Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0

UltraSuite is a repository of ultrasound and acoustic data from child speech therapy sessions. The current release includes three data collections, one from typically developing children (UXTD) and two from children with speech sound disorders (UXSSD and UPX). This dataset contains additional materials for version 1.0 of Ultrax Typically Developing Children (UXTD), Ultrax Speech Sound Disorders (UXSSD), and UltraPhonix (UPX). It includes transcriptions, labels provided by speech therapists, reference labels with word boundaries, and automatically-derived speaker labels (therapist or child), phone boundary labels, and word boundary labels.Eshky, Aciel; Ribeiro, Manuel Sam; Cleland, Joanne; Renals, Steve; Richmond, Korin; Roxburgh, Zoe; Scobbie, James; Wrench, Alan. (2018). Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0, [dataset]. University of Edinburgh. School of Informatics. https://doi.org/10.7488/ds/2429

Maˈya (Laganyan dialect: ISO 369-3: lcc, Glottocode: lege1241) Collection

The following datasets are part of the Collection: *Arnold, Laura. (2023). LAG001 - Laganyan Maˈya - Basic vocabulary (landscape, plants, animals), 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7560. Arnold, Laura. (2023). LAG002 - Laganyan Maˈya - Basic words (humans, body parts, verbs, numbers, qualities, cultural items), 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7561. *Arnold, Laura. (2023). LAG003 - Laganyan Maˈya - Verbal, possessive, and pronominal paradigms, 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7562. *Arnold, Laura. (2024). LAG - Maˈya (Laganyan dialect: ISO 369-3: lcc, Glottocode: lege1241) segmented files, 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7668.This collection forms part of a community of linguistic datasets https://datashare.ed.ac.uk/handle/10283/8573. Laganyan [ISO 369-3: lcc, Glottocode: lege1241] is a dialect of Maˈya spoken in three villages along the coast of Mayalibit Bay in central Waigeo island. This collection comprises elicited lexical and morphosyntactic data, recorded from a single speaker (Arfus Saleo, born 1979). There is a list of basic words (around 350, recorded in isolation, utterance-final, and utterance-medial contexts), as well as data on the verbal subject agreement and possessive-marking paradigms. Each item contains an audio recording (.wav), the accompanying field notes (.pdf), a metadata file (.txt), and a record of speaker consent (.pdf). As well as the raw recordings of the individual sessions, the segmented audio files are provided as a separate item, to facilitate searches on a particular word or construction.Arnold, Laura M. (2023). Maˈya (Laganyan dialect: ISO 369-3: lcc, Glottocode: lege1241) (2023). University of Edinburgh. School of Philosophy, Psychology and Language Sciences. Linguistics and English Language. https://datashare.ed.ac.uk/handle/10283/859

