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Found 19 papers, 5 papers with code
Enhancing Documentation of Hupa with Automatic Speech Recognition
This study investigates applications of automatic speech recognition (ASR) techniques to Hupa, a critically endangered Native American language from the Dene (Athabaskan) language family.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression
Based on the same platform of OIX, the OIE strategies are reusable, and people can select a set of strategies to assemble their algorithm for a specific task so that the adaptability may be significantly increased.
Dependency Parsing Evaluation for Low-resource Spontaneous Speech
There is, however, much room for improvement on child utterances, particularly at 18 and 21 months, due to cases of omission and repetition that are prevalent in child speech.
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages
This year's iteration of the SIGMORPHON Shared Task on morphological reinflection focuses on typological diversity and cross-lingual variation of morphosyntactic features.
Morphological Segmentation for Seneca
This study takes up the task of low-resource morphological segmentation for Seneca, a critically endangered and morphologically complex Native American language primarily spoken in what is now New York State and Ontario.
Evaluating the Performance of Transformer-based Language Models for Neuroatypical Language
Difficulties with social aspects of language are among the hallmarks of autism spectrum disorder (ASD).
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
Recent work to enhance data partitioning strategies for more realistic model evaluation face challenges in providing a clear optimal choice.
Morphological Inflection: A Reality Check
Morphological inflection is a popular task in sub-word NLP with both practical and cognitive applications.
Data-driven Parsing Evaluation for Child-Parent Interactions
We present a syntactic dependency treebank for naturalistic child and child-directed speech in English (MacWhinney, 2000).
Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation
Many automatic speech recognition (ASR) data sets include a single pre-defined test set consisting of one or more speakers whose speech never appears in the training set.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
UniMorph 4.0: Universal Morphology
The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Not always about you: Prioritizing community needs when developing endangered language technology
Languages are classified as low-resource when they lack the quantity of data necessary for training statistical and machine learning tools and models.
Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Common designs of model evaluation typically focus on monolingual settings, where different models are compared according to their performance on a single data set that is assumed to be representative of all possible data for the task at hand.
Predicting pragmatic discourse features in the language of adults with autism spectrum disorder
Individuals with autism spectrum disorder (ASD) experience difficulties in social aspects of communication, but the linguistic characteristics associated with deficits in discourse and pragmatic expression are often difficult to precisely identify and quantify.
Predicting cross-linguistic adjective order with information gain
Languages vary in their placement of multiple adjectives before, after, or surrounding the noun, but they typically exhibit strong intra-language tendencies on the relative order of those adjectives (e. g., the preference for `big blue box' in English, `grande bo\^{i}te bleue' in French, and `alsund\={u}q al'azraq alkab\={\i}r' in Arabic).
