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1
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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2
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020)
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3
Domain Adaptation of Neural Machine Translation by Lexicon Induction ...
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4
A Discriminative Graph-Based Parser for the Abstract Meaning Representation ...
Flanigan, Jeffrey; Thomson, Sam; Carbonell, Jaime G.. - : Carnegie Mellon University, 2014
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5
A Discriminative Graph-Based Parser for the Abstract Meaning Representation ...
Flanigan, Jeffrey; Thomson, Sam; Carbonell, Jaime G.. - : Carnegie Mellon University, 2014
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6
Developing Language Resources for a Transnational Digital Government System ...
Cavalli-Sforza, Violetta; Carbonell, Jaime G.; Jansen, Peter J. - : Carnegie Mellon University, 2010
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7
Developing Language Resources for a Transnational Digital Government System ...
Cavalli-Sforza, Violetta; Carbonell, Jaime G.; Jansen, Peter J. - : Carnegie Mellon University, 2010
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8
Chunk-Based EBMT ...
Kim, Jae Dong; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010
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9
Chunk-Based EBMT ...
Kim, Jae Dong; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010
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10
Monolingual Distributional Profiles for Word Substitution in Machine Translation ...
Gangadharaiah, Rashmi; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010
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11
Monolingual Distributional Profiles for Word Substitution in Machine Translation ...
Gangadharaiah, Rashmi; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010
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12
The KANT Machine Translation System: From R&D to Initial Deployment ...
Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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13
The KANT Machine Translation System: From R&D to Initial Deployment ...
Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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14
An Efficient Interlingua Translation System for Multi-lingual Document Production ...
Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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15
An Efficient Interlingua Translation System for Multi-lingual Document Production ...
Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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16
Unsupervised Induction of Natural Language Morphology Inflection Classes ...
Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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17
Unsupervised Induction of Natural Language Morphology Inflection Classes ...
Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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18
Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ...
Abstract: Producing machine translation (MT) for the many minority languages in the world is a serious challenge. Minority languages typically have few resources for building MT systems. For many minor languages there is little machine readable text, few knowledgeable linguists, and little money available for MT development. For these reasons, our research programs on minority language MT have focused on leveraging to the maximum extent two resources that are available for minority languages: linguistic structure and bilingual informants. All natural languages contain linguistic structure. And although the details of that linguistic structure vary from language to language, language universals such as context-free syntactic structure and the paradigmatic structure of inflectional morphology, allow us to learn the specific details of a minority language. Similarly, most minority languages possess speakers who are bilingual with the major language of the area. This paper discusses our efforts to utilize linguistic ...
Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6606992
https://kilthub.cmu.edu/articles/Linguistic_Structure_and_Bilingual_Informants_Help_Induce_Machine_Translation_of_Lesser-Resourced_Languages/6606992
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19
Proactive Learning for Building Machine Translation Systems for Minority Languages ...
Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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20
Proactive Learning for Building Machine Translation Systems for Minority Languages ...
Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009
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