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Page 1506 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 3
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1992
Linguistics and Language Behavior Abstracts: LLBA
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statements quanti- ty/procedure evaluation; affect-based/cognitive prompts; students’ written responses/interviews; 920577
nonsense syllable retention, human learned helplessness study; solv- able/unsolvable ...
/legal reasoning, conception representation framework; 9207140
cortical areas activation, Japanese kanji/kana symbol reading compar- ison; positron emission tomography measurements; normal right- handed ...
Classification-based spoken text selection for LVCSR language modeling
2017
EURASIP Journal on Audio, Speech, and Music Processing
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Three classification techniques, SVM, CRF, and LSTM, trained by words and parts-of-speech are comparatively experimented to identify the degree of spoken style in each social media sentence. ...
Regarding the LVCSR word error rate (WER), they achieve 3.38, 3.44, and 3.39% WER reduction, respectively, over the baseline language model, and 1.07, 0.23, and 0.38% WER reduction, respectively, over ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s13636-017-0121-5
fatcat:44ah7tzjlfciznb4kbinpouaem
Automatic Conversion of Dialectal Tamil Text to Standard Written Tamil Text using FSTs
2014
Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM
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Agglutination and compounding in the resultant text is handled using Conditional Random Fields (CRFs) based word boundary identifier. ...
Written language equivalents for dialectal and spoken language forms are obtained using Finite State Transducers (FSTs) where spoken language suffixes are replaced with appropriate written language suffixes ...
Alternatively, performing a simple list based mapping between spoken and written form words is also inefficient and unattainable. ...
doi:10.3115/v1/w14-2805
dblp:conf/sigmorphon/KD14
fatcat:ovmvd3iqijezpnsgp24fhl6il4
Challenges in Arabic Natural Language Processing
[chapter]
2018
Computational Linguistics, Speech and Image Processing for Arabic Language
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Index Terms-Arabic morphology, Arabic natural language processing, Arabic Parsing, Arabic syntax, Intelligent computer assisted language learning, machine translation, named entity recognition, rule-based ...
and entities are neither available nor easily affordable, and 2) for morphologically rich languages, which even with the availability of corpora suffer from data sparseness. ...
We developed the system, Named Entity Recognition for Arabic (NERA), using a rule-based approach (see [23] , [25] , and [26] ). ...
doi:10.1142/9789813229396_0003
fatcat:lwi7jmbohnc2pdodi5d2d73nzu
Using Morphological Information for Robust Language Modeling in Czech ASR System
2009
IEEE Transactions on Audio, Speech, and Language Processing
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This paper shows that using rich morphological tags within the concept of class-based n-gram language model with many-to-many word-to-class mapping and combination of this model with the standard word-based ...
n-gram can improve the recognition accuracy over the word-based baseline on the task of automatic transcription of unconstrained spontaneous Czech interviews. ...
realizes a mapping from word-class pairs to 1 and is a transducer that maps class sentences to and thus constitutes the exact analogy of the word-based -gram , just with classes instead of words. ...
doi:10.1109/tasl.2009.2014217
fatcat:fwnkaqs56beanbyiphtat6llpa
Commonality of neural representations of sentences across languages: Predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function
2017
NeuroImage
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representations of the stimulus sentences. ...
Keywords: Cross-language commonality, sentence representations in bilinguals, Predictive modeling of sentence representations, Meta-language brain locations in sentence processing ABSTRACT The aim of the ...
Acknowledgements This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via Air Force ...
doi:10.1016/j.neuroimage.2016.10.029
pmid:27771346
fatcat:fcqj7f6jy5enbke4bevwagfhai
Handwriting Recognition, Automatic
[chapter]
2006
Encyclopedia of Language & Linguistics
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Handwriting recognition is to transform written language in its spatial form of graphical marks into symbolic representation. ...
For languages based on the Latin alphabet, the basic units of this symbolic representation are characters. ...
Algorithms for preprocessing, character and word recognition, and performance with practical systems are indicated. ...
doi:10.1016/b0-08-044854-2/00982-2
fatcat:sjqbp24cnrbzpb3yyvbj4mtk5y
Computer Vision and Natural Language Processing
2016
ACM Computing Surveys
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We make an analog of distributional semantics in computer vision and natural language processing as image embedding and word embedding, respectively. ...
