En la última entrada hablé de la emendatio por divinatio. Otra manera de enmendar un pasaje transmitido incorrectamente en toda la transmisión manuscrita es reconstruirlo empleando parcialmente las lecturas erróneas de varios testimonios (combinatio). Esto puede verse en el siguiente pasaje del capítulo 1 del Lucidario, que compara los humores del cuerpo humano...

Interjections are, in Felix Ameka’s memorable formulation, “the universal yet neglected part of speech” (1992). They are rarely the subject of historical, typological or comparative research in linguistics, and as Aimée Lahaussois has shown (2016), they are notably underrepresented in descriptive grammars. As grammars are the main source of data for typologists, this is of course a perfect example of a self-reinforcing feedback loop.

There is a minor industry in speech science and NLP devoted to detecting and removing disfluencies. In some of our recent work we’re showing that treating talk as sanitised text can adversely impact voice user interfaces. However, this is still a minority position. Googlers Dan Walker and Dan Liebling represent the mainstream view well in this blog post: Fair enough, you might say.

Hace dos entradas comencé a hablar de la emendatio en el Lucidario, ofreciendo algunos ejemplos de selectio entre variantes adiáforas. Otra forma de emendatio ocurre cuando un pasaje es transmitido incorrectamente por toda la transmisión manuscrita (ya sea por errores de sustitución o eliminación del texto). Sin pistas textuales, es necesario reconstruir la...

The last time I blindly accepted an invitation to speak was in 2012, when I was invited to an exclusive round table on the future of linguistics at a renowned research institute. As a fresh postdoc I was honoured and bedazzled. When the programme was circulated, I got a friendly email from a colleague asking me how I’d ended up there, and whether I thought the future of linguistics was to be all male.

My day job involves quite a lot of crawling lists of websites to determine statistics about Crossref members and their behaviours. A good example is something I wanted to know recently: in [the current sample](https://samples.research.crossref.org/), how many members display the title and doi (according to the latest display guidelines) on that page? In other words, how many members are doing good things on their landing pages?

Dejo un póster que describe muy brevemente el proyecto hasta ahora, que se presentó en el DARIAH-Day celebrado en la Biblioteca Nacional de España el 7 de noviembre de este año, organizado por la BNE y por CLARIAH-ES. Imagen de miniatura: detalle del vídeo, privilegio rodado de Sancho IV

En la última entrada hablé de los modelos de transcripción desarrollados en Transkribus para editar el Lucidario . En esta entrada quiero hacer una pausa y dedicarme a hablar del marco teórico de lo que ocurrirá en la siguiente etapa de este proyecto de edición, quizá la más sustantiva, la constitutio textus . En la crítica neolachmaniana, la constitutio textus intenta (si esto es acaso posible) establecer un texto que

I recently wanted to use ElasticSearch (or OpenSearch as Amazon terms it from the fork) in an AWS environment, using Python. When I tried to connect I got a very painful 403 Forbidden error.

A [recent XKCD](https://www.explainxkcd.com/wiki/index.php/2839:_Language_Acquisition) caused some amusement: "Vocabulary update: I learned another word today, bringing my total to twelve". We wondered whether there might be possible formulations of this joke that also contained the unique character count, so I wrote the following python script: import num2word import numpy def find_self_reference(): sentence = "I learned another word today