Challenge: a lemmatizer/PoS tagger/dependency parser for west frisian is released as a web app and as . web service.
Approach: They propose a lemmatizer/PoS tagger/dependency parser for West Frisian using a corpus of 44,714 words in 3,126 sentences that were annotated according to the guidelines of Universal Dependencies version 2.
Outcome: The proposed lemmatizer/PoS tagger/dependency parser performs better than the previous version of Oersetter . the current corpus contains 44,714 words in 3,126 sentences .

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Challenge: We compare morphologically rich languages with analytical languages like English due to the large vocabulary size and data sparsity.
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Parsing as Tagging (2020.lrec-1)

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Challenge: Existing methods for dependency parsing treat parse as tagging, but they are not perfect.
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Evaluating zero-shot transfers and multilingual models for dependency parsing and POS tagging within the low-resource language family Tupían (2022.acl-srw)

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Challenge: Existing studies on NLP applications for low-resource languages have not been done in this area.
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Evaluating Shortest Edit Script Methods for Contextual Lemmatization (2024.lrec-main)

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Challenge: Modern contextual lemmatizers often rely on automatically induced Shortest Edit Scripts (SES) supervised contextual methods are used to perform lemma classification tasks.
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Building a Universal Dependencies Treebank for Occitan (2020.lrec-1)

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Challenge: Low-resourced regional, non-official or minority languages often face lack of institutional support . low-resource languages often find themselves in a similar situation .
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Towards the Conversion of National Corpus of Polish to Universal Dependencies (2020.lrec-1)

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Challenge: a paper aims at enriching the manually annotated part of National Corpus of Polish with a syntactic layer.
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Cross-Lingual Dependency Parsing by POS-Guided Word Reordering (2020.findings-emnlp)

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Challenge: Existing approaches to cross-lingual dependency parsing rely on large corpus size and cost.
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I Speak for the Árboles: Developing a Dependency Treebank for Spanish L2 and Heritage Speakers (2025.acl-srw)

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Challenge: Existing dependency treebanks for learner writing are limited due to morphosyntactic features.
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A Simple Joint Model for Improved Contextual Neural Lemmatization (N19-1)

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Challenge: False positive: a core NLP task of lemmatization seeks to map multiple forms of English verbs to a canonical one, known as the lemma.
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Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing (L18-1)

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Challenge: Using a crowdsourcing platform, we collected 18,917 annotations for a less-resourced French regional language, Alsatian.
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