Attempts to classify Tupí-Guaraní languages have so far been inconsistent with archaeological evidence and ignored information from historical sources. The case of Tupinambá is most illustrative in this regard. Using both Bayesian phylogenetic analysis and a stochastic algorithm that reconstructs phylogenetic trees by relying on maximum likelihood estimation, we suggest a new internal classification of the Tupí-Guaraní branch. The results of the analyses are in accordance with the most recent genetic research on Tupían populations and challenge previous classifications by suggesting, among others, that Tupinambá should not be considered a ‘Guaraní’ language.

Tupí-Guaraní is one of the largest branches of the Tupían language family, but despite its relevance there is no consensus about its origins in terms of age, homeland, and expansion. Linguistic classifications vary significantly, with archaeological studies suggesting incompatible date ranges while ethnographic literature confirms the close similarities as a result of continuous inter-family contact. To investigate this issue, we use a linguistic database of cognate data, employing Bayesian phylogenetic methods to infer a dated tree and to build a phylogeographic expansion model. Results suggest that the branch originated around 2500 BP in the area of the upper course of the Tapajós-Xingu basins, with a split between Southern and Northern varieties beginning around 1750 BP. We analyse the difficulties in reconciling archaeological and linguistic data for this group, stressing the importance of developing an interdisciplinary unified model that incorporates evidence from both disciplines.

The last two decades witnessed a rapid growth of publicly accessible online language resources. This has allowed for valuable data on lesser known languages to become available. Such resources provide linguists with opportunities for advancing their research. Yet despite the proliferation of lexical and morphological databases, the ca. 456 languages spoken in South America are poorly represented, particularly the Tupían family, which is the largest on the continent. This paper therefore introduces and discusses TuLeD, a lexical database exclusively devoted to a South American language family. It provides a comprehensive list of lexical items presented in a unified transcription for all languages with cognacy assignment and relevant (cultural or linguistic) notes. One of the main goals of TuLeD is to become a full-fledged database and a benchmark for linguistic studies on South American languages in general and the Tupían family in particular.

Tupí-Guaraní is one of the largest branches of the Tupían language family, but despite its relevance there is no consensus about its origins in terms of age, homeland, and expansion. Linguistic classifications vary significantly, with archaeological studies suggesting incompatible date ranges while ethnographic literature confirms the close similarities as a result of continuous inter-family contact. To investigate this issue, we use a linguistic database of cognate data, employing Bayesian phylogenetic methods to infer a dated tree and to build a phylogeographic expansion model. Results suggest that the branch originated around 2500 BP in the area of the upper course of the Tapajós-Xingu basins, with a split between Southern and Northern varieties starting around 1750 BP. We analyse the difficulties in reconciling archaeological and linguistic data for this group, stressing the importance of developing an interdisciplinary unified model that incorporates evidence from both disciplines.

Katukinan, Arawan, and Harakmbut are small language families spoken in southwestern Amazonia. These families have received some attention, but there are no consistently transcribed and machine-readable datasets available for them. We address this lacuna by introducing the first publicly available linguistic dataset of Arawan languages as the first part of the Katukinan-Arawan-Harakmbut Database, created with the goal of providing and regularly updating a list of lexical items in a consistent transcription and with cognacy annotation. The database is being developed to be used in quantitative and genealogical investigations.