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	Merge branch 'master' into spacy.io
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								setup.py
									
									
									
									
									
								
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					@ -265,6 +265,7 @@ def setup_package():
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                # Language tokenizers with external dependencies
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					                # Language tokenizers with external dependencies
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                "ja": ["mecab-python3==0.7"],
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					                "ja": ["mecab-python3==0.7"],
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                "ko": ["natto-py==0.9.0"],
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					                "ko": ["natto-py==0.9.0"],
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					                "th": ["pythainlp>=2.0"],
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            },
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					            },
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            python_requires=">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
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					            python_requires=">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
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            classifiers=[
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					            classifiers=[
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					@ -1715,7 +1715,36 @@
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                "\tprint(ent.text, ent.start_char, ent.end_char, ent.label_)"
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					                "\tprint(ent.text, ent.start_char, ent.end_char, ent.label_)"
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            ],
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					            ],
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            "author": "Stefan Daniel Dumitrescu, Andrei-Marius Avram"
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					            "author": "Stefan Daniel Dumitrescu, Andrei-Marius Avram"
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        }
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					        },
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					        {
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					            "id": "num_fh",
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					            "title": "Numeric Fused-Head",
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					            "slogan": "Numeric Fused-Head Identificaiton and Resolution in English",
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					            "description": "This package provide a wrapper for the Numeric Fused-Head in English. It provides another information layer on numbers that refer to another entity which is not obvious from the syntactic tree.",
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					            "github": "yanaiela/num_fh",
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					            "pip": "num_fh",
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					            "category": ["pipeline", "research"],
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					            "code_example": [
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					                "import spacy",
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					                "from num_fh import NFH",
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					                "nlp = spacy.load('en_core_web_sm')",
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					                "nfh = NFH(nlp)",
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					                "nlp.add_pipe(nfh, first=False)",
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					                "doc = nlp(\"I told you two, that only one of them is the one who will get 2 or 3 icecreams\")",
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					                "",
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					                "assert doc[16]._.is_nfh == True",
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					                "assert doc[18]._.is_nfh == False",
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					                "assert doc[3]._.is_deter_nfh == True",
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					                "assert doc[16]._.is_deter_nfh == False",
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					                "assert len(doc._.nfh) == 4",
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					            ],
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					            "author": "Yanai Elazar",
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					            "author_links": {
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					                "github": "yanaiela",
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					                "twitter": "yanaiela",
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					                "website": "https://yanaiela.github.io"
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					            }
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					        },
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    ],
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					    ],
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    "categories": [
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					    "categories": [
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