Results 31 to 40 of about 4,329,486 (294)
, 2016 In this paper we introduce Latent Tree Language Model (LTLM), a novel approach to language modeling that encodes syntax and semantics of a given sentence as a tree of word roles.
Brychcin, Tomas
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Language-Agnostic Multilingual Modeling [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Multilingual Automated Speech Recognition (ASR) systems allow for the joint training of data-rich and data-scarce languages in a single model. This enables data and parameter sharing across languages, which is especially beneficial for the data-scarce languages.
Datta, Arindrima +4 more
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Productivity and Predictability for Measuring Morphological Complexity
Entropy, 2019 We propose a quantitative approach for quantifying morphological complexity of a language based on text. Several corpus-based methods have focused on measuring the different word forms that a language can produce.
Ximena Gutierrez-Vasques +1 more
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Network model of human language
, 2007 The phenomenon of human language is widely studied from various points of view. It is interesting not only for social scientists, antropologists or philosophers, but also for those, interesting in the network dynamics.
Albert +14 more
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German’s Next Language Model [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Accepted by ...
Chan, Branden +2 more
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Large Margin Neural Language Model
, 2018 We propose a large margin criterion for training neural language models. Conventionally, neural language models are trained by minimizing perplexity (PPL) on grammatical sentences.
Huang, Jiaji +3 more
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Customization of the ASR System for ATC Speech with Improved Fusion
AerospaceIn recent years, automatic speech recognition (ASR) technology has improved significantly. However, the training process for an ASR model is complex, involving large amounts of data and a large number of algorithms.
Jiahao Fan, Weijun Pan
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Language Without Words: A Pointillist Model for Natural Language Processing
, 2012 This paper explores two separate questions: Can we perform natural language processing tasks without a lexicon?; and, Should we? Existing natural language processing techniques are either based on words as units or use units such as grams only for basic ...
Crandall, Jedidiah +6 more
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A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
, 2018 We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry +2 more
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Engineering delta modeling languages [PDF]
Proceedings of the 17th International Software Product Line Conference, 2013 Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent. But, in order to apply delta modeling for a concrete language, so far, a delta language had to be manually developed
Haber, Arne +6 more
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