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arXiv · 1608.04465

Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees

Ehsan Shareghi·Matthias Petri·Gholamreza Haffari·Trevor Cohn
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Abstract

Efficient methods for storing and querying are critical for scaling high-order n-gram language models to large corpora. We propose a language model based on compressed suffix trees, a representation that is highly compact and can be easily held in memory, while supporting queries needed in computing language model probabilities on-the-fly. We present several optimisations which improve query runtimes up to 2500x, despite only incurring a modest increase in construction time and memory usage. For large corpora and high Markov orders, our method is highly competitive with the state-of-the-art KenLM package. It imposes much lower memory requirements, often by orders of magnitude, and has runtimes that are either similar (for training) or comparable (for querying).

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Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn. 2016-08-16. Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. https://arxiv.org/abs/1608.04465

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