Search Results for author:
Found 14 papers, 3 papers with code
IGT2P: From Interlinear Glossed Texts to Paradigms
An intermediate step in the linguistic analysis of an under-documented language is to find and organize inflected forms that are attested in natural speech.
Morphological Processing of Low-Resource Languages: Where We Are and What’s Next
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.
Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America
Experiments on very low-resourced Indigenous North American languages show that an initially deficient multilingual translator can improve by 4. 9 BLEU through mBART pre-training, and 5. 5 BLEU points with the strategic addition of monolingual data, and that a divergence penalty leads to further increases of 0. 4 BLEU.
An Inflectional Database for Gitksan
We use Gitksan data in interlinear glossed format, stemming from language documentation efforts, to build a database of partial inflection tables.
Unsupervised Paradigm Clustering Using Transformation Rules
Secondly, we experiment with more general rules which can apply transformations inside the input strings in addition to prefix and suffix transformations.
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Under-Documented Languages
With this paper, we make the case that IGT data can be leveraged successfully provided that target language expertise is available.
Generalizing Morphological Inflection Systems to Unseen Lemmas
This paper presents experiments on morphological inflection using data from the SIGMORPHON-UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological Inflection.
Embedded Translations for Low-resource Automated Glossing
Aided by these enhancements, our model demonstrates an average improvement of 3. 97\%-points over the previous state of the art on datasets from the SIGMORPHON 2023 Shared Task on Interlinear Glossing.
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
In this project, we demonstrate that phoneme-based models for speech processing can achieve strong crosslinguistic generalizability to unseen languages.
An Investigation of Noise in Morphological Inflection
We aim at closing this gap by investigating the types of noise encountered within a pipeline for truly unsupervised morphological paradigm completion and its impact on morphological inflection systems: First, we propose an error taxonomy and annotation pipeline for inflection training data.
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languages
With this paper, we make the case that IGT data can be leveraged successfully provided that target language expertise is available.
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.
CLiMP: A Benchmark for Chinese Language Model Evaluation
CLiMP consists of sets of 1, 000 minimal pairs (MPs) for 16 syntactic contrasts in Mandarin, covering 9 major Mandarin linguistic phenomena.
Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars
Sequence-to-sequence models have proven to be highly successful in learning morphological inflection from examples as the series of SIGMORPHON/CoNLL shared tasks have shown.