In this survey, we provide a comprehensive introduction of the integration of computer vision and natural language processing in multimedia and robotics applications with more than 200 key references. ...
ACKNOWLEDGMENTS The authors thank the anonymous reviewers and editors for their insightful comments and suggestions. We thank Dr. Hal Daumé III and Dr. ...
doi:10.1145/3009906
fatcat:bdgaeoz4w5djhd5spab4lrc4au
Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition
2017
Cognitive Psychology
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These results motivate a speaker-model account of spoken word recognition in which comprehenders determine key characteristics of their interlocutor and use this knowledge to guide word meaning access. ...
A series of web-based experiments demonstrate that accent cues can modulate access to word meaning. ...
At the offset of the sentence-final word, a judgement page appeared with the text ''Does NOT make sense" on the left-hand side, with the response cue ''f" written beneath, and with the text ''Makes sense ...
doi:10.1016/j.cogpsych.2017.08.003
pmid:28881224
pmcid:PMC6597358
fatcat:44etscca3zefxa2kjgve746bpu
Development of a Prosodic Read Speech Syllabic Corpus of the Yoruba Language
2021
Communications on Applied Electronics
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Such investigationstraverse thephonetic, aural and etymological representations of the language. ...
A hybrid of Falaschi scheme and the add-on procedure of Radová and Vopálka were applied to extractphonetically balanced text bag of 7376 phrases and sentences with a view to minimizing the extraction cost ...
The English language tokenizer is a Finite State Machine tokenizer based on hand-written rules. ...
doi:10.5120/cae2021652884
fatcat:yk3bm5t5gff7lmrsizwiul7tlq
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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In addition, we develop a unified language model that decodes sentences with diverse word choices and syntax for different styles. ...
Linguistic style is an essential part of written communication, with the power to affect both clarity and attractiveness. ...
Tran, and S. Wu for helpful suggestions. ...
doi:10.1109/cvpr.2018.00896
dblp:conf/cvpr/MathewsXH18
fatcat:xsd2zvxz3jdclk25q6c2jdaiz4
When sentences live up to your expectations
2016
NeuroImage
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sentence, (ii) corresponding written sentence (i.e. identical syntax and lexical items), (iii) written sentence with identical lexical items (i.e. content words) but different syntactic structure and ...
The ventral stream along the superior temporal sulcus maps the acoustic signals onto semantic representations. ...
doi:10.1016/j.neuroimage.2015.09.004
pmid:26363344
fatcat:lyhan32c3rgdzkmnrwjglihgie
Author Identification using Stylometric Features
2007
Inteligencia Artificial
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It takes into account a writer-independent model which reduces the pattern recognition problem to a single model and two classes, hence, makes it possible to build robust system even when few genuine samples ...
In this work we present a strategy for author identification for documents written in Portuguese. ...
Acknowledgements This research has been supported by The National Council for Scientific and Technological Development (CNPq) grant 475645/2004-9. ...
doi:10.4114/ia.v11i36.892
fatcat:lr2fmjrxwbd3pfa43yn5g5kfku
Aspect Sentiment Identification using Random Fourier Features
2018
International Journal of Intelligent Systems and Applications
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The method presented in this paper proves that detection of aspect based polarities can be improved by selective choice of relevant features and mapping them to lower dimensions. ...
Precision, Recall, and F-measure were deployed in our empirical evaluations. ...
The resultant unique vocabulary list was written as a row vector where each word in a text is mapped to the word in the row vector, if present it is assigned a 1 to its corresponding position else 0. ...
doi:10.5815/ijisa.2018.09.04
fatcat:aypiajolynbyxic7c4rtfxxav4
Putting an "End" to the Motor Cortex Representations of Action Words
2013
Journal of Cognitive Neuroscience
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by observing and executing hand movements. ...
Thus, motor cortex responses to action words cannot be assumed to selectively reflect conceptual content and/or its simulation. ...
Mylin Dat for her assistance with compiling the review information and to the reviewers of an earlier version of this article for their helpful comments. ...
doi:10.1162/jocn_a_00437
pmid:23806137
fatcat:777yjhsfxfe7jbo7waom3m7mjm
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