones récurrents pour la projection interlingue d’étiquettes morpho-syntaxiques à partir d’un corpus parallèle
Othman Zennaki, Nasredine Semmar, and Laurent Besacier. 2015 · 2015
Cited alongside, same era.
Multilingual projection for parsing truly low-resource languages
Željko Agić, Anders Johannsen, Barbara Plank, Héctor Martínez Alonso, Natalie Schluter, and Anders Søgaard. 2016 · 2016
Cited alongside, same era.
Many languages, one parser
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, and Noah A Smith. 2016 · 2016
Cited alongside, same era.
Quick and reliable document alignment via tf/idf-weighted cosine distance
Christian Buck and Philipp Koehn. 2016 · 2016
Cited alongside, same era.
Cross-lingual morphological tagging for low-resource languages
Jan Buys and Jan A Botha. 2016 · 2016
Cited alongside, same era.
Selection criteria for low resource language programs
Christopher Cieri, Mike Maxwell, Stephanie Strassel, and Jennifer Tracey. 2016 · 2016
Cited alongside, same era.
Pierre Godard, Gilles Adda, Martine Adda-Decker, Juan Benjumea, Laurent Besacier, Jamison Cooper-Leavitt, Guy-Noël Kouarata, Lori Lamel, Hélene Maynard, Markus Müller, et al. 2017 · 2017
Later among the works it cites.
A generalized constraint approach to bilingual dictionary induction for low-resource language families
Arbi Haza Nasution, Yohei Murakami, and Toru Ishida. 2017 · 2017
Later among the works it cites.
Transfer learning across low-resource, related languages for neural machine translation
Toan Q Nguyen and David Chiang. 2017 · 2017
Later among the works it cites.
Opportunities and challenges in working with low-resource languages
Yulia Tsvetkov. 2017 · 2017
Later among the works it cites.
Neural transition-based string transduction for limited-resource setting in morphology
Peter Makarov and Simon Clematide. 2018 · 2018
Later among the works it cites.
V Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya, et al. 2018 · 2018
Later among the works it cites.
Multilingual universal dependency parsing from raw text with low-resource language enhancement
Yingting Wu, Hai Zhao, and Jia-Jun Tong. 2018 · 2018
Later among the works it cites.
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
Later among the works it cites.
Syllable-based speech recognition for a very low-resource language, chaha
Tessfu Geteye Fantaye, Junqing Yu, and Tulu Tilahun Hailu. 2019 · 2019
Later among the works it cites.
An augmented translation technique for low resource language pair: Sanskrit to hindi translation
Rashi Kumar, Piyush Jha, and Vineet Sahula. 2019 · 2019
Later among the works it cites.
Sentence-level adaptation for low-resource neural machine translation
Aaron Mueller and Yash Kumar Lal. 2019 · 2019
Later among the works it cites.
Thai named entity tagged corpus annotation scheme and self verification
Kitiya Suriyachay, Thatsanee Charoenporn, and Virach Sornlertlamvanich. 2019 · 2019
Later among the works it cites.
Research on uyghur pattern matching based on syllable features
Wayit Abliz, Maihemuti Maimaiti, Hao Wu, Jiamila Wushouer, Kahaerjiang Abiderexiti, Tuergen Yibulayin, and Aishan Wumaier. 2020 · 2020
Closest in time.
Sentiment and emotion analysis of text: A survey on approaches and resources
Nazish Azam, Bilal Tahir, and Muhammad Amir Mehmood. 2020 · 2020
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Semi-supervised learning on meta structure: Multi-task tagging and parsing in low-resource scenarios
KyungTae Lim, Jay Yoon Lee, Jaime Carbonell, and Thierry Poibeau. 2020 · 2020
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Named entity recognition in low-resource languages using cross-lingual distributional word representation
Michael Franklin Mbouopda and Paulin Melatagia Yonta. 2020 · 2020
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The asjp database (version 19)
Eric W. Holman Wichmann, Søren and Cecil H. Brown (eds.). 2020 · 2020
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Projecting named entity tags from a resource rich language to a resource poor language
Norshuhani Zamin. 2020 · 2020
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Improving candidate generation for low-resource cross-lingual entity linking
Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime Carbonell, and Graham Neubig. 2020 · 2020
Closest in time.