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Hits 1 – 20 of 38
1
AUTOLEX: An Automatic Framework for Linguistic Exploration ...
Chaudhary, Aditi
;
Sheikh, Zaid
;
Mortensen, David R
. - : arXiv, 2022
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2
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
Muller, Benjamin
;
Anastasopoulos, Antonios
;
Sagot, Benoît
...
In: NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.inria.fr/hal-03251105 ; NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021, Mexico City, Mexico (2021)
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3
SD-QA: Spoken Dialectal Question Answering for the Real World ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Alam, Md Mahfuz Ibn
;
Anastasopoulos, Antonios
. - : Underline Science Inc., 2021
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4
SD-QA: Spoken Dialectal Question Answering for the Real World ...
Faisal, Fahim
;
Keshava, Sharlina
;
Alam, Md Mahfuz ibn
. - : arXiv, 2021
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5
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
Siminyu, Kathleen
;
Li, Xinjian
;
Anastasopoulos, Antonios
. - : arXiv, 2021
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6
Machine Translation into Low-resource Language Varieties ...
Kumar, Sachin
;
Anastasopoulos, Antonios
;
Wintner, Shuly
. - : arXiv, 2021
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7
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
Mahmud, Junayed
;
Faisal, Fahim
;
Arnob, Raihan Islam
. - : arXiv, 2021
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8
Systematic Inequalities in Language Technology Performance across the World's Languages ...
Blasi, Damián
;
Anastasopoulos, Antonios
;
Neubig, Graham
. - : arXiv, 2021
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9
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
Krishnan, Jitin
;
Anastasopoulos, Antonios
;
Purohit, Hemant
. - : arXiv, 2021
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10
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ...
Faisal, Fahim
;
Anastasopoulos, Antonios
. - : arXiv, 2021
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11
Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ...
Debnath, Arnab
;
Rajabi, Navid
;
Alam, Fardina Fathmiul
. - : arXiv, 2021
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12
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
Krishnan, Jitin
;
Anastasopoulos, Antonios
;
Purohit, Hemant
. - : arXiv, 2021
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13
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
Pratapa, Adithya
;
Anastasopoulos, Antonios
;
Rijhwani, Shruti
. - : arXiv, 2021
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14
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Anastasopoulos, Antonios
;
Chaudhary, Aditi
. - : Underline Science Inc., 2021
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15
Towards more equitable question answering systems: How much more data do you need? ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Alam, Fardina Fathmiul
;
Anastasopoulos, Antonios
. - : Underline Science Inc., 2021
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16
Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
Rijhwani, Shruti
;
Rosenblum, Daisy
;
Anastasopoulos, Antonios
. - : arXiv, 2021
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17
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
Chaudhary, Aditi
;
Yin, Kayo
;
Anastasopoulos, Antonios
. - : arXiv, 2021
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18
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Anastasopoulos, Antonios
;
Chaudhary, Aditi
. - : Underline Science Inc., 2021
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19
Lexically-Aware Semi-Supervised Learning for OCR Post-Correction ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Anastasopoulos, Antonios
;
Neubig, Graham
;
Rijhwani, Shruti
;
Rosenblum, Daisy
. - : Underline Science Inc., 2021
Abstract:
Much of the existing linguistic data in many languages of the world is locked away in non-digitized books and documents. Optical character recognition (OCR) can be used to produce digitized text, and previous work has demonstrated the utility of neural post-correction methods that improve the results of general-purpose OCR systems on recognition of less-well-resourced languages. However, these methods rely on manually curated post-correction data, which are relatively scarce compared to the non-annotated raw images that need to be digitized. In this paper, we present a semi-supervised learning method that makes it possible to utilize these raw images to improve performance, specifically through the use of self-training, a technique where a model is iteratively trained on its own outputs. In addition, to enforce consistency in the recognized vocabulary, we introduce a lexically aware decoding method that augments the neural post-correction model with a count-based language model constructed from the ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/fycy-h885
https://underline.io/lecture/38192-lexically-aware-semi-supervised-learning-for-ocr-post-correction
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20
AlloVera: a multilingual allophone database
Mortensen, David,
;
Li, Xinjian
;
Littell, Patrick
...
In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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