📰 Workshop on NLP Applications to Field Linguistics 2022 — accepted papers

Workshop on NLP Applications to Field Linguistics 2022 is the 2022 edition of the Workshop on NLP Applications to Field Linguistics, held in Gyeongju, Republic of Korea, October 2022 (publisher: International Committee on Computational Linguistics (ICCL)). The ACL Anthology lists 9 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Gyeongju, South Korea · 🗓 October 2022

All accepted papers (9)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Finite State Aproach to Interactive Transcription ↗William Lane, Steven Bird
2. Abui Wordnet: Using a Toolbox Dictionary to develop a wordnet for a low-resource language ↗Frantisek Kratochvil, Luís Morgado da Costa
3. Automatic Detection of Borrowings in Low-Resource Languages of the Caucasus: Andic branch ↗Konstantin Zaitsev, Anzhelika Minchenko
4. Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English VarietiesTessa Masis, Anissa Neal, Lisa Green et al.our summary
5. How to encode arbitrarily complex morphology in word embeddings, no corpus needed ↗Lane Schwartz, Coleman Haley, Francis Tyers
6. Machine Translation Between High-resource Languages in a Language Documentation Setting ↗Katharina Kann, Abteen Ebrahimi, Kristine Stenzel et al.
7. Predictive Text for Agglutinative and Polysynthetic Languages ↗Sergey Kosyak, Francis Tyers
8. The first neural machine translation system for the Erzya language ↗David Dale
9. The interaction between cognitive ease and informativeness shapes the lexicons of natural languages ↗Thomas Brochhagen, Gemma Boleda

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English VarietiesWorkshop on NLP Applications to Field LinguisticsTessa Masis, Anissa Neal, Lisa Green, et al.2022 · 10 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🌱Low-resource languages (1)English (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of Massachusetts AmherstAmherst Center · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

This page in Markdown → https://md.research.elamur.ai/free/en/venues/fieldmatters/2022/