Collecting Texts in Endangered Languages: The Chickasaw Narrative Bootcamp

While data collection early in the Americanist tradition included texts as part of the Boasian triad, later developments in the generative tradition moved away from narratives. With a resurgence of attention to texts in both linguistic theory and language documentation, the literature on methodologies is growing (i.e., Chelliah 2001, Chafe 1980, Burton & Matthewson 2015). We outline our approach to collecting Chickasaw texts in what we call a ‘narrative bootcamp.’ Chickasaw is a severely threatened language and no longer in common daily use. Facilitating narrative collection with elder fluent speakers is an important goal, as is the cultivation of second language speakers and the training of linguists and tribal language professionals. Our bootcamps meet these goals. Moreover, we show many positive outcomes to this approach, including a positive sense of language use and ‘fun’ voiced by the elders, the corpus expansion that occurs by collecting and processing narratives onsite in the workshop, and field methods training for novices. Importantly, we find the sparking of personal recollections facilitates the collection of heretofore unrecorded narrative genres in Chickasaw. This approach offers an especially fruitful way to build and expand a text corpus for small communities of highly endangered languages.National Foreign Language Resource Cente

ALMA and Keck analysis of Fomalhaut field sources: JWST's Great Dust Cloud is a background object

At 7.7 pc, the A-type star Fomalhaut hosts a bright debris disk with multiple radial components. The disk is eccentric and misaligned, strongly suggesting that it is sculpted by interaction with one or more planets. Compact sources are now being detected with JWST, suggesting that new planet detections may be imminent. However, to confirm such sources as companions, common proper motion with the star must be established, as with unprecedented sensitivity comes a high probability that planet candidates are actually background objects. Here, ALMA and Keck observations of Fomalhaut are found to show significant emission at the same sky location as multiple compact sources in JWST MIRI coronagraphic observations, one of which has been dubbed the "Great Dust Cloud" because it lies within the outer belt. Since the ground-based data were obtained between 6 to 18 years prior to the JWST observations, these compact sources are unlikely to be common proper motion companions to Fomalhaut. More generally, this work illustrates that images collected at a range of wavelengths can be valuable for rejecting planet candidates uncovered via direct imaging with JWST.Comment: MNRAS in pres

'Ilittibaatoksali' 'We Are Working Together': Perspectives on our Chickasaw Tribal-Academic Collaboration

Here we present research resulting from a tribal-academic collaboration between the Chickasaw Language Revitalization Program (CLRP) and the University of Texas at Arlington (UTA). This collaboration began three years ago, with a UTA service-learning trip to Ada, Oklahoma. The Chickasaw Language Revitalization Program is vigorously engaged in many activities to support language use by the remaining 70 or so fluent speakers. Communities facing such stark endangerment must address revitalization and documentation simultaneously, and in a way that maximizes resources. Our partnership addresses this challenge. This paper draws on the principles of Community-Based Language Research, defined in Czaykowska-Higgins (2009: 24) as a model that “not only allows for the production of knowledge on a language, but also assumes that that knowledge can and should be constructed for, with, and by community members, and that it is therefore not merely (or primarily) for or by linguists.” Benefitting from an action-research model, our collaboration supports the Chickasaw community by developing revitalization-driven documentation and training materials for learners that both feed into and are drawn from documentation. Both sides of our collaboration are committed to the transfer of knowledge, especially sharing our findings and knowledge with other endangered language communities. ----- Nous présentons ici des recherches issues d’une collaboration tribale-académique entre le programme de revitalisation chickasaw (Chickasaw Language Revitalization Program, CLRP) et l’Université du Texas à Arlington (UTA). Cette collaboration a commencé il y a trois ans dans le cadre d’un voyage de service-apprentissage à Ada, Oklahoma. Le programme de revitalisation de langue chickasaw consiste en de nombreuses activités destinées à appuyer l’emploi de la langue chez les 70 personnes restantes environ qui parlent couramment la langue. Les communautés linguistiques confrontées à une grande menace de disparition doivent aborder la revitalisation et la documentation en même temps, et ce d’une manière qui maximise les ressources. Notre partenariat s’attaque à ce défi. Cet article s’appuie sur les principes de recherche linguistique issue de la communauté (Community-Based Language Research), définie dans Czaykowska-Higgins (2009: 24) comme un modèle qui permet la production des données sur une langue mais qui présume également que ces données peuvent et doivent être construites pour, avec et par des membres de la communauté, et qu’elles ne sont pas uniquement (ou même principalement) produites par ou destinées aux linguistes. Profitant d’un modèle de rechercheaction, notre collaboration soutient la communauté chickasaw en développant des matériaux de documentation et de formation pour des apprenants, centrée sur la revitalisation, qui alimentent et sont tirés de la documentation. Les deux côtés de notre collaboration se sont engagés au transfert du savoir, surtout le partage de nos découvertes et de notre savoir avec d’autres communautés de langue en voie de disparition

GLIMMER: generalized late-interaction memory reranker

Memory-augmentation is a powerful approach for efficiently incorporating external information into language models, but leads to reduced performance relative to retrieving text. Recent work introduced LUMEN, a memory-retrieval hybrid that partially pre-computes memory and updates memory representations on the fly with a smaller live encoder. We propose GLIMMER, which improves on this approach through 1) exploiting free access to the powerful memory representations by applying a shallow reranker on top of memory to drastically improve retrieval quality at low cost, and 2) incorporating multi-task training to learn a general and higher quality memory and live encoder. GLIMMER achieves strong gains in performance at faster speeds compared to LUMEN and FiD on the KILT benchmark of knowledge-intensive tasks

Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute

Retrieval-augmented language models such as Fusion-in-Decoder are powerful, setting the state of the art on a variety of knowledge-intensive tasks. However, they are also expensive, due to the need to encode a large number of retrieved passages. Some work avoids this cost by pre-encoding a text corpus into a memory and retrieving dense representations directly. However, pre-encoding memory incurs a severe quality penalty as the memory representations are not conditioned on the current input. We propose LUMEN, a hybrid between these two extremes, pre-computing the majority of the retrieval representation and completing the encoding on the fly using a live encoder that is conditioned on the question and fine-tuned for the task. We show that LUMEN significantly outperforms pure memory on multiple question-answering tasks while being much cheaper than FiD, and outperforms both for any given compute budget. Moreover, the advantage of LUMEN over FiD increases with model size

FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference

Fusion-in-Decoder (FiD) is a powerful retrieval-augmented language model that sets the state-of-the-art on many knowledge-intensive NLP tasks. However, the architecture used for FiD was chosen by making minimal modifications to a standard T5 model, which our analysis shows to be highly suboptimal for a retrieval-augmented model. In particular, FiD allocates the bulk of FLOPs to the encoder, while the majority of inference time results from memory bandwidth constraints in the decoder. We propose two simple changes to the FiD architecture to alleviate memory bandwidth constraints, and speed up inference by 7x. This allows us to use a much larger decoder at modest cost. We denote FiD with the above modifications as FiDO, and show that it strongly improves performance over existing FiD models for a wide range of inference budgets. For example, FiDO-Large-XXL performs faster inference than FiD-Base and achieves better performance than FiD-Large.Comment: ACL Findings 202

The Effect of Gibberellin on Millett

We are testing the effects of gibberellic acid on millet plants to determine if the mutation that caused them to be dwarf plants are gibberellin deficient or if the gibberellin response system is affected. In order to determine this, we will apply gibberellin solution to the millet plants and observe their growth or lack of growth. The dwarf mutant millet plants that are gibberellin would show growth like those with no mutation, and the millet plants that have a mutation in the gibberellin response system would not demonstrate any growth since they would be unable to process the gibberellin. The plants are measured weekly, and the data will determine the significance on the gibberellin application

An analysis of major target deviations in craniospinal irradiation treatment plans for patients with intermediate-risk medulloblastoma within a phase 3 clinical trial (Children\u27s Oncology Group Study ACNS0331)

PURPOSE: Craniospinal irradiation remains an essential and yet difficult part of the treatment of patients with medulloblastoma. Whereas technological advances offer promise of increased conformity, realiance on advanced technology is not without risk, and it remains critical to carefully delineate targets. We describe examples of target deviations (TDs) in craniospinal irradiation treatment plans for postoperative patients with medulloblastoma in a phase 3 clinical trial (ACNS 0331). METHODS AND MATERIALS: The principal investigator independently performed a review of the treatment plans and portal films of enrolled patients and evaluated the plans for TDs. TDs of dose, dose uniformity, and volume were defined as major or minor deviations. Major TDs scored as protocol violations. The effect of major TDs on event-free survival (EFS) and overall survival (OS) was evaluated using the stratified Cox proportional hazards model. RESULTS: Of the 549 patients enrolled, 461 were available for this analysis. Thirty-two (7%) plans did not have data sufficient for TD evaluation. Major TDs were found in 32 of the 461 plans (7%). Of those, 21 were deviations of target volume alone, 7 were deviations of target dose alone, and 4 were deviations of both target volume and dose. The 25 patients with TDs of volume involved 29 sites. The most common major TDs of volume involved the brain (9 of 29) and the posterior fossa (9 of 29). On Cox proportional hazards modeling, the presence of a major TD did not statistically significantly affect EFS (hazard ratio, 0.98; 95% confidence interval, 0.45-2.11; CONCLUSIONS: Although intensity modulated radiation therapy and proton therapy are promising in improving conformity and sparing organs at risk, technology does not substitute for careful anatomic definition of target volumes. The study was not powered to evaluate the effect of TDs on EFS and OS; therefore, the statistical analysis presented in this study must be interpreted with caution

No evidence for changes in GABA concentration, functional connectivity, or working memory following continuous theta burst stimulation over dorsolateral prefrontal cortex

Continuous theta burst stimulation (cTBS) is thought to reduce cortical excitability and modulate functional connectivity, possibly by altering cortical inhibition at the site of stimulation. However, most evidence comes from the motor cortex and it remains unclear whether similar effects occur following stimulation over other brain regions. We assessed whether cTBS over left dorsolateral prefrontal cortex altered gamma aminobutyric acid (GABA) concentration, functional connectivity and brain dynamics at rest, and brain activation and memory performance during a working memory task. Seventeen healthy individuals participated in a randomised, sham-controlled, cross-over experiment. Before and after either real or sham cTBS, magnetic resonance spectroscopy was obtained at rest to measure GABA concentrations. Functional magnetic resonance imaging (fMRI) was also recorded at rest and during an n-back working memory task to measure functional connectivity, regional brain activity (low-frequency fluctuations), and task-related patterns of brain activity. We could not find evidence for changes in GABA concentration (P = 0.66, Bayes factor [BF10] = 0.07), resting-state functional connectivity (P(FWE) > 0.05), resting-state low-frequency fluctuations (P = 0.88, BF10 = 0.04), blood-oxygen level dependent activity during the n-back task (P(FWE) > 0.05), or working memory performance (P = 0.13, BF10 = 0.05) following real or sham cTBS. Our findings add to a growing body of literature suggesting the effects of cTBS are highly variable between individuals and question the notion that cTBS is a universal ‘inhibitory’ paradigm