Quantification in Nen

Evans, Nicholas

doi:10.1007/978-3-319-44330-0_11

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Nen is a Papuan language of the Morehead-Maro (or Yam) family (Evans, 2017). It is spoken as a native language in the village of Bimadbn in the Western Province of Papua New Guinea (Evans, 2015(Evans, , 2019.…”

Section: The Nen Languagementioning

confidence: 99%

Proceedings of the Second Workshop on NLP Applications to Field Linguistics

2023

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Section: The Nen Languagementioning

confidence: 99%

Proceedings of the Second Workshop on NLP Applications to Field Linguistics

2023

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“…Nen is a Papuan language of the Morehead-Maro (or Yam) family, located in the southern part of New Guinea (Evans, 2017). It is spoken in the village of Bimadbn in the Western Province of Papua New Guinea, by approximately 400 people, for which it is a primary language (Evans, 2015(Evans, , 2020.…”

Section: The Nen Languagementioning

confidence: 99%

“…(ii) These involve semantically-unspecified prefix series which only acquire meaning when they are combined with suffixes at the other end of the word: thus {yaw-}, in the above example, belongs to the α-series which, if it combines with the 'basic imperfective', will be given a (broadly) non-past reading, but when it combines with the 'past perfective' it will be given a past reading and when it combines with a 'projected imperative' it will be given a future meaning; a β-series form like {taw-}, by contrast, will have a 'yesterday past' interpretation when combining with the 'basic imperfective' suffixes but when combining with imperatives it will have a 'now/immediate command' meaning b) More problematically, prefixes that normally have one reading (such as the yawexample just discussed, which normally marks second/third-person non-singular objects) sometimes have to be given a different meaning (e.g. large plural intransitive subjects) if further parsing to the right encounters a 'middle' rather than a 'transitive dynamic' stem (Evans 2017(Evans , 2019.…”

Section: Verbal Morphologymentioning

confidence: 99%

Modelling Verbal Morphology in Nen

Muradoğlu,

Evans,

Vylomova

2020

Preprint

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Nen verbal morphology is remarkably complex; a transitive verb can take up to 1, 740 unique forms. The combined effect of having a large combinatoric space and a low-resource setting amplifies the need for NLP tools. Nen morphology utilises distributed exponence -a non-trivial means of mapping form to meaning. In this paper, we attempt to model Nen verbal morphology using state-of-the-art machine learning models for morphological reinflection. We explore and categorise the types of errors these systems generate. Our results show sensitivity to training data composition; different distributions of verb type yield different accuracies (patterning with E-complexity). We also demonstrate the types of patterns that can be inferred from the training data through the case study of syncretism.

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Word-initial [h]-drop variation in Nmbo

Kashima

2020

APLV

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This paper presents a natural speech corpus-based study of word initial [h]-drop from the Nmbo speech community of southern Papua New Guinea. It is a speech community within a traditional egalitarian multilingual language ecology sustained by a practice of virilocal exogamy, and there is strong intergenerational transmission of local vernacular languages. This study investigates the propensity of word initial [h]-drop in nouns, based on Nmbo speech data of Kerake tribe people. The results from the Nmbo Sociolinguistic Corpus shows clear age-conditioned variation, with younger speakers showing a higher propensity for [h]-drop. Nmbo speakers residing both within and outside their Nmbo villages of origin appear to be partaking in the innovative [h]-drop. The origin of the [h]-drop appears to be from the village with a more multilingual profile, as would be predicted by the notion of a multilingual feature pool (Cheshire, Kerswill, Fox, & Torgersen, 2011, Mufwene 2001).

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Quantification in Nen

Cited by 4 publications

References 6 publications

Proceedings of the Second Workshop on NLP Applications to Field Linguistics

Proceedings of the Second Workshop on NLP Applications to Field Linguistics

Modelling Verbal Morphology in Nen

Word-initial [h]-drop variation in Nmbo

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