LanguageProcessing

task ID: languageprocessing

Related Papers

How Language Processing Constrains (Computational) Natural Language Processing: A Cognitive Perspective

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

. In this paper I aim at sketching out in bare outline a new model/framework of language processing with its implications for natural language processing. Research in theoretical linguistics, computational …...

19333

Cloud Logic Programming for Integrating Language Technology Resources

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThe main goal of the CLT Cloud project is to equip lexica, morphological processors, parsers and other software components developed within CLT (Centre of Language Technology) with so called web …...

13932

An Analysis of Frequency- and Memory-Based Processing Costs

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

The frequency of words and syntactic con- structions has been observed to have a sub- stantial effect on language processing. This begs the question of what causes certain con- structions …...

23755

Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractEvent relation recognition is a challenging language processing task. It is required to determine the relation class of a pair of query events, such as causality, under the condition that …...

5502

Homonym normalisation by word sense clustering: a case in Japanese

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis work presents a method of word sense clustering that differentiates homonyms and merge homophones, taking Japanese as an example, where orthographical variation causes problem for language processing. It uses …...

4070

Cross-lingual Strategies for Low-resource Language Modeling: A Study on Five Indic Dialects

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractNeural language models play an increasingly central role for language processing, given their success for a range of NLP tasks. In this study, we compare some canonical strategies in language …...

1728