Sequence Labeling for Cognate Production
نویسندگان
چکیده
منابع مشابه
Cognate Production using Character-based Machine Translation
Cognates are words in different languages that are associated with each other by language learners. Thus, cognates are important indicators for the prediction of the perceived difficulty of a text. We introduce a method for automatic cognate production using character-based machine translation. We show that our approach is able to learn production patterns from noisy training data and that it w...
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the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis,a one-way anova experimental design was carried out. 24 sednior students of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inter...
15 صفحه اولMultilayer Sequence Labeling
In this paper, we describe a novel approach to cascaded learning and inference on sequences. We propose a weakly joint learning model on cascaded inference on sequences, called multilayer sequence labeling. In this model, inference on sequences is modeled as cascaded decision. However, the decision on a sequence labeling sequel to other decisions utilizes the features on the preceding results a...
متن کاملfacilitating lexical access for the fluent production of speech
the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis , a one- way anova experimental design was carried out. 24 senior student of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inte...
15 صفحه اولDiscriminative Sequence Labeling
In a classification problem, we are given the input x and want to find out which category it belongs to in a given label set Π. Information from the input x is often represented as a feature vector φ(x). The basic idea of linear classifiers, then, is to have a weight vector wz for each class label z, in the same dimension as φ(x), to distinguish input from different categories. The label for an...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.08.184