[ On | No ] syntactic support for error handling - The Go Programming Language

Go team plans around error handling support

Writing #prompts is really the same as writing rules in rule-based #NLP , just at the #semantic level instead of #syntactic #NLU #LLM #Linguistics
- Wears #programmersocks and #spinnyskirt
- #blahaj is my #rubberduck #programming buddy
- Obsessed with #refactoring #code #onthefly
- Loves #businessintegration #modularity #automation and #userexperience
- Loves #eventdriven design
- Knows what goes wrong when #cacheinvalidationstrikesagain
- Knows when to use #regex, when to use #xml, #html, and #json processing libraries, and when to use parser grammar engines like #antlr
- Loves #elegant code and #syntactic sugar
- Wants to use #problemsolving to #build a better world
- Knows #csharp #dotnet #LINQ #regex #vbnet #php #perl #sql and leaning #go #golang
- Listens to #nin #aphextwin #Ashnikko # but hasn't been able to get into #100gecs yet despite knowing why I should
- Wants to #getfedihired

idem …

The concept of #language was modeled more and more after those emerging from interactions with computers, the “computer languages.” It is clear that the syntax of these languages must be obeyed meticulously, otherwise ‘‘garbage in - garbage out.”
Unfortunately, under the leadership of one of the foremost linguists in America, Noam Chomsky, the logico-mathematical principle of fulfilling rigorous #syntactic requirements in so-called “well-formed formulae” was transplanted into the domain of natural languages and became a criterion for “linguistic competence.” This aspect of language ignores the essential role as a means of #communication and perceives language as an end in itself. It is in this castrated form that one believes language is “linear,” that questions have unique answers, that the linguistic problem is to generate “well-formed sentences,” and other misconceptions that have their roots in perceiving language as a monologue.

Spotted "inventor extraordinary" rather than "inventor extraordinaire" in #Spiderman c1965. I was quite surprised to see there was a shift to the latter in American #literature and that it was relatively recent (https://books.google.com/ngrams/graph?content=inventor+extraordinaire%2Cinventor+extraordinary&year_start=1800&year_end=2019&corpus=28&smoothing=3). Interesting case of #syntactic #borrowing where the #lexical borrowing lagged behind the post-nominal placement.

#languagechange #languagevariation #languagecontact #syntax #Marvel #comics

Google Books Ngram Viewer

Google Books Ngram Viewer

Our TMS-EEG study is now out🎉! We show that #TMS over #Broca's area does not interfere with #syntactic #prediction 🧠, and we suggest a role of this region in bottom-up syntactic operations.

Big thanks to all the co-authors for the great team effort✨!

https://doi.org/10.3389/fpsyg.2022.968836

#TMS #EEG #neurolinguistics #syntax

Online neurostimulation of Broca’s area does not interfere with syntactic predictions: A combined TMS-EEG approach to basic linguistic combination

Categorical predictions have been proposed as the key mechanism supporting the fast pace of syntactic composition in language. Accordingly, grammar-based expectations are formed—e.g., the determiner “a” triggers the prediction for a noun—and facilitate the analysis of incoming syntactic information, which is then checked against a single or few other word categories. Previous functional neuroimaging studies point towards Broca’s area in the left inferior frontal gyrus (IFG) as one fundamental cortical region involved in categorical prediction during incremental language processing. Causal evidence for this hypothesis is however still missing. In this study, we combined Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS) to test whether Broca’s area is functionally relevant in predictive mechanisms for language. We transiently perturbed Broca’s area during the first word in a two-word construction, while simultaneously measuring the Event-Related Potential (ERP) correlates of syntactic composition. We reasoned that if Broca’s area is involved in predictive mechanisms for syntax, disruptive TMS during the first word would mitigate the difference in the ERP responses for predicted and unpredicted categories in basic two-word constructions. Contrary to this hypothesis, perturbation of Broca’s area at the predictive stage did not affect the ERP correlates of basic composition. The correlation strength between the electrical field induced by TMS and the ERP ...

Frontiers