Триграмм моделі
Related Papers
Hardware for Hidden Markov-Model-Based, Large-Vocabulary Real-Time Speech Recognition
SRI and U.C. Berkeley have begun a cooper- ative effort to develop a new architecture for real-time implementation of spoken language systems (SLS). Our goal is to develop fast speech …...
Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing
: In a lexicalized grammar Ibrnlal- isni such as LexicMized Tree-Adjoining (h'~unmar (I3'AG), each lexicM item is associated with at least one elementary structure (supertag) that localizes syntactic a.nd semantic …...
Language Modeling with Sentence-Level Mixtures
This paperintroduces a simple mixtare language model that attempts to capture long distance conslraints in a sentence or paragraph. The model is an m-component mixture of Irigram models. The models …...
Word Triggers and the EM Algorithm
In this paper, we study the use of so-called word trigger pairs to improve an existing language model, which is typically a tri- gram model in combination with a cache …...
Learning a syntagmatic and paradigmatic structure from language data with a bi-multigram model
In this paper, we present a stochastic language mod- eling tool which aims at retrieving variable-length phrases (multigrams), assuming bigram dependen- cies between them. The phrase retrieval can be in- …...
A Large-Vocabulary Bilingual Speech Recognition System for Chinese and Japanese Language
Bilingual or Multilingual speech recognition gradually becomes an attractive research topic because bilingual writings appear almost everywhere in present day. In this paper, we propose a continuous word-based speech recognition …...
A Pylonic Decision-Tree Language Model- with Optimal Question Selection
This paper discusses a decision-tree approach to the problem of assigning probabilities to words following a given text. In contrast with previ- ous decision-tree language model attempts, an algorithm for …...
Immediate-Head Parsing for Language Models
We present two language models based upon an “immediate-head” parser — our name for a parser that conditions all events below a constituent c upon the head of c. While …...
Monotone statistical translation using word groups
AbstractA new system for statistical natural language translation for languages with similar grammar is introduced. Specifically, it can be used with Romanic Languages, such as French, Spanish or Catalan. The …...
The SuperARV Language Model: Investigating the Effectiveness of Tightly Integrating Multiple Knowledge Sources
A new almost-parsing language model incorporat- ing multiple knowledge sources that is based upon the concept of Constraint Dependency Grammars is presented in this paper. Lexical features and syn- tactic …...
Minimum Sample Risk Methods for Language Modeling
This paper proposes a new discriminative training method, called minimum sample risk (MSR), of estimating parameters of language models for text input. While most existing discriminative training methods use a …...
Improving Word Segmentation by Simultaneously Learning Phonotactics
The most accurate unsupervised word seg- mentation systems that are currently avail- able (Brent, 1999; Venkataraman, 2001; Goldwater, 2007) use a simple unigram model of phonotactics. While this sim- plifies …...
Statistical Analysis of Multilingual Text Corpus and Development of Language Models
AbstractThis paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjabi and Nepali and the other, development of language models for three Indian languages i.e. Indian …...
Developing a Spell and Grammar Checker for Icelandic using an Error Corpus
AbstractA lack of datasets for spelling and grammatical error correction in Icelandic, along with language-specific issues, has caused a dearth of spell and grammar checking systems for the language. We …...