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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
Most speech and language technologies are trained with massive amounts of speech and text information. However, most of the world languages do not have such resources and some even lack …...
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)
This article presents multimodal and parallel data collections in Mboshi, as part of the French-German BULB project. It aims at supporting documentation and providing digital resources for less resourced languages …...
Controlling Utterance Length in NMT-based Word Segmentation with Attention
AbstractOne of the basic tasks of computational language documentation (CLD) is to identify word boundaries in an unsegmented phonemic stream. While several unsupervised monolingual word segmentation algorithms exist in the …...
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition
AbstractPhonemes are defined by their relationship to words: changing a phoneme changes the word. Learning a phoneme inventory with little supervision has been a longstanding challenge with important applications to …...