Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Under-Documented Languages

no code implementations • Findings (ACL) 2022 • Clarissa Forbes, Farhan Samir, Bruce Oliver, Changbing Yang, Edith Coates, Garrett Nicolai, Miikka Silfverberg

With this paper, we make the case that IGT data can be leveraged successfully provided that target language expertise is available.

Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America

no code implementations • ComputEL 2021 • Garrett Nicolai, Edith Coates, Ming Zhang, Miikka Silfverberg

Machine Translation

An Inflectional Database for Gitksan

1 code implementation • LREC 2022 • Bruce Oliver, Clarissa Forbes, Changbing Yang, Farhan Samir, Edith Coates, Garrett Nicolai, Miikka Silfverberg

We use Gitksan data in interlinear glossed format, stemming from language documentation efforts, to build a database of partial inflection tables.

Data Augmentation Hallucination +1

Neural Automated Writing Evaluation with Corrective Feedback

no code implementations • 27 Feb 2024 • Izia Xiaoxiao Wang, Xihan Wu, Edith Coates, Min Zeng, Jiexin Kuang, Siliang Liu, Mengyang Qiu, Jungyeul Park

The utilization of technology in second language learning and teaching has become ubiquitous.

Automated Writing Evaluation Grammatical Error Correction

Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languages

no code implementations • 17 Mar 2022 • Clarissa Forbes, Farhan Samir, Bruce Harold Oliver, Changbing Yang, Edith Coates, Garrett Nicolai, Miikka Silfverberg

With this paper, we make the case that IGT data can be leveraged successfully provided that target language expertise is available.