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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
;
Neubig, Graham
. - : arXiv, 2021
Abstract:
Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun "wall" has different lexical manifestations in Spanish -- "pared" refers to an indoor wall while "muro" refers to an outside wall. However, this variety of lexical distinction may not be obvious to non-native learners unless the distinction is explained in such a way. In this work, we present a method for automatically identifying fine-grained lexical distinctions, and extracting concise descriptions explaining these distinctions in a human- and machine-readable format. We confirm the quality of these extracted descriptions in a language learning setup for two languages, Spanish and Greek, where we use them to teach non-native speakers when to translate a given ambiguous word into its different possible translations. Code and data are publicly released here (https://github.com/Aditi138/LexSelection) ... : Accepted at EMNLP 2021 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2109.06014
https://arxiv.org/abs/2109.06014
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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
. - : Underline Science Inc., 2021
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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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