| 1 |
An investigation of English-Irish machine translation and associated resources
|
|
Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
|
|
In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
|
|
|
|
In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
|
|
Abstract:
International audience ; Automatic spoken language identification (LID) is a very important research field in the era of multilingual voice-command-based human-computer interaction (HCI). A front-end LID module helps to improve the performance of many speech-based applications in the multilingual scenario. India is a populous country with diverse cultures and languages. The majority of the Indian population needs to use their respective native languages for verbal interaction with machines. Therefore, the development of efficient Indian spoken language recognition systems is useful for adapting smart technologies in every section of Indian society. The field of Indian LID has started gaining momentum in the last two decades, mainly due to the development of several standard multilingual speech corpora for the Indian languages. Even though significant research progress has already been made in this field, to the best of our knowledge, there are not many attempts to analytically review them collectively. In this work, we have conducted one of the very first attempts to present a comprehensive review of the Indian spoken language recognition research field. In-depth analysis has been presented to emphasize the unique challenges of low-resource and mutual influences for developing LID systems in the Indian contexts. Several essential aspects of the Indian LID research, such as the detailed description of the available speech corpora, the major research contributions, including the earlier attempts based on statistical modeling to the recent approaches based on different neural network architectures, and the future research trends are discussed. This review work will help assess the state of the present Indian LID research by any active researcher or any research enthusiasts from related fields.
|
|
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; acoustic phonetics; code-switching; corpora development; discriminative model; Indian language identification; Language resources; language similarity; Machine learning; Signal processing systems Low-resourced languages
|
|
URL: https://hal.inria.fr/hal-03616853/file/TALLIP_Overview.pdf
https://doi.org/10.1145/3523179
https://hal.inria.fr/hal-03616853
https://hal.inria.fr/hal-03616853/document
|
|
BASE
|
|
Hide details
|
|
|
| 3 |
The contextual logic
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03195162 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Is Old French tougher to parse?
|
|
|
|
In: 20th International Workshop on Treebanks and Linguistic Theories ; https://hal.archives-ouvertes.fr/hal-03506500 ; 20th International Workshop on Treebanks and Linguistic Theories, Mar 2022, Sofia, Bulgaria (2022)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning
|
|
|
|
In: https://hal.inria.fr/hal-03536340 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Learning and controlling the source-filter representation of speech with a variational autoencoder
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Thirty Years of Machine Translation in Language Teaching and Learning: A Review of the Literature
|
|
|
|
In: L2 Journal, vol 14, iss 1 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events.
|
|
|
|
In: Nature communications, vol 13, iss 1 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Assessing the impact of OCR noise on multilingual event detection over digitised documents
|
|
|
|
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
|
|
|
|
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
|
|
|
|
In: Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021) ; https://hal.inria.fr/hal-03527328 ; Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021), Jan 2022, punta cana, Dominican Republic ; https://aclanthology.org/2021.wnut-1.47/ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Annotation of Morphological Errors in L2 Russian Corpus Analysis
|
|
|
|
In: 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable ; https://hal.archives-ouvertes.fr/hal-03620469 ; 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable, University of Arizona, Feb 2022, Tucson, United States (2022)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
|
|
|
|
In: HumEval at ACL ; https://hal.archives-ouvertes.fr/hal-03650294 ; HumEval at ACL, May 2022, Dublin, Ireland ; https://humeval.github.io/ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
|
|
|
|
In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
The use of MT by undergraduate translation students for different learning tasks
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03547415 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Can machines learn to see without visual databases?
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
АКТУАЛЬНЫЕ ТЕНДЕНЦИИ ЦИФРОВИЗАЦИИ ИНОЯЗЫЧНОГО ОБУЧЕНИЯ В НЕЯЗЫКОВОМ ВУЗЕ ... : CURRENT TRENDS IN DIGITALIZATION OF FOREIGN LANGUAGE EDUCATION IN A NON-LINGUISTIC UNIVERSITY ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
