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Found 10 papers, 4 papers with code
Automatic Interlinear Glossing for Otomi language
Our work also comprises the pre-processing and annotation of the corpus.
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas
This paper presents the results of the 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas.
TeDDi Sample: Text Data Diversity Sample for Language Comparison and Multilingual NLP
We present the TeDDi sample, a diversity sample of text data for language comparison and multilingual Natural Language Processing.
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules
We apply our methodology to analyze the model{'}s decisions on three typologically-different languages and find that a) our pattern extraction method applied to cross-attention weights uncovers variation in form of inflection morphemes, b) pattern extraction from self-attention shows triggers for such variation, c) both types of patterns are closely aligned with grammar inflection classes and class assignment criteria, for all three languages.
From characters to words: the turning point of BPE merges
The distributions of orthographic word types are very different across languages due to typological characteristics, different writing traditions and potentially other factors.
Comparing morphological complexity of Spanish, Otomi and Nahuatl
We use two small parallel corpora for comparing the morphological complexity of Spanish, Otomi and Nahuatl.
Challenges of language technologies for the indigenous languages of the Americas
Indigenous languages of the American continent are highly diverse.
Low-resource bilingual lexicon extraction using graph based word embeddings
Our proposal is to construct bilingual word vectors from a graph.
Axolotl: a Web Accessible Parallel Corpus for Spanish-Nahuatl
This paper describes the project called Axolotl which comprises a Spanish-Nahuatl parallel corpus and its search interface.
