We consider various techniques for using the state of the dialog in language modeling. The language models we built were for use in an automated airline travel reservation system. The techniques that we explored include (1) linear interpolation with state specific models and (2) incorporating state information using maximum entropy techniques. We also consider using the system prompt as part of...

We propose a statistical model for natural language that begins by considering language as a monoid, then representing it in complex matrices with a compatible translation invariant probability measure. We interpret the probability measure as arising via the Born rule from a translation invariant matrix product state.

Sign language is used by deaf and hard hearing people to exchange information between their own community and with other people. Computer recognition of sign language deals from sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognit...

The declarative language STR (State Transition Rule) is proposed to describe service specifications and programs. Given that telecommunication service specifications can be represented in the form of a state transition diagram, STR describes conditions for state transitions in the form of a production rule. STR specifications, description examples, categories of feature interactions, examples o...

The Hidden Vector State (HVS) model extends the basic Hidden Markov Model (HMM) by encoding each state as a vector of stack states but with restricted stack operations. The model uses a right branching stack automaton to assign valid stochastic parses to a word sequence from which the language model probability can be estimated. The model is completely data driven and is able to model classes f...

Language Understanding in limited domains is here approached as a problem of language tra~lation in which the target language is a ]o~nal language rather than a natural one. Finite-state transducers are used to model the translation process. Furthermore, these models are automatically learned from ironing data consisting of pairs of natural-language/formal-language sentences. The need for train...

Finite-state technology is at the core of many standard approaches in natural language processing [1, 2]. However, the terminology and the notations differ significantly between theoretical computer science (TCS) [3] and natural language processing (NLP) [4]. In this lecture, inspired by [2, 4], we plan to illustrate the close ties between formal language theory as discussed in TCS and its use ...

In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer inflected forms (Kirchhoff et al., 2006). This exacerbates the out-of-vocabulary (OOV) problem. Test set words are more likely to be unknown, limiting the effectiveness of the model. The goal of this study is to use t...

there are several suffixes in creating diminutive words with endearing meanings in the russian language. structures and their meaning variations, make it difficult for iranian pupils to comprehend its concepts which leads to a multitude of errors in translating and instructing this important issue. many foreign and russian researchers and linguists have studied and gone through diminutive words...