On Memory Limitations in Natural Language Processing
This paper proposes a welcome hypothesis: a computationally simple device is sufficient for processing natural language. Traditionally it has been argued that processing natural language syntax requires very powerful machinery. Many engineers have come to this rather grim conclusion: almost all wo...
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2023
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Online Access: | https://hdl.handle.net/1721.1/149526 |
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author | Church, Kenneth Ward |
author2 | Szolovits, Peter |
author_facet | Szolovits, Peter Church, Kenneth Ward |
author_sort | Church, Kenneth Ward |
collection | MIT |
description | This paper proposes a welcome hypothesis: a computationally simple device is sufficient for processing natural language. Traditionally it has been argued that processing natural language syntax requires very powerful machinery. Many engineers have come to this rather grim conclusion: almost all working parsers are actually Turing Machines (TM). For example, Woods specifically designed his Augmented Transition Networks (ATNs) to be Turing Equivalent. |
first_indexed | 2024-09-23T15:13:20Z |
id | mit-1721.1/149526 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T15:13:20Z |
publishDate | 2023 |
record_format | dspace |
spelling | mit-1721.1/1495262023-03-30T03:16:30Z On Memory Limitations in Natural Language Processing Church, Kenneth Ward Szolovits, Peter This paper proposes a welcome hypothesis: a computationally simple device is sufficient for processing natural language. Traditionally it has been argued that processing natural language syntax requires very powerful machinery. Many engineers have come to this rather grim conclusion: almost all working parsers are actually Turing Machines (TM). For example, Woods specifically designed his Augmented Transition Networks (ATNs) to be Turing Equivalent. 2023-03-29T15:04:34Z 2023-03-29T15:04:34Z 1980-09 https://hdl.handle.net/1721.1/149526 7006245 MIT-LCS-TR-245 application/pdf |
spellingShingle | Church, Kenneth Ward On Memory Limitations in Natural Language Processing |
title | On Memory Limitations in Natural Language Processing |
title_full | On Memory Limitations in Natural Language Processing |
title_fullStr | On Memory Limitations in Natural Language Processing |
title_full_unstemmed | On Memory Limitations in Natural Language Processing |
title_short | On Memory Limitations in Natural Language Processing |
title_sort | on memory limitations in natural language processing |
url | https://hdl.handle.net/1721.1/149526 |
work_keys_str_mv | AT churchkennethward onmemorylimitationsinnaturallanguageprocessing |