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Evolution and trade-off dynamics of functional load
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In: ISSN: 1099-4300 ; Entropy ; https://hal.archives-ouvertes.fr/hal-03630585 ; Entropy, MDPI, 2022, ⟨10.3390/e24040507⟩ (2022)
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Data on acoustic phonetic properties of non-coronal fricatives in monosyllabic words of Zhongjiang Chinese
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In: Data Brief (2022)
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The Open Letter: Responses and recommendations
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5257 ; 2473-8689 (2022)
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Gender representation in linguistic example sentences
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In: Proceedings of the Linguistic Society of America; Vol 5, No 1 (2020): Proceedings of the Linguistic Society of America; 514–528 ; 2473-8689 (2020)
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The Tonal Comparative Method: Tai Tone in Historical Perspective
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Swadesh lists are not long enough: Drawing phonological generalizations from limited data ...
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Lexical tone and the Comparative Method: Distinguishing innovation, retention, and chance resemblance ...
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The Tonal Comparative Method: Tracing Sound Change in Lexical Tone ...
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The Tonal Comparative Method: Tracing Sound Change in Lexical Tone ...
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Is tone phonologically atomic? The significance of syllable shape in tone diachrony ...
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Is tone phonologically atomic? The significance of syllable shape in tone diachrony ...
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Lexical tone and the Comparative Method: Distinguishing innovation, retention, and chance resemblance ...
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The Tonal Comparative Method: Leveraging lexical tone in historical linguistics ...
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The Tonal Comparative Method: Leveraging lexical tone in historical linguistics ...
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A Robin Hood approach to forced alignment: English-trained algorithms and their use on Australian languages
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In: Proceedings of the Linguistic Society of America; Vol 4 (2019): Proceedings of the Linguistic Society of America; 3:1–12 ; 2473-8689 (2019)
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Abstract:
Forced alignment automatically aligns audio recordings of spoken language with transcripts at the segment level, greatly reducing the time required to prepare data for phonetic analysis. However, existing algorithms are mostly trained on a few well-documented languages. We test the performance of three algorithms against manually aligned data. For at least some tasks, unsupervised alignment (either based on English or trained from a small corpus) is sufficiently reliable for it to be used on legacy data for low-resource languages. Descriptive phonetic work on vowel inventories and prosody can be accurately captured by automatic alignment with minimal training data. Consonants provided significantly more challenges for forced alignment.
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Keyword:
Australian languages; forced alignment; Language Documentation; Phonetics; Yidiny
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URL: http://journals.linguisticsociety.org/proceedings/index.php/PLSA/article/view/4468 https://doi.org/10.3765/plsa.v4i1.4468
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Phylogeny In Phonology: How Tai Sound Systems Encode Their Past [Paper] ...
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Undocumented Labor: How Old Fieldwork Sheds New Light On Tai Tone System Diversification ...
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