Parsing Thai Social Data: A New Challenge for Thai NLP

Dependency parsing (DP) is a task that analyzes text for syntactic structure and relationship between words. DP is widely used to improve natural language processing (NLP) applications in many languages such as English. Previous works on DP are generally applicable to formally written languages. However, they do not apply to informal languages such as the ones used in social networks. Therefore, DP has to be researched and explored with such social network data. In this paper, we explore and identify a DP model that is suitable for Thai social network data. After that, we will identify the appropriate linguistic unit as an input. The result showed that, the transition based model called, improve Elkared dependency parser outperform the others at UAS of 81.42%.Comment: 7 Pages, 8 figures, to be published in The 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2019

Robust semantic analysis for adaptive speech interfaces

The DUMAS project develops speech-based applications that are adaptable to different users and domains. The paper describes the project's robust semantic analysis strategy, used both in the generic framework for the development of multilingual speech-based dialogue systems which is the main project goal, and in the initial test application, a mobile phone-based e-mail interface

On the automaticity of language processing

People speak and listen to language all the time. Given this high frequency of use, it is often suggested that at least some aspects of language processing are highly overlearned and therefore occur “automatically”. Here we critically examine this suggestion. We first sketch a framework that views automaticity as a set of interrelated features of mental processes and a matter of degree rather than a single feature that is all-or-none. We then apply this framework to language processing. To do so, we carve up the processes involved in language use according to (a) whether language processing takes place in monologue or dialogue, (b) whether the individual is comprehending or producing language, (c) whether the spoken or written modality is used, and (d) the linguistic processing level at which they occur, that is, phonology, the lexicon, syntax, or conceptual processes. This exercise suggests that while conceptual processes are relatively non-automatic (as is usually assumed), there is also considerable evidence that syntactic and lexical lower-level processes are not fully automatic. We close by discussing entrenchment as a set of mechanisms underlying automatization