Batta (Glottocode: bata1295) Collection

The following datasets are part of the Collection: *Arnold, Laura. (2023). BAT001 - Batta - A history of Batta speakers, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7584. *Arnold, Laura. (2023). BAT024 - Batta - Verbal subject-marking paradigms; conversational questionnaires ('Eating banana hearts', 'Using a canoe', 'Chewing betel nut'), 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7607. *Arnold, Laura. (2023). BAT016 - Batta - Conversational questionnaire (Dialogue F, 'Lifting stones') and morphosyntactic data, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7599. *Arnold, Laura. (2023). BAT010 - Batta - Basic vocabulary (Speaker: Ema Sawoy), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7593. *Arnold, Laura. (2023). BAT004 - Batta - Basic vocabulary (Speaker: Magdalena Sauyai), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7587. *Arnold, Laura. (2023). BAT017 - Batta - Morphosyntactic data, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7600. *Arnold, Laura. (2023). BAT022 - Batta - Batta song, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7605. *Arnold, Laura. (2023). BAT021 - Batta - Morphosyntactic data, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7604. *Arnold, Laura. (2023). BAT025 - Batta - Morphosyntactic data, 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7608. *Arnold, Laura. (2023). BAT019 - Batta - The North Wind and the Sun, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7602. *Arnold, Laura. (2023). BAT007 - Batta - Narrative: The time I met a mermaid, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7590. *Arnold, Laura. (2023). BAT005 - Batta - Basic vocabulary (Speaker: Martina Kapisa), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7588. *Arnold, Laura. (2023). BAT002 - Batta - Basic words (Speaker: Hans Ferson Sawoy), 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7585. *Arnold, Laura. (2023). BAT018 - Batta - Narrative: Children's story ('The mudskipper and the pufferfish'), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7601. *Arnold, Laura. (2023). BAT003 - Batta - Conversational questionnaire (Dialogue A, 'We're going fishing'), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7586. *Arnold, Laura. (2023). BAT011 - Batta - Conversational questionnaire (Dialogue D, 'A family photo album'), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7594. *Arnold, Laura. (2023). BAT014 - Batta - Minimal pairs, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7597. *Arnold, Laura. (2023). BAT026 - Batta - Checking sketch, 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7609. *Arnold, Laura. (2023). BAT009 - Batta - Flute and drum procession, Wayman, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7592. *Arnold, Laura. (2023). BAT006 - Batta - Basic vocabulary (Speaker: Septinus Mde), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7589. *Arnold, Laura. (2023). BAT008 - Batta - Basic words (Speaker: Yafed Kapisa), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7591. *Arnold, Laura. (2023). BAT023 - Batta - Basic words, verbal/adjectival subject-marking paradigms, 2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7606. *Arnold, Laura. (2023). BAT015 - Batta - Written pronominal and verbal subject-marking paradigms, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7598. *Arnold, Laura. (2023). BAT012 - Batta - Conversation questionnaire (Dialogue E, 'A boy falls'), 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7595. *Arnold, Laura. (2023). BAT013 - Batta - Verbal subject-marking paradigms, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7596. *Arnold, Laura. (2023). BAT020 - Batta - Minimal pairs, 2019 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7603. *Arnold, Laura. (2024). BAT - Batta (Glottocode: bata1295) segmented files, 2019-2023 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7672.This collection forms part of a community of linguistic datasets https://datashare.ed.ac.uk/handle/10283/8573 Batta [Glottocode: bata1295] is spoken by around 150 people in three villages on the south coast of Batanta island. Batta is either a divergent dialect or a closely-related sister of Salawati [xmx, made1253], spoken just across the Sagewin Straits on Salawati island. Speakers of Batta have a long and intricate history with speakers of Biak [bhw, biak1248], who have migrated to Batanta in several waves over the last few hundred years; today, Biak is the dominant language of the island, and younger generations are monolingual in Papuan Malay. Batta is seriously endangered, in that only people in their 40s and older use the language on a daily basis. This collection largely comprises elicited lexical and morphosyntactic data. There is a list of basic words (around 350, recorded in isolation, utterance-final, and utterance-medial contexts); data on the verbal subject agreement and possessive-marking paradigms; other morphosyntactic material; data elicited using the Conversational Questionnaire method; and a couple of narratives. The collection includes material from both male and female speakers, all of whom are in their 40s and older. Typically, each item contains an audio recording (.wav), the accompanying field notes (.pdf), a metadata file (.txt), and a record of speaker consent (.pdf); many items also include a Praat TextGrid, and some items also include a video recording (.mp4) and/or an Elan file (.eaf). As well as the raw recordings of the individual sessions, the segmented audio files of some sessions are provided as a separate item, to facilitate searches on a particular word or construction.Arnold, Laura M. (2023). Batta (Glottocode: bata1295) (2023). University of Edinburgh. School of Philosophy, Psychology and Language Sciences. Linguistics and English Language. https://datashare.ed.ac.uk/handle/10283/861

Strategic use of (un)certainty expressions

Speakers have a number of options when introducing propositions which they take to be uncertain: for instance, they can use verbs such as 'know', 'believe' or 'think'. The production of uncertainty expressions is highly context dependent. One promising approach to capturing the semantic meaning of these expressions takes them to be available only when the speaker's confidence in the proposition exceeds some threshold. However, it is unclear whether this approach deals satisfactorily with the full range of usages of uncertainty expressions. For instance, speakers may use them to achieve social goals such as toning down the force of their assertion. In this case they pursue another communicative goal than just being cooperative, they also aim to be polite. The current study investigates the speakers' motivations in choosing between uncertainty expressions such as 'believe' or the factive 'know' in two controlled contexts. More specifically, we show that speakers' choice of expression is influenced by (i) how likely they estimate an event to be and (ii) strategic considerations relating to the communicative context in which they are working. Thus, speakers adjust their language as a manipulative process. We situate these results in the context of threshold semantics.University of Edinburgh. School of Philosophy, Psychology and Language Sciences. Department of Linguistics.. (2021). Strategic use of (un)certainty expressions, 2020 [dataset]. https://doi.org/10.7488/ds/3011

A Linguistic Atlas of Older Scots: LAOS

LAOS aims to present information about the variation in space and time of linguistic forms found in Older Scots texts. Older Scots conventionally covers the period 1150 to 1700, although the extant continuous texts date between 1380 and 1700. This first phase of the atlas covers the earlier period, 1380 to 1500. Also, the corpus of texts used in this version, 1.1, contains primarily ‘local documents’, i.e. writings which can be localized from internal, non-linguistic references. A sub-corpus of literary texts in manuscripts from the period before 1500 is in preparation. The aim is to add this to LAOS as time permits during the next two or three years (2008 - 2011)

