1 |
DeepFry: Identifying Vocal Fry Using Deep Neural Networks ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
It’s alignment all the way down, but not all the way up: Speakers align on some features but not others within a dialogue
|
|
|
|
In: J Phon (2021)
|
|
BASE
|
|
Show details
|
|
5 |
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
|
|
Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth; Mielke, Sabrina J.; Wu, Shijie; Ponti, Edoardo; Maudslay, Rowan Hall; Zmigrod, Ran; Valvoda, Josef; Toldova, Svetlana; Tyers, Francis; Klyachko, Elena; Yegorov, Ilya; Krizhanovsky, Natalia; Czarnowska, Paula; Nikkarinen, Irene; Krizhanovsky, Andrew; Pimentel, Tiago; Hennigen, Lucas Torroba; Kirov, Christo; Nicolai, Garrett; Williams, Adina; Anastasopoulos, Antonios; Cruz, Hilaria; Chodroff, Eleanor; Cotterell, Ryan; Silfverberg, Miikka; Hulden, Mans. - : arXiv, 2020
|
|
Abstract:
A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from just one language such as English. The SIGMORPHON 2020 shared task on morphological reinflection aims to investigate systems' ability to generalize across typologically distinct languages, many of which are low resource. Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages. A total of 22 systems (19 neural) from 10 teams were submitted to the task. All four winning systems were neural (two monolingual transformers and two massively multilingual RNN-based models with gated attention). Most teams demonstrate utility of data hallucination and augmentation, ensembles, and multilingual training for low-resource languages. Non-neural learners and manually designed grammars showed ... : 39 pages, SIGMORPHON ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2006.11572 https://arxiv.org/abs/2006.11572
|
|
BASE
|
|
Hide details
|
|
9 |
Acoustic-phonetic and auditory mechanisms of adaptation in the perception of sibilant fricatives
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Investigating the forensic applications of global and local temporal representations of speech for dialect discrimination
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Predicting Declension Class from Form and Meaning
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
14 |
A Corpus for Large-Scale Phonetic Typology
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
16 |
The phonological and phonetic encoding of information status in American English nuclear accents
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Constraints on variability in the voice onset time of L2 English stop consonants
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Information structure, affect, and prenuclear prominence in American English
|
|
|
|
BASE
|
|
Show details
|
|
|
|