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Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03613101 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022)
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Imputing out-of-vocabulary embeddings with LOVE makes language models robust with little cost
In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03613101 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022)
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3
Will it Unblend?
In: Proceedings of the Society for Computation in Linguistics (2021)
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4
Out-of-Vocabulary Word Probability Estimation using RNN Language Model
In: 8th Language & Technology Conference ; https://hal.archives-ouvertes.fr/hal-01623784 ; 8th Language & Technology Conference, Nov 2017, Poznan, Poland (2017)
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5
Augmenting Translation Lexica by Learning Generalised Translation Patterns
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6
Myanmar OOV Words Extraction with Maximal Substrings and its Application to Document Clustering ...
Yuzana Win; Tomonari Masada. - : Zenodo, 2017
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7
Myanmar OOV Words Extraction with Maximal Substrings and its Application to Document Clustering ...
Yuzana Win; Tomonari Masada. - : Zenodo, 2017
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8
How Diachronic Text Corpora Affect Context based Retrieval of OOV Proper Names for Audio News
In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01331714 ; LREC 2016, May 2016, Portoroz, Slovenia (2016)
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9
Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition
In: INTERSPEECH 2016 ; https://hal.archives-ouvertes.fr/hal-01384488 ; INTERSPEECH 2016, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-1219⟩ (2016)
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10
Dynamic adjustment of language models for automatic speech recognition using word similarity
In: IEEE Workshop on Spoken Language Technology (SLT 2016) ; https://hal.archives-ouvertes.fr/hal-01384365 ; IEEE Workshop on Spoken Language Technology (SLT 2016), Dec 2016, San Diego, CA, United States ; http://www.slt2016.org/ (2016)
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11
Document Level Semantic Context for Retrieving OOV Proper Names
In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01331716 ; 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Mar 2016, Shanghai, China. pp.6050-6054, ⟨10.1109/ICASSP.2016.7472839⟩ (2016)
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12
Adding new words into a language model using parameters of known words with similar behavior
In: Proceedings ICNLSP'2015, International Conference on Natural Language and Speech Processing ; International Conference on Natural Language and Speech Processing ; https://hal.inria.fr/hal-01184194 ; International Conference on Natural Language and Speech Processing, Oct 2015, Alger, Algeria (2015)
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13
Study of Entity-Topic Models for OOV Proper Name Retrieval
In: Interspeech 2015 ; https://hal.archives-ouvertes.fr/hal-01184955 ; Interspeech 2015, Sep 2015, Dresden, Germany (2015)
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14
Using pronunciation-based morphological subword units to improve OOV handling in keyword search
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15
Comparing decoding strategies for subword-based keyword spotting in low-resourced languages
In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843408 ; Annual Conference of the International Speech Communication Association , ISCA, Sep 2014, Singapore, Singapore (2014)
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16
Contextual verification for open vocabulary spoken term detection
In: Fraunhofer IAIS (2011)
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17
Adapt It: some lessons learned in the Saveeng language program
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18
Detection of OOV words by combining acoustic confidence measures with linguistic features
In: proceedings of Automatic Speech Recognition and Understanding ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU) ; https://hal.archives-ouvertes.fr/hal-00435087 ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2009, Merano, Italy. pp.1-4 (2009)
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19
Web-Based Query Translation for English-Chinese CLIR
In: http://www.aclclp.org.tw/clclp/chi/v13n1/v13n1a4.pdf (2008)
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20
Using Wikipedia to Translate OOV Term on MLIR
In: http://www.mt-archive.info/NTCIR-2007-Su.pdf (2007)
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