Language Evolution and Computation Bibliography

The amount of available digital data for the languages of the world is constantly increasing. Unfortunately, most of the digital data are provided in a large variety of formats and therefore not amenable for comparison and re-use. The Cross-Linguistic Data Formats initiative proposes new standards for two basic types of data in historical and typological language comparison (word lists, structural datasets) and a framework to incorporate more data types (e.g. parallel texts, and dictionaries). The new specification for cross-linguistic data formats comes along with a software package for validation and manipulation, a basic ontology which links to more general frameworks, and usage examples of best practices.

Most languages of the world are taken to result from a combination of a vertical transmission process from older to younger generations of speakers or signers and (mostly) gradual changes that accumulate over time. In contrast, creole languages emerge within a few generations out of highly multilingual societies in situations where no common first language is available for communication (as, for instance, in plantations related to the Atlantic slave trade). Strikingly, creoles share a number of linguistic features (the ‘creole profile’), which is at odds with the striking linguistic diversity displayed by non-creole languages 1–4 . These common features have been explained as reflecting a hardwired default state of the possible grammars that can be learned by humans 1 , as straightforward solutions to cope with the pressure for efficient and successful communication 5 or as the byproduct of an impoverished transmission process 6 . Despite their differences, these proposals agree that creoles emerge from a very limited and basic communication system (a pidgin) that only later in time develops the characteristics of a natural language, potentially by innovating linguistic structure. Here we analyse 48 creole languages and 111 non-creole languages from all continents and conclude that the similarities (and differences) between creoles can be explained by genealogical and contact processes 7,8 , as with non-creole languages, with the difference that creoles have more than one language in their ancestry. While a creole profile can be detected statistically, this stems from an over-representation of Western European and West African languages in their context of emergence. Our findings call into question the existence of a pidgin stage in creole development and of creole-specific innovations. In general, given their extreme conditions of emergence, they lend support to the idea that language learning and transmission are remarkably resilient processes. There are striking similarities among creole languages. Blasi et al. show that these similarities can in fact be explained by the same processes as for non-creole languages, the difference being that creoles have more than one language in their ancestry.