This paper presents models to predict event durations.

Book chapter defining descriptive linguistic fieldwork, explores tasks that fall under this definition, outlines goals of descriptive linguistic fieldwork, and identifies aspirations and limitations of linguistic fieldworkers.

This article is a position statement on reproducible research in linguistics, including data citation and attribution, that represents the collective views of some 41 colleagues.

Article provides a systematic comparison and detailed analysis of two prenominal possessive constructions in Yiddish, the familiar mayn khaver ‘my friend’ and the less well-known mayner a khaver ‘a friend of mine.’

This article investigates the use of synthetic data for the annotation and automated extraction of family history information relating to cases of cardiac disease from Norwegian clinical text. This work assesses the validity and applicability of the annotated synthetic corpus using machine learning techniques. The methodology outlined in this article may be useful in other situations where limited availability of clinical text hinders NLP tasks.

This paper presents a new corpus of Wikipedia articles annotated with temporally-oriented possession or tracking concrete objects as they change hands over time.

Article reviewing one particular challenge to data management relevant to South Asia, which is the complexity of names (of individuals, groups, and languages). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This paper introduces an attention mechanism that pinpoints relevant context not only for the current instance, but also for the larger context.

This article investigates the role of semantic clause types and modality in argumentative texts.

Article describes how the authors present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures they study are corpus-based measures of morphological complexity with varying requirements for corpus annotation.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation provides an example of a data management plan for a linguistics archiving project.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation discusses the ethics involved in data management and data sharing.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation asks the authors various questions regarding harmonized annotation and data.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation looks at language archiving needs and issues from the perspective of the Lamkang community.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation provides an overview of the data structures needed for computational linguistics and natural language processing.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation discusses the use of a database for language archiving through the example of Himalayan Tibeto-Burman languages.

Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation provides an overview of the Computational Resource for South Asian Languages project.

This paper describes the use of Shared Task Evaluation Campaigns by designing tasks that are compelling to speech and natural language processing researchers while addressing technical challenges in language documentation and exploiting growing archives of endangered language data.

Article presents a fully automated workflow for phylogenetic reconstruction on large datasets, consisting of two novel methods, one for fast detection of cognates and one for fast Bayesian phylogenetic inference.

This is the hierarchical coding scheme used for qualitative analysis of interviews with language archive managers, depositors, and end-users as part of the 'Exploring Methods and Techniques for Facilitating Access to Digital Language Archives' project (January 2019-August 2020).

This paper focuses on a particular type of abusive language, targeting expressions in which typically neutral adjectives take on pejorative meaning when used as nouns.

This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.

Article addressing if a new Bayesian framework can be introduced and ways to overcome subjectivity. The authors introduce a new method called Generalized Bayesian Dating (GBD) for inferring dates of language groups from lexical and phonological data. This work has implications for future performance testing in the area of linguistic dating.

Article discusses the morpho-syntax of phrasal proper names like Deutsche Bahn 'German Railway' and Norske Skog 'Norwegian Forest' in German and Norwegian. The authors document that phrasal proper names may show features of recursivity evidenced most clearly in Norwegian.