Papers by Balázs Indig

4 papers
The xtsv Framework and the Twelve Virtues of Pipelines (2020.lrec-1)

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Challenge: Numerous small independent tools do not fit in a larger framework, and they may not be acknowledged properly.
Approach: They propose an abstract framework for building NLP pipelines which is based on xtsv and a tsvo format with header plus some additional features.
Outcome: The proposed framework is based on a concrete application for a Hungarian NLP pipeline.
E-magyar – A Digital Language Processing System (L18-1)

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Challenge: e-magyar is a free, open, modular text processing pipeline for Hungarian . existing tools were overhauled to operate in the pipeline with a uniform encoding and run in the same Java platform.
Approach: e-magyar is a free, open, modular text processing pipeline for Hungarian . it was created by a collaborative effort by the language technology community . the system is aimed at a broad range of users, from language developers to researchers .
Outcome: The proposed tool is open source and available for download on the HFST framework.
What’s Wrong, Python? – A Visual Differ and Graph Library for NLP in Python (L18-1)

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Challenge: a library that allows the user to visualise and compare the output of a program with a well-known data format is needed.
Approach: They propose a supervised learning tool that allows users to visualise and compare program output . they use popular off-the-shelf visualisation programs to specify essential primitive functions .
Outcome: The proposed tool gives the user total control over visualisation and compares output of any program with a well-known data format.
ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry (2022.lrec-1)

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Challenge: ELTE Poetry Corpus is a database that stores canonical Hungarian poetry with automatic annotations of the poems’ structural units, grammatical features and sound devices.
Approach: They propose to use a TEI XML format to make it easier and faster to execute queries on the corpus.
Outcome: The proposed method combines the results of a manual evaluation of the quality of the automatic annotation of rhythm with the results from an automatic evaluation of rule sets used for the automatic annotation of rhyme patterns.

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