Предсказание слов

Over the years, many proposals have been made to incorporate assorted types of feature in language models. However, discrepancies between training sets, evaluation criteria, algorithms, and hardware environments make it …...

In word prediction systems for augmentative and al- ternative communication (AAC), productive word- formation processes such as compounding pose a serious problem. We present a model that predicts German nominal …...

Word prediction is the problem of guessing which words are likely to follow in a given segment of a text to help a user with disabilities. As the user enters …...

This paper presents a novel latent variable re- current neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences. A recurrent neural network …...

This paper presents a novel approach to low resource language modeling. Here we propose a model for word prediction which is based on multi-variant ngram ab- straction with weighted confidence …...

AbstractProbabilistic finite automata (PFAs) are com- mon statistical language model in natural lan- guage and speech processing. A typical task for PFAs is to compute the probability of all strings …...

AbstractThere have been many successful applications of sentence embedding methods. However, it has not been well understood what properties are captured in the resulting sentence embeddings depending on the supervision …...