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- W2096072088 abstract "We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to large tagsets and corpora. We advocate the use of relatively simple tags that do not require deep linguistic knowledge of the language but provide more structural information than POS tags and can be derived from automatically generated parse trees - a combination of properties that allows easy adoption of this model for new languages. We propose two fine-grain tagsets and evaluate our model using these tags, as well as POS tags and SuperARV tags in a speech recognition task and discuss future directions." @default.
- W2096072088 created "2016-06-24" @default.
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- W2096072088 date "2009-01-01" @default.
- W2096072088 modified "2023-09-27" @default.
- W2096072088 title "A joint language model with fine-grain syntactic tags" @default.
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- W2096072088 doi "https://doi.org/10.3115/1699648.1699657" @default.
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