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This chapter focuses on methods that provide an alternative to machinese by learning to control the linguistic style of computer interfaces from data. Natural ...
François Mairesse: Data-driven methods for linguistic style control. Natural Language Generation in Interactive Systems 2014: 207-226.
A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.
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Internet tools for language learning: University students taking control of their writing. Australasian Journal of Educational Technology, 26(6), 861-882 ...
In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics. We present a review of brain imaging- ...
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Nov 22, 2023 · This systematic review presents a comprehensive analysis of the literature on the use of corpora and data-driven learning (DDL) in language ...
State-of-the-art natural language processing (NLP) tools, such as text parsing, speech recog- nition and synthesis, text and speech translation, semantic ...
In this paper, we present the KU x Upstage team's submission for the Special Task on Formality Control on Spoken Language Translation.
We show how these data-driven algorithms can be efficiently used for modeling the hier- archical phrase structure given lexical and morpho-syntactic information ...
now driven by linguistic objects such as words, categories and morphosyntactic classes in a text structure. There are several advantages to such a data ...
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