Data reported in Jasmeen Kanwal's PhD Thesis Chapter 3

This is data from the two experiments reported in Chapter 3 ("Word length and predictability in context") of my University of Edinburgh PhD thesis (https://www.era.lib.ed.ac.uk/handle/1842/33051). The experiments are also reported in a manuscript for journal submission, entitled "Information content affects word length in an artificial language communication task".Kanwal, Jasmeen. (2019). Data reported in Jasmeen Kanwal's PhD Thesis Chapter 3, 2016-2017 [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2536

The documentation of Ambel, an Austronesian language of Eastern Indonesia

This collection is an audio-visual documentation of Ambel. Ambel is an endangered language with around 1600 speakers. It is spoken in the Raja Ampat archipelago in West Papua province, Indonesia. Genetically it is an Austronesian language, of the South Halmahera-West New Guinea branch. However, like many of the Austronesian languages of Papua, it shows evidence of prolonged and intense contact with non-Austronesian languages, such as a complex prosodic system, clause-final negation, and many words with a non-Austronesian origin.Arnold, Laura. 2017. The documentation of Ambel, an Austronesian language of Eastern Indonesia. London: SOAS, Endangered Languages Archive. URL: http://elar.soas.ac.uk/deposit/0377. Accessed on DATE. If audio or visual material is used from this deposit (including photographs), the user is also required to acknowledge the individual speakers by name

Electronic Corpus of spontaneous speech of Japanese-speaking children (age 1-2 years)

CHILDES: The PhonBank ProjectPhonBank is supported by grant RO1-HD051698 from NIH-NICHHD to Brian MacWhinney and Yvan Rose. The title is "A Shared Database for the Study of Phonological Development." This new database will rely on the PHON program, being designed and built by Yvan Rose and Greg Hedlund. PHON is designed to facilitate phonological and phonetic analysis of data transcribed in CHAT. We are working with a group of child phonologists to construct PhonBank

Data for 'An Investigation into the Locality Effects Found in Dutch and Frisian Specificational Copular Sentences'

This dataset contains the data (SPSS .sav file) used in the MSc by Research (Linguistics) dissertation 'An Investigation into the Locality Effects Found in Dutch and Frisian Specificational Copular Sentences'.This data was collected from Dutch and Frisian participants and shows how they respond to specificational copular sentences when they are embedded under modal and raising verbs. Two tests were conducted: the first was a cloze test where participants had to fill in the missing finite verb in the sentence. This tested whether participants used a finite verb which agrees with the first noun phrase or the second noun phrase. The second test was a judgement test where participants had to rate different versions of the same sentence where the finite verb either agreed with the first noun phrase or the second noun phrase.Holmes, Elliot. (2019). Data for 'An Investigation into the Locality Effects Found in Dutch and Frisian Specificational Copular Sentences', [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences.

Moi (ISO 369-3: mxn, Glottocode moii1235) Collection

The following datasets are part of the Collection: *Arnold, Laura. (2023). MOI001 - Moi - Basic vocabulary (Speaker: Luter Salamala), 2014 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7654. *Arnold, Laura. (2023). MOI005 - Moi - Basic words (Speaker: Hendrik Mili), 2020 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7658. *Arnold, Laura. (2023). MOI002 - Moi - Basic words (Speaker: Yance Sani), 2020 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7655. *Arnold, Laura. (2023). MOI004 - Moi - Morphosyntactic data (including verbal subject-marking and possessive paradigms); Conversational questionnaire (Dialogue A, 'We're going fishing'), 2020 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7657. *Arnold, Laura. (2023). MOI003 - Moi - Basic vocabulary (Speaker: Corina Mainolo), 2020 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7656. *Arnold, Laura. (2024). MOI - Moi (ISO 369-3: mxn, Glottocode moii1235) segmented files, 2020 [dataset]. University of Edinburgh. School of Philosophy, Psychology & Language Sciences. Department of Linguistics & English Language. https://doi.org/10.7488/ds/7671.This collection forms part of a community of linguistic datasets https://datashare.ed.ac.uk/handle/10283/8573. Moi [ISO 369-3: mxn, Glottocode moii1235] belongs to the West Bird's Head family. It is spoken by around 4,600 people in villages to the north and east of Sorong town. The data in this collection come from speakers in Asbaken village, where the Austronesian language As [asz, asss1237] was also historically spoken. This collection comprises elicited lexical and some morphosyntactic data, recorded from several speakers. There is a list of basic words (around 150, recorded in isolation, utterance-final, and utterance-medial contexts), as well as some basic phrases. Each item contains an audio recording (.wav), the accompanying field notes (.pdf), a metadata file (.rtf), and a record of speaker consent (.pdf).Arnold, Laura M. (2023). (2023). University of Edinburgh. School of Philosophy, Psychology and Language Sciences. Linguistics and English Language. https://datashare.ed.ac.uk/handle/10283/869