The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. This toolkit is written completely in Java and provides support for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, language detection and more! These tasks are usually required to buil
Cannot read Arrow files containing tensors. Cannot easily modify allocation strategy without implementing a custom memory pool. All allocations are currently 64-byte aligned and padded to 8-bytes. Default memory allocation strategy uses an over-allocation strategy with pointer fixing, which results in significant memory overhead for small buffers. A buffer that requires a single byte for storage m
Apache Arrow is a universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics. It contains a set of technologies that enable data systems to efficiently store, process, and move data. Major components of the project include: The Arrow Columnar Format: a standard and efficient in-memory representation of various datatypes, plain or nested The Arrow IPC For
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