[This idea is a very rough sketch. Therefore, it's quite messy and requires some work and learning.]
The combination of dependency structures and part-of-speech (POS) tagging supplies us with the following information:
1. The linguistic category to which the word belongs
2. The words around it which are related to it
3. The type of that relation
An Idea
Merge many [...]
[This post is a very quick sketch.]
Most information-rich websites, such as IMDB and AllMusic, display data in a highly structured template. This highly structured system can be enriched using meta-tagging of fields and relations between them. Similar to what you have in relational databases, but much richer and semantically oriented. If such meta-data is shared [...]
The question of how humans handle language is of great value and deserves quite a bit of deep research on its own. However, its value lies beyond the natural boundaries of cognitive science. Since the human mind presents a working language model, we can copy from it while building computerized language models. Even a shallow [...]
Also tagged ambiguity, CHILDES, cognitive science, cogsci, language, learning, statistical modelsHere I wish to outline (and sort a bit) two principles I have in mind in dealing with ambiguousness in linguistic input. My point is to suggest ways that might reflect upon the way the human mind deals with this issue. Ambiguity issues are solved by the human mind seamlessly and with probably very little [...]
Also tagged ambiguity, ambiuous, languageNatural language is both a human creation and used only by humans. This suggests a strong connection between the traits of the language itself and the inner works of the human brain. It seems to me like that the structure of the brain is well optimized for the task and at the same time the [...]
Also tagged language, object oriented, presentationKids have an easy time getting a new language. This difference is not only in the ease of acquisition, but also in the higher quality of the result. It seems that a child’s brain is more susceptible and ready to acquire a new language. It’s known that the human brain is being massively hard wired [...]
Also tagged brain, language acquisition, learningThe issue of false inputs in language acquisition is a well known one and considered critical to NLP applications. For instance, computer automated acquisition of language through data on the Internet will require to sift through a large percentage of false data. Statistical models try to overcome this difficulty by assuming that most of the [...]
Also tagged credibility, language acquisition, learning, statistical models