1 |
Segmentation en mots faiblement supervisée pour la documentation automatique des langues
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03477475 ; 2021 (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Lightweight Adapter Tuning for Multilingual Speech Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
|
|
|
|
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
|
|
BASE
|
|
Show details
|
|
7 |
A Data Efficient End-To-End Spoken Language Understanding Architecture ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Controlling Utterance Length in NMT-based Word Segmentation with Attention ...
|
|
|
|
Abstract:
One 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 literature, they are challenged in real-world CLD settings by the small amount of available data. A possible remedy is to take advantage of glosses or translation in a foreign, well-resourced, language, which often exist for such data. In this paper, we explore and compare ways to exploit neural machine translation models to perform unsupervised boundary detection with bilingual information, notably introducing a new loss function for jointly learning alignment and segmentation. We experiment with an actual under-resourced language, Mboshi, and show that these techniques can effectively control the output segmentation length. ... : Accepted to IWSLT 2019 (Hong-Kong) ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1910.08418 https://arxiv.org/abs/1910.08418
|
|
BASE
|
|
Hide details
|
|
11 |
MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Unsupervised Word Segmentation from Speech with Attention ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|