Exact(3)
Other prototype systems can be viewed as striving towards more general mental modeling, by incorporating ideas and techniques from task-oriented dialogue systems concerning dialogue states, dialogue acts, and deeper language understanding (e.g., Callaway et al. 2007).
"[State legislators] engaging in unconstitutional, immoral actions must be challenged and taken on with a deeper language of what's right and what's wrong," he said.
One study in English also did not find N170 differences between words and pseudowords, but the participants performed a lexical task that encouraged deeper language processing of the pseudowords, which is in agreement with the automaticity hypothesis [ 21].
Similar(57)
For Mr. Moser, these deep language structures operate on conscious and subconscious levels, showing enduring, patriarchal attitudes.
It's a poignant episode, a dream-like short story that ends with CK eating dinner with a random Chinese family – profoundly happy despite, or perhaps because of, the deep language and wealth divide.
"The deep language of the genes is an Esperanto of biological design which can be understood by a Babel of organisms," he writes at one point about the genetic origins of eyes.
The saxophonist Houston Person's background is in the 1950's, when a good deal of jazz was completely submerged in rhythm-and-blues, and he is one of the few mainstream jazz performers today who can routinely find access to the deep language of pleasure from that time.
His background is in the 1950's, when a good deal of jazz was completely submerged in rhythm and blues, and he's one of the few mainstream jazz performers today who can routinely find access to the deep language of pleasure from that time.
Indirect methods abstract (more or less) formal generic knowledge from the patterns of language found in miscellaneous reports, stories, essays, weblogs, etc. Reliably extracting knowledge by the direct method requires relatively deep language understanding, and consequently is far from a mature technology.
DeepTutor is a state-of-the-art conversational ITS that is intended to increase the effectiveness of conversational ITSs by promoting deep learning of complex science topics through a combination of advanced domain modeling methods, deep language and discourse processing algorithms, and advanced tutorial strategies.
It will not be necessary to be fluent in Scala to grasp the concepts being presented here, yet we think that a short introduction to this deep language and its syntax will make it easier to understand the examples in this article.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com