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Found 12 papers, 0 papers with code
Disambiguation of morpho-syntactic features of African American English – the case of habitual be
To overcome the scarcity, we employ a combination of rule-based filters and data augmentation that generate a corpus balanced between habitual and non-habitual instances.
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.
Disambiguation of morpho-syntactic features of African American English -- the case of habitual be
To overcome the scarcity, we employ a combination of rule-based filters and data augmentation that generate a corpus balanced between habitual and non-habitual instances.
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings
However, the importance and usefulness of POS tags needs to be examined as NLP expands to low-resource languages because linguists who provide many annotated resources do not place priority on early identification and tagging of POS.
The Russian PropBank
This paper presents a proposition bank for Russian (RuPB), a resource for semantic role labeling (SRL).
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited.
Linguistic Analysis Improves Neural Metaphor Detection
In the field of metaphor detection, deep learning systems are the ubiquitous and achieve strong performance on many tasks.
A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer
We experiment with training an encoder-decoder neural model for mimicking the behavior of an existing hand-written finite-state morphological grammar for Arapaho verbs, a polysynthetic language with a highly complex verbal inflection system.
Automatic Glossing in a Low-Resource Setting for Language Documentation
Morphological analysis of morphologically rich and low-resource languages is important to both descriptive linguistics and natural language processing